Udemy - The AI Engineer Course 2025 Complete AI Engineer Bootcamp (8.2025)

Creation Time	Nov. 1, 2025, 9:42 a.m.
Last Access Time	Nov. 1, 2025, 9:59 a.m.
File Size	17.1 GB
Keywords	Complete 2025 AI - Udemy Course 8 The Bootcamp Engineer
Total Requests	7
Total Files	1143
Magnet Link	Please wait ...
	Download (Magnet Link) Play (Watch Online)

03. Intro to AI Module Key AI techniques/3. Deep learning.mp4 159.9 MB
05. Intro to AI Module Understanding Generative AI/4. From Language Models to Large Language Models (LLMs).mp4 129.2 MB
07. Intro to AI Module The AI tech stack/4. The importance of open source.mp4 124.7 MB
03. Intro to AI Module Key AI techniques/1. Machine learning.mp4 119.7 MB
09. Intro to AI Module Looking ahead/1. AI ethics.mp4 116.3 MB
03. Intro to AI Module Key AI techniques/2. Supervised, Unsupervised, and Reinforcement learning.mp4 113.4 MB
05. Intro to AI Module Understanding Generative AI/6. From N-Grams to RNNs to Transformers The Evolution of NLP.mp4 106.3 MB
08. Intro to AI Module AI job positions/1. AI strategist.mp4 105.4 MB
68. AI Ethics Module Introduction to AI and Data Ethics/3. Why AI Ethics matter more than ever.mp4 103.9 MB
01. Intro to AI Module Getting started/4. Brief history of AI.mp4 102.2 MB
33. LLMs Module Question and Answer Models With BERT/2. BERT architecture.mp4 99.3 MB
09. Intro to AI Module Looking ahead/2. Future of AI.mp4 95.7 MB
05. Intro to AI Module Understanding Generative AI/7. Phases in building LLMs.mp4 94.9 MB
04. Intro to AI Module Important AI branches/1. Robotics.mp4 93.3 MB
04. Intro to AI Module Important AI branches/2. Computer vision.mp4 93.3 MB
08. Intro to AI Module AI job positions/2. AI developer.mp4 91.1 MB
68. AI Ethics Module Introduction to AI and Data Ethics/2. The AI Lifecycle From data collection to model application.mp4 88.3 MB
34. LLMs Module Text Classification With XLNet/1. GPT vs BERT vs XLNET.mp4 87.6 MB
63. LLM Engineering Module Planning stage/2. Open-Source vs Closed-Source Models.mp4 87.1 MB
30. LLMs Module The Transformer Architecture/6. Multi-headed attention.mp4 86.9 MB
68. AI Ethics Module Introduction to AI and Data Ethics/1. What does the course cover.mp4 86.7 MB
05. Intro to AI Module Understanding Generative AI/8. Prompt engineering vs Fine-tuning vs RAG Techniques for AI optimization.mp4 86.4 MB
59. Speech Recognition Module Background Noise and Spectrograms/3. Dealing with background noise.mp4 85.9 MB
67. LLM Engineering Module Solving Real-World AI Challenges/9. Cost Reduction.mp4 85.3 MB
04. Intro to AI Module Important AI branches/4. Generative AI.mp4 82.4 MB
02. Intro to AI Module Data is essential for building AI/2. How we collect data.mp4 79.8 MB
55. Speech Recognition Module Audio Feature Extraction for AI Applications/2. Frequency-domain and time-frequency-domain audio features.mp4 78.9 MB
08. Intro to AI Module AI job positions/3. AI engineer.mp4 78.8 MB
33. LLMs Module Question and Answer Models With BERT/6. Creating a QA bot.mp4 78.4 MB
75. AI Ethics Module ChatGPT Ethics/5. ChatGPT plagiarism.mp4 77.4 MB
30. LLMs Module The Transformer Architecture/2. The problem with RNNs.mp4 77.2 MB
52. Speech Recognition Module Introduction/1. Welcome to the world of Speech Recognition.mp4 76.3 MB
50. Vector Databases Module Introduction to The Pinecone Vector Database/1. Vector databases, comparison.mp4 76.0 MB
61. Speech Recognition Module Final Discussion and Future Directions/1. Modern practices and applications.mp4 75.9 MB
55. Speech Recognition Module Audio Feature Extraction for AI Applications/1. Time-domain audio features.mp4 75.1 MB
67. LLM Engineering Module Solving Real-World AI Challenges/6. Hallucinations.mp4 73.8 MB
56. Speech Recognition Module Technology Mechanics/7. Selecting the appropriate speech recognition tool.mp4 73.2 MB
58. Speech Recognition Module Transcribing Audio with Google Web Speech API/1. Audio file formats for speech recognition.mp4 73.0 MB
53. Speech Recognition Module Sound and Speech Basics/4. Properties of sound waves.mp4 73.0 MB
64. LLM Engineering Module Crafting and Testing AI Prompts/3. Optimizing Temperature and Top P for Different Use Cases.mp4 72.4 MB
67. LLM Engineering Module Solving Real-World AI Challenges/4. Prompt Structure of Technical Interviews.mp4 72.2 MB
56. Speech Recognition Module Technology Mechanics/3. Deep learning models CNNs, RNNs, and LSTMs.mp4 72.0 MB
76. AI Ethics Module Data and AI Regulatory Frameworks/2. European Union GDPR and the EU Artificial Intelligence Act.mp4 71.9 MB
75. AI Ethics Module ChatGPT Ethics/3. OpenAI’s privacy policies and data handling.mp4 71.6 MB
29. LLMs Module Introduction to Large Language Models/7. What can LLMs be used for.mp4 71.2 MB
75. AI Ethics Module ChatGPT Ethics/1. Understanding ChatGPT.mp4 71.0 MB
60. Speech Recognition Module Transcribing Audio with OpenAI's Whisper/1. 9.1Whisper AI Transformer-based speech-to-text.mp4 70.9 MB
05. Intro to AI Module Understanding Generative AI/5. The efficiency of LLM training. Supervised vs Semi-supervised learning.mp4 70.8 MB
70. AI Ethics Module Ethical Data Collection/1. Ethical sourcing and types of data.mp4 70.6 MB
42. LangChain Module Retrieval Augmented Generation (RAG)/15. Retrieval Maximal Marginal Relevance (MMR) search.mp4 70.3 MB
73. AI Ethics Module Ethical AI for End-Users Businesses/1. Access to AI technology for businesses of all sizes.mp4 69.6 MB
73. AI Ethics Module Ethical AI for End-Users Businesses/2. Transparency in AI decision-making processes.mp4 69.1 MB
54. Speech Recognition Module Analog to Digital Conversion/2. Audio signal processing for Machine Learning and AI.mp4 68.6 MB
34. LLMs Module Text Classification With XLNet/3. Preprocessing our data.mp4 68.3 MB
69. AI Ethics Module The Core Principles of AI Ethics/4. Fairness.mp4 68.2 MB
64. LLM Engineering Module Crafting and Testing AI Prompts/2. The OpenAI Playground.mp4 68.0 MB
75. AI Ethics Module ChatGPT Ethics/4. Misinformation and AI-generated content.mp4 67.7 MB
38. LangChain Module The OpenAI API/4. Temperature, max tokens, and streaming.mp4 66.9 MB
46. LangGraph Module Message Management/6. Summarizing messages.mp4 66.5 MB
22. NLP Module Identifying Parts of Speech and Named Entities/5. Practical task.mp4 66.2 MB
56. Speech Recognition Module Technology Mechanics/2. Hidden Markov Models (HMMs) and traditional neural networks.mp4 65.7 MB
62. LLM Engineering Module Introduction/3. The Interview Tool’s Specifics.mp4 65.6 MB
33. LLMs Module Question and Answer Models With BERT/1. GPT vs BERT.mp4 65.3 MB
57. Speech Recognition Module Setting Up the Environment/3. Installing packages for speech recognition.mp4 65.0 MB
35. LangChain Module Introduction/3. Business applications of LangChain.mp4 64.3 MB
75. AI Ethics Module ChatGPT Ethics/6. ChatGPT and the environment.mp4 64.2 MB
67. LLM Engineering Module Solving Real-World AI Challenges/3. Prompt Structure of HR Interviews.mp4 64.1 MB
49. Vector Databases Module Basics of Vector Space and High-Dimensional Data/2. Distance metrics in vector space.mp4 64.0 MB
29. LLMs Module Introduction to Large Language Models/3. What are LLMs.mp4 63.8 MB
07. Intro to AI Module The AI tech stack/7. AI evaluation tools.mp4 63.6 MB
52. Speech Recognition Module Introduction/3. Course Approach.mp4 63.2 MB
39. LangChain Module Model Inputs/1. The LangChain framework.mp4 63.1 MB
75. AI Ethics Module ChatGPT Ethics/2. Privacy concerns with ChatGPT.mp4 62.5 MB
55. Speech Recognition Module Audio Feature Extraction for AI Applications/4. Frequency-domain feature extraction Fourier transform.mp4 61.9 MB
07. Intro to AI Module The AI tech stack/3. Vector databases.mp4 61.6 MB
30. LLMs Module The Transformer Architecture/5. Input embeddings.mp4 61.1 MB
32. LLMs Module Hugging Face Transformers/4. Special tokens.mp4 61.1 MB
71. AI Ethics Module Ethical AI Development/1. Ethical challenges in working with labeled data.mp4 61.1 MB
06. Intro to AI Module Practical challenges in Generative AI/2. Budgeting and API costs.mp4 61.0 MB
29. LLMs Module Introduction to Large Language Models/4. How large is an LLM.mp4 60.8 MB
68. AI Ethics Module Introduction to AI and Data Ethics/4. Ethics vs laws.mp4 60.7 MB
35. LangChain Module Introduction/1. Introduction to the course.mp4 60.7 MB
58. Speech Recognition Module Transcribing Audio with Google Web Speech API/3. The SpeechRecognition library Google Web Speech API.mp4 60.6 MB
21. NLP Module Text Preprocessing/10. Practical task.mp4 60.6 MB
64. LLM Engineering Module Crafting and Testing AI Prompts/4. Prompt Engineering for Software Development.mp4 60.4 MB
05. Intro to AI Module Understanding Generative AI/3. Recent NLP advancements.mp4 60.3 MB
35. LangChain Module Introduction/5. What does the course cover.mp4 60.3 MB
42. LangChain Module Retrieval Augmented Generation (RAG)/6. Indexing Document loading with PyPDFLoader.mp4 59.7 MB
42. LangChain Module Retrieval Augmented Generation (RAG)/4. Introduction to document embedding.mp4 59.7 MB
31. LLMs Module Getting Started With GPT Models/9. LangChain.mp4 59.7 MB
48. Vector Databases Module Introduction/3. Database comparison SQL, NoSQL, and Vector.mp4 59.7 MB
07. Intro to AI Module The AI tech stack/6. LangChain.mp4 58.9 MB
32. LLMs Module Hugging Face Transformers/1. Hugging Face package.mp4 57.9 MB
56. Speech Recognition Module Technology Mechanics/6. Building a speech recognition model part II.mp4 57.9 MB
30. LLMs Module The Transformer Architecture/3. The solution attention is all you need.mp4 57.7 MB
65. LLM Engineering Module Getting to Know Streamlit/1. Setting up environment.mp4 57.6 MB
05. Intro to AI Module Understanding Generative AI/9. The importance of foundation models.mp4 57.6 MB
59. Speech Recognition Module Background Noise and Spectrograms/2. Creating a spectrogram with Python.mp4 57.2 MB
25. NLP Module Topic Modelling/1. What is topic modelling.mp4 56.9 MB
06. Intro to AI Module Practical challenges in Generative AI/1. Inconsistency and hallucination.mp4 56.7 MB
32. LLMs Module Hugging Face Transformers/3. Pre-trained tokenizers.mp4 55.7 MB
30. LLMs Module The Transformer Architecture/7. Feed-forward layer.mp4 55.6 MB
74. AI Ethics Module Ethical AI for End-Users Individuals/1. Equity in access to AI technology.mp4 55.5 MB
27. NLP Module Categorizing Fake News (Case Study)/5. Processing the text.mp4 55.1 MB
01. Intro to AI Module Getting started/6. Weak vs Strong AI.mp4 54.7 MB
20. NLP Module Introduction/1. Introduction to the course.mp4 54.5 MB
69. AI Ethics Module The Core Principles of AI Ethics/1. Privacy.mp4 54.3 MB
66. LLM Engineering Module Developing the prototype/7. Implementing Feedback Functionality Part 2.mp4 54.1 MB
31. LLMs Module Getting Started With GPT Models/2. The development of ChatGPT.mp4 53.6 MB
55. Speech Recognition Module Audio Feature Extraction for AI Applications/3. Time-domain feature extraction Framing and feature computation.mp4 53.4 MB
05. Intro to AI Module Understanding Generative AI/10. Buy vs Make foundation models vs private models.mp4 53.3 MB
30. LLMs Module The Transformer Architecture/1. Deep learning recap.mp4 53.1 MB
56. Speech Recognition Module Technology Mechanics/5. Building a speech recognition model part I.mp4 52.9 MB
49. Vector Databases Module Basics of Vector Space and High-Dimensional Data/1. Introduction to vector space.mp4 52.7 MB
28. NLP Module The Future of NLP/1. What is deep learning.mp4 52.5 MB
56. Speech Recognition Module Technology Mechanics/4. Advanced speech recognition systems Transformers.mp4 52.5 MB
71. AI Ethics Module Ethical AI Development/4. Ethical considerations for supervised Fine-tuning.mp4 52.4 MB
05. Intro to AI Module Understanding Generative AI/2. Early approaches to Natural Language Processing (NLP).mp4 52.3 MB
58. Speech Recognition Module Transcribing Audio with Google Web Speech API/2. Importing audio files in Jupyter Notebook.mp4 52.0 MB
63. LLM Engineering Module Planning stage/3. Tokens.mp4 52.0 MB
66. LLM Engineering Module Developing the prototype/3. Building the Setup Page.mp4 51.9 MB
29. LLMs Module Introduction to Large Language Models/6. Pre-training and fine tuning.mp4 51.5 MB
35. LangChain Module Introduction/4. What makes LangChain powerful.mp4 51.3 MB
54. Speech Recognition Module Analog to Digital Conversion/1. Key concepts Sample Rate, bit depth, and bit rate.mp4 51.3 MB
72. AI Ethics Module Ethical AI Deployment/4. Inconsistency.mp4 51.0 MB
72. AI Ethics Module Ethical AI Deployment/1. Intellectual property and user consent in AI interactions.mp4 50.8 MB
53. Speech Recognition Module Sound and Speech Basics/3. Fundamentals of sound and sound waves.mp4 50.8 MB
58. Speech Recognition Module Transcribing Audio with Google Web Speech API/5. Calculating WER and CER in Python.mp4 50.8 MB
72. AI Ethics Module Ethical AI Deployment/5. Hallucination.mp4 50.7 MB
63. LLM Engineering Module Planning stage/9. Creating an Activity Diagram.mp4 50.7 MB
19. Python Module A Few Important Python Concepts and Terms/6. The Python Documentation.mp4 50.4 MB
48. Vector Databases Module Introduction/4. Understanding vector databases.mp4 50.4 MB
69. AI Ethics Module The Core Principles of AI Ethics/3. Accountability.mp4 50.4 MB
71. AI Ethics Module Ethical AI Development/6. Inclusive and fair AI development practices.mp4 50.3 MB
06. Intro to AI Module Practical challenges in Generative AI/4. Running out of data.mp4 50.1 MB
63. LLM Engineering Module Planning stage/6. Initial Prompt Development Part 2.mp4 49.8 MB
33. LLMs Module Question and Answer Models With BERT/7. BERT, RoBERTa, DistilBERT.mp4 49.6 MB
29. LLMs Module Introduction to Large Language Models/1. Introduction to the course.mp4 49.4 MB
52. Speech Recognition Module Introduction/4. How it all started Formants, harmonics, and phonemes.mp4 49.2 MB
51. Vector Databases Module Semantic Search with Pinecone and Custom (Case Study)/17. Vector database for semantic image search.mp4 49.1 MB
18. Python Module Iteration/18. Using the Anaconda Assistant Several Python Tools.mp4 49.0 MB
66. LLM Engineering Module Developing the prototype/4. Enhancing Chatbot Interaction with Session State.mp4 49.0 MB
45. LangGraph Module Graph Components and Implementation/1. States, nodes, and edges.mp4 48.8 MB
73. AI Ethics Module Ethical AI for End-Users Businesses/4. Responsible AI adoption and risk management for businesses.mp4 48.5 MB
39. LangChain Module Model Inputs/7. Few-shot chat message prompt templates.mp4 48.3 MB
63. LLM Engineering Module Planning stage/5. Initial Prompt Development Part 1.mp4 48.2 MB
51. Vector Databases Module Semantic Search with Pinecone and Custom (Case Study)/2. Introduction to the case study – smart search for data science courses.mp4 48.2 MB
37. LangChain Module Setting Up the Environment/3. Setting the API key as an environment variable.mp4 48.1 MB
01. Intro to AI Module Getting started/5. Demystifying AI, Data science, Machine learning, and Deep learning.mp4 47.9 MB
73. AI Ethics Module Ethical AI for End-Users Businesses/3. Ethical use of AI outputs in business.mp4 47.0 MB
42. LangChain Module Retrieval Augmented Generation (RAG)/14. Retrieval Similarity search.mp4 46.9 MB
72. AI Ethics Module Ethical AI Deployment/3. Common issues in foundation models Open-source data.mp4 46.6 MB
61. Speech Recognition Module Final Discussion and Future Directions/3. The future of speech recognition with AI.mp4 46.6 MB
42. LangChain Module Retrieval Augmented Generation (RAG)/1. How to integrate custom data into an LLM.mp4 46.3 MB
56. Speech Recognition Module Technology Mechanics/1. Acoustic and language modeling.mp4 45.9 MB
10. Python Module Why Python/2. Why Python.mp4 45.9 MB
67. LLM Engineering Module Solving Real-World AI Challenges/7. Prompt Injection.mp4 45.8 MB
31. LLMs Module Getting Started With GPT Models/6. Key word text summarization.mp4 45.7 MB
36. LangChain Module Tokens, Models, and Prices/1. Tokens.mp4 45.6 MB
42. LangChain Module Retrieval Augmented Generation (RAG)/3. Introduction to document loading and splitting.mp4 45.3 MB
36. LangChain Module Tokens, Models, and Prices/2. Models and Prices.mp4 45.2 MB
12. Python Module Python Variables and Data Types/2. Python Coding Exercises.mp4 45.2 MB
51. Vector Databases Module Semantic Search with Pinecone and Custom (Case Study)/13. Similarity search and querying courses and sections data.mp4 45.2 MB
51. Vector Databases Module Semantic Search with Pinecone and Custom (Case Study)/16. Vector database for recommendation engines.mp4 45.1 MB
76. AI Ethics Module Data and AI Regulatory Frameworks/5. Africa's push for AI governance.mp4 45.0 MB
01. Intro to AI Module Getting started/1. Building an AI tool in 5 minutes A quick demo.mp4 45.0 MB
62. LLM Engineering Module Introduction/1. Introduction to the Course.mp4 44.9 MB
42. LangChain Module Retrieval Augmented Generation (RAG)/10. Indexing Document splitting with Markdown header text splitter.mp4 44.8 MB
41. LangChain Module LangChain Expression Language (LCEL)/8. Piping a RunnableParallel with other Runnables.mp4 44.7 MB
25. NLP Module Topic Modelling/3. Latent Dirichlet Allocation (LDA).mp4 44.7 MB
71. AI Ethics Module Ethical AI Development/2. Ethical considerations for unlabeled data.mp4 44.6 MB
74. AI Ethics Module Ethical AI for End-Users Individuals/2. Ethical considerations in human-AI collaboration.mp4 44.5 MB
02. Intro to AI Module Data is essential for building AI/3. Labelled and unlabelled data.mp4 44.5 MB
32. LLMs Module Hugging Face Transformers/2. The transformer pipeline.mp4 44.5 MB
31. LLMs Module Getting Started With GPT Models/7. Coding a simple chatbot.mp4 44.4 MB
05. Intro to AI Module Understanding Generative AI/1. The rise of Gen AI Introducing ChatGPT.mp4 44.3 MB
10. Python Module Why Python/1. Programming Explained in a Few Minutes.mp4 44.3 MB
72. AI Ethics Module Ethical AI Deployment/2. Ethical responsibilities of foundation model developers.mp4 44.1 MB
71. AI Ethics Module Ethical AI Development/3. Ethical challenges in unsupervised training.mp4 44.0 MB
51. Vector Databases Module Semantic Search with Pinecone and Custom (Case Study)/15. Using the BERT embedding algorithm.mp4 43.9 MB
74. AI Ethics Module Ethical AI for End-Users Individuals/3. Responsible use of AI-generated outputs.mp4 43.9 MB
63. LLM Engineering Module Planning stage/1. Hosting an LLM vs Using an API.mp4 43.8 MB
07. Intro to AI Module The AI tech stack/1. Python programming.mp4 43.8 MB
01. Intro to AI Module Getting started/3. Natural vs Artificial Intelligence.mp4 43.8 MB
42. LangChain Module Retrieval Augmented Generation (RAG)/5. Introduction to document storing, retrieval, and generation.mp4 43.8 MB
52. Speech Recognition Module Introduction/5. Development and Evolution.mp4 43.1 MB
19. Python Module A Few Important Python Concepts and Terms/5. What is Software Documentation.mp4 42.9 MB
42. LangChain Module Retrieval Augmented Generation (RAG)/2. Introduction to RAG.mp4 42.8 MB
41. LangChain Module LangChain Expression Language (LCEL)/5. Piping chains and the RunnablePassthrough class.mp4 42.8 MB
19. Python Module A Few Important Python Concepts and Terms/2. Modules, Packages, and the Python Standard Library.mp4 42.7 MB
42. LangChain Module Retrieval Augmented Generation (RAG)/11. Indexing Text embedding with OpenAI.mp4 42.4 MB
63. LLM Engineering Module Planning stage/8. What Is an Activity Diagram.mp4 42.2 MB
39. LangChain Module Model Inputs/6. Chat prompt templates and chat prompt values.mp4 42.1 MB
70. AI Ethics Module Ethical Data Collection/2. Proprietary data.mp4 42.1 MB
63. LLM Engineering Module Planning stage/4. Pricing Hosting an LLM vs Pay-by-Token.mp4 41.9 MB
39. LangChain Module Model Inputs/2. ChatOpenAI.mp4 41.7 MB
50. Vector Databases Module Introduction to The Pinecone Vector Database/8. Upserting data from a text file and using an embedding algorithm.mp4 41.4 MB
51. Vector Databases Module Semantic Search with Pinecone and Custom (Case Study)/9. How to update and change your vector database.mp4 41.4 MB
11. Python Module Setting Up the Environment/6. Jupyter - Handling Error Messages.mp4 41.2 MB
53. Speech Recognition Module Sound and Speech Basics/1. How do humans recognize speech.mp4 41.1 MB
42. LangChain Module Retrieval Augmented Generation (RAG)/18. Generation Generating a response.mp4 41.0 MB
67. LLM Engineering Module Solving Real-World AI Challenges/2. Application Structure.mp4 40.7 MB
21. NLP Module Text Preprocessing/4. Regular expressions.mp4 40.6 MB
60. Speech Recognition Module Transcribing Audio with OpenAI's Whisper/4. Saving audio transcriptions to CSV for easy analysis.mp4 40.5 MB
69. AI Ethics Module The Core Principles of AI Ethics/2. Transparency.mp4 40.1 MB
41. LangChain Module LangChain Expression Language (LCEL)/4. The Runnable and RunnableSequence classes.mp4 39.9 MB
61. Speech Recognition Module Final Discussion and Future Directions/2. Challenges and limitations.mp4 39.4 MB
59. Speech Recognition Module Background Noise and Spectrograms/1. Understanding noise in audio files.mp4 39.3 MB
47. LangGraph Module Thread-Level Persistence/2. Short-term memory with the InMemorySaver class.mp4 39.2 MB
28. NLP Module The Future of NLP/2. Deep learning for NLP.mp4 39.2 MB
66. LLM Engineering Module Developing the prototype/8. Uploading Your Project in GitHub.mp4 39.0 MB
33. LLMs Module Question and Answer Models With BERT/5. Calculating the response.mp4 39.0 MB
76. AI Ethics Module Data and AI Regulatory Frameworks/4. Asia-Pacific region Strong government control.mp4 38.9 MB
28. NLP Module The Future of NLP/3. Non-English NLP.mp4 38.5 MB
44. LangGraph Module Setting Up the Environment/1. Setting up the environment.mp4 38.1 MB
27. NLP Module Categorizing Fake News (Case Study)/3. Exploring our data through POS tags.mp4 38.0 MB
02. Intro to AI Module Data is essential for building AI/1. Structured vs unstructured data.mp4 37.7 MB
23. NLP Module Sentiment Analysis/5. Practical task.mp4 37.6 MB
46. LangGraph Module Message Management/5. Trimming messages.mp4 37.3 MB
46. LangGraph Module Message Management/1. The Annotated construct and reducer functions.mp4 37.2 MB
23. NLP Module Sentiment Analysis/1. What is sentiment analysis.mp4 37.1 MB
48. Vector Databases Module Introduction/1. Introduction to the course.mp4 37.0 MB
60. Speech Recognition Module Transcribing Audio with OpenAI's Whisper/3. Transcribing multiple audio files from a directory.mp4 36.7 MB
46. LangGraph Module Message Management/3. The MessagesState class.mp4 36.4 MB
41. LangChain Module LangChain Expression Language (LCEL)/7. RunnableParallel.mp4 36.3 MB
38. LangChain Module The OpenAI API/2. System, user, and assistant roles.mp4 36.2 MB
30. LLMs Module The Transformer Architecture/9. Predicting the final outputs.mp4 36.1 MB
07. Intro to AI Module The AI tech stack/5. Hugging Face.mp4 36.1 MB
41. LangChain Module LangChain Expression Language (LCEL)/1. Piping a prompt, model, and an output parser.mp4 36.0 MB
51. Vector Databases Module Semantic Search with Pinecone and Custom (Case Study)/6. Embedding Algorithms.mp4 35.7 MB
63. LLM Engineering Module Planning stage/7. Database Design and Schema Development.mp4 35.6 MB
70. AI Ethics Module Ethical Data Collection/4. Web-scraped data.mp4 35.5 MB
65. LLM Engineering Module Getting to Know Streamlit/6. Sessin State.mp4 35.4 MB
02. Intro to AI Module Data is essential for building AI/4. Metadata Data that describes data.mp4 35.4 MB
39. LangChain Module Model Inputs/3. System and human messages.mp4 35.4 MB
43. LangGraph Module Introduction/2. What does the course cover.mp4 35.1 MB
47. LangGraph Module Thread-Level Persistence/3. The StateSnapshot class.mp4 34.6 MB
27. NLP Module Categorizing Fake News (Case Study)/8. What topics appear in fake news (Part 2).mp4 34.5 MB
11. Python Module Setting Up the Environment/5. Jupyter - Using Shortcuts.mp4 34.2 MB
41. LangChain Module LangChain Expression Language (LCEL)/2. Batching.mp4 34.0 MB
46. LangGraph Module Message Management/2. Reducer functions in action.mp4 34.0 MB
76. AI Ethics Module Data and AI Regulatory Frameworks/3. United States AI regulation across states.mp4 34.0 MB
25. NLP Module Topic Modelling/5. LDA in Python.mp4 34.0 MB
66. LLM Engineering Module Developing the prototype/6. Implementing Feedback Functionality Part 1.mp4 33.9 MB
21. NLP Module Text Preprocessing/1. The importance of data preparation.mp4 33.8 MB
58. Speech Recognition Module Transcribing Audio with Google Web Speech API/4. Evaluation metrics WER and CER.mp4 33.8 MB
51. Vector Databases Module Semantic Search with Pinecone and Custom (Case Study)/18. Vector database for biomedical research.mp4 33.6 MB
39. LangChain Module Model Inputs/4. AI messages.mp4 33.6 MB
42. LangChain Module Retrieval Augmented Generation (RAG)/12. Indexing Creating a Chroma vectorstore.mp4 33.4 MB
42. LangChain Module Retrieval Augmented Generation (RAG)/9. Indexing Document splitting with character text splitter (Code along).mp4 33.4 MB
51. Vector Databases Module Semantic Search with Pinecone and Custom (Case Study)/8. Similarity search and querying the data.mp4 33.3 MB
24. NLP Module Vectorizing Text/1. Numerical representation of text.mp4 33.3 MB
25. NLP Module Topic Modelling/6. Latent Semantic Analysis (LSA).mp4 33.0 MB
72. AI Ethics Module Ethical AI Deployment/6. Ongoing monitoring and risk mitigation for deployed AI.mp4 32.9 MB
47. LangGraph Module Thread-Level Persistence/4. Long-term memory with SQLite.mp4 32.8 MB
70. AI Ethics Module Ethical Data Collection/6. Data bias and fair representation.mp4 32.7 MB
20. NLP Module Introduction/3. Introduction to NLP.mp4 32.6 MB
07. Intro to AI Module The AI tech stack/2. Working with APIs.mp4 32.5 MB
71. AI Ethics Module Ethical AI Development/5. RLHF and ethical AI behavior.mp4 32.4 MB
11. Python Module Setting Up the Environment/1. Jupyter - Introduction.mp4 32.3 MB
67. LLM Engineering Module Solving Real-World AI Challenges/10. Scaling.mp4 32.3 MB
51. Vector Databases Module Semantic Search with Pinecone and Custom (Case Study)/3. Getting to know the data for the case study.mp4 32.2 MB
66. LLM Engineering Module Developing the prototype/2. Implementing the Chat Functionality.mp4 32.2 MB
49. Vector Databases Module Basics of Vector Space and High-Dimensional Data/3. Vector embeddings walkthrough.mp4 32.1 MB
51. Vector Databases Module Semantic Search with Pinecone and Custom (Case Study)/1. Introduction to semantic search.mp4 31.4 MB
25. NLP Module Topic Modelling/2. When to use topic modelling.mp4 31.3 MB
65. LLM Engineering Module Getting to Know Streamlit/2. Streamlit's Pros and Cons.mp4 31.2 MB
26. NLP Module Building Your Own Text Classifier/2. Logistic regression.mp4 31.1 MB
31. LLMs Module Getting Started With GPT Models/1. What does GPT mean.mp4 30.9 MB
27. NLP Module Categorizing Fake News (Case Study)/9. Categorizing fake news with a custom classifier.mp4 30.8 MB
45. LangGraph Module Graph Components and Implementation/5. Conditional edges Defining nodes and a routing function.mp4 30.5 MB
28. NLP Module The Future of NLP/4. What's next for NLP.mp4 29.7 MB
30. LLMs Module The Transformer Architecture/8. Masked multihead attention.mp4 29.7 MB
45. LangGraph Module Graph Components and Implementation/6. Conditional edges Building the graph.mp4 29.7 MB
33. LLMs Module Question and Answer Models With BERT/4. BERT embeddings.mp4 29.7 MB
06. Intro to AI Module Practical challenges in Generative AI/3. Latency.mp4 29.6 MB
45. LangGraph Module Graph Components and Implementation/4. First graph Building the graph.mp4 29.1 MB
34. LLMs Module Text Classification With XLNet/4. XLNet Embeddings.mp4 28.9 MB
23. NLP Module Sentiment Analysis/2. Rule-based sentiment analysis.mp4 28.8 MB
42. LangChain Module Retrieval Augmented Generation (RAG)/17. Generation Stuffing documents.mp4 28.5 MB
19. Python Module A Few Important Python Concepts and Terms/1. Introduction to Object Oriented Programming (OOP).mp4 28.2 MB
38. LangChain Module The OpenAI API/1. First Steps.mp4 28.1 MB
66. LLM Engineering Module Developing the prototype/9. Deploying Your Streamlit App.mp4 28.0 MB
41. LangChain Module LangChain Expression Language (LCEL)/3. Streaming.mp4 28.0 MB
42. LangChain Module Retrieval Augmented Generation (RAG)/13. Indexing Inspecting and managing documents in a vectorstore.mp4 28.0 MB
47. LangGraph Module Thread-Level Persistence/1. Checkpointers and threads.mp4 27.8 MB
22. NLP Module Identifying Parts of Speech and Named Entities/3. Named Entity Recognition (NER).mp4 27.7 MB
51. Vector Databases Module Semantic Search with Pinecone and Custom (Case Study)/5. Pinecone Python APIs and connecting to the Pinecone server.mp4 27.1 MB
23. NLP Module Sentiment Analysis/3. Pre-trained transformer models.mp4 26.9 MB
50. Vector Databases Module Introduction to The Pinecone Vector Database/6. Upserting data to a pinecone vector database.mp4 26.8 MB
39. LangChain Module Model Inputs/5. Prompt templates and prompt values.mp4 26.8 MB
04. Intro to AI Module Important AI branches/3. Traditional ML.mp4 26.8 MB
76. AI Ethics Module Data and AI Regulatory Frameworks/1. Global AI and data regulations.mp4 26.4 MB
20. NLP Module Introduction/5. Supervised vs unsupervised NLP.mp4 26.3 MB
60. Speech Recognition Module Transcribing Audio with OpenAI's Whisper/5. Reversing the process AI-powered text-to-speech.mp4 26.2 MB
12. Python Module Python Variables and Data Types/23. Using the Anaconda Assistant Strings.mp4 25.9 MB
70. AI Ethics Module Ethical Data Collection/5. Dealing with sensitive and protected information.mp4 25.7 MB
42. LangChain Module Retrieval Augmented Generation (RAG)/16. Retrieval Vectorstore-backed retriever.mp4 25.6 MB
31. LLMs Module Getting Started With GPT Models/5. Customizing GPT output.mp4 25.3 MB
34. LLMs Module Text Classification With XLNet/5. Fine tuning XLNet.mp4 25.3 MB
70. AI Ethics Module Ethical Data Collection/3. Public data.mp4 25.2 MB
15. Python Module Conditional Statements/7. Conditional Statements - The ELIF Statement.mp4 25.1 MB
27. NLP Module Categorizing Fake News (Case Study)/7. What topics appear in fake news (Part 1).mp4 25.0 MB
57. Speech Recognition Module Setting Up the Environment/2. Setting up a new environment.mp4 24.9 MB
32. LLMs Module Hugging Face Transformers/5. Hugging Face and PyTorchTensorFlow.mp4 24.9 MB
11. Python Module Setting Up the Environment/2. Jupyter - Installing Anaconda.mp4 24.8 MB
43. LangGraph Module Introduction/1. Welcome to the course!.mp4 24.7 MB
22. NLP Module Identifying Parts of Speech and Named Entities/2. Parts of Speech (POS) tagging.mp4 24.6 MB
51. Vector Databases Module Semantic Search with Pinecone and Custom (Case Study)/10. Data preprocessing and embedding for courses with section data.mp4 24.5 MB
67. LLM Engineering Module Solving Real-World AI Challenges/5. Additional Protection From Errors.mp4 24.5 MB
31. LLMs Module Getting Started With GPT Models/10. Adding custom data to our chatbot.mp4 24.4 MB
25. NLP Module Topic Modelling/8. How many topics.mp4 24.4 MB
42. LangChain Module Retrieval Augmented Generation (RAG)/8. Indexing Document splitting with character text splitter (Theory).mp4 24.3 MB
50. Vector Databases Module Introduction to The Pinecone Vector Database/2. Pinecone registration, walkthrough and creating an Index.mp4 24.2 MB
29. LLMs Module Introduction to Large Language Models/5. General purpose models.mp4 24.2 MB
12. Python Module Python Variables and Data Types/15. Types of Data - Strings.mp4 24.1 MB
14. Python Module More on Operators/7. Operators - Logical and Identity Operators.mp4 24.1 MB
43. LangGraph Module Introduction/3. Course prerequisites.mp4 24.1 MB
17. Python Module Sequences/14. Sequences - List Slicing.mp4 24.0 MB
67. LLM Engineering Module Solving Real-World AI Challenges/8. Counting Tokens.mp4 23.9 MB
65. LLM Engineering Module Getting to Know Streamlit/4. Streamlit Elements Text Methods.mp4 23.8 MB
62. LLM Engineering Module Introduction/2. What does the course cover.mp4 23.4 MB
21. NLP Module Text Preprocessing/3. Removing stop words.mp4 23.4 MB
45. LangGraph Module Graph Components and Implementation/3. First graph Defining a state and a node.mp4 23.3 MB
66. LLM Engineering Module Developing the prototype/5. Refining Our Project.mp4 23.2 MB
46. LangGraph Module Message Management/4. The RemoveMessages class.mp4 23.1 MB
22. NLP Module Identifying Parts of Speech and Named Entities/1. Text tagging.mp4 23.0 MB
51. Vector Databases Module Semantic Search with Pinecone and Custom (Case Study)/4. Data loading and preprocessing.mp4 22.8 MB
66. LLM Engineering Module Developing the prototype/1. Initializing an OpenAI Client.mp4 22.4 MB
11. Python Module Setting Up the Environment/3. Jupyter - Introduction to Using Jupyter.mp4 22.3 MB
64. LLM Engineering Module Crafting and Testing AI Prompts/5. How to Test Out a Prompt Template.mp4 22.3 MB
41. LangChain Module LangChain Expression Language (LCEL)/9. RunnableLambda.mp4 22.3 MB
24. NLP Module Vectorizing Text/3. TF-IDF.mp4 22.2 MB
50. Vector Databases Module Introduction to The Pinecone Vector Database/7. Getting to know the fine web data set and loading it to Jupyter.mp4 22.0 MB
30. LLMs Module The Transformer Architecture/4. The transformer architecture.mp4 21.8 MB
65. LLM Engineering Module Getting to Know Streamlit/5. Streamlit Elements Chat Elements.mp4 21.6 MB
21. NLP Module Text Preprocessing/8. N-grams.mp4 21.0 MB
40. LangChain Module Output Parsers/3. Datetime output parser.mp4 20.7 MB
01. Intro to AI Module Getting started/2. What does the course cover.mp4 20.7 MB
34. LLMs Module Text Classification With XLNet/6. Evaluating our model.mp4 20.5 MB
41. LangChain Module LangChain Expression Language (LCEL)/10. The @chain decorator.mp4 20.4 MB
51. Vector Databases Module Semantic Search with Pinecone and Custom (Case Study)/7. Embedding the data and upserting the files to Pinecone.mp4 20.4 MB
27. NLP Module Categorizing Fake News (Case Study)/6. Does sentiment differ between news types.mp4 20.4 MB
63. LLM Engineering Module Planning stage/10. Concluding the Planning Stage.mp4 20.0 MB
50. Vector Databases Module Introduction to The Pinecone Vector Database/5. Creating and deleting a Pinecone index using Python.mp4 19.6 MB
18. Python Module Iteration/22. Using the Anaconda Assistant Dictionaries.mp4 19.3 MB
67. LLM Engineering Module Solving Real-World AI Challenges/1. Introduction.mp4 19.3 MB
17. Python Module Sequences/27. Sequences - Dictionaries.mp4 19.2 MB
27. NLP Module Categorizing Fake News (Case Study)/4. Extracting named entities.mp4 19.1 MB
20. NLP Module Introduction/4. NLP in everyday life.mp4 18.9 MB
26. NLP Module Building Your Own Text Classifier/1. Building a custom text classifier.mp4 18.8 MB
40. LangChain Module Output Parsers/2. Comma-separated list output parser.mp4 18.4 MB
38. LangChain Module The OpenAI API/3. Creating a sarcastic chatbot.mp4 18.3 MB
27. NLP Module Categorizing Fake News (Case Study)/2. Introducing the project.mp4 18.2 MB
31. LLMs Module Getting Started With GPT Models/8. Introduction to LangChain in Python.mp4 18.1 MB
16. Python Module Functions/2. Functions - Creating a Function with a Parameter.mp4 18.1 MB
31. LLMs Module Getting Started With GPT Models/3. OpenAI API.mp4 18.0 MB
45. LangGraph Module Graph Components and Implementation/2. First graph Importing relevant classes.mp4 17.9 MB
16. Python Module Functions/12. Functions - Notable Built-in Functions in Python.mp4 17.8 MB
42. LangChain Module Retrieval Augmented Generation (RAG)/7. Indexing Document loading with Docx2txtLoader.mp4 17.7 MB
17. Python Module Sequences/1. Sequences - Lists.mp4 17.6 MB
17. Python Module Sequences/8. Sequences - Using Methods.mp4 17.3 MB
11. Python Module Setting Up the Environment/4. Jupyter - Working with Notebook Files.mp4 17.3 MB
57. Speech Recognition Module Setting Up the Environment/1. Installing Anaconda.mp4 16.9 MB
12. Python Module Python Variables and Data Types/22. Anaconda AI - Introduction.mp4 16.9 MB
37. LangChain Module Setting Up the Environment/1. Setting up a custom anaconda environment for Jupyter integration.mp4 15.7 MB
51. Vector Databases Module Semantic Search with Pinecone and Custom (Case Study)/12. Upserting the new updated files to Pinecone.mp4 15.5 MB
13. Python Module Basic Python Syntax/1. Basic Python Syntax - Arithmetic Operators.mp4 15.4 MB
57. Speech Recognition Module Setting Up the Environment/4. Importing the relevant packages in Jupyter.mp4 15.0 MB
67. LLM Engineering Module Solving Real-World AI Challenges/11. Conclusion.mp4 15.0 MB
18. Python Module Iteration/7. Iteration - Creatie Lists with the range() Function.mp4 14.7 MB
25. NLP Module Topic Modelling/7. LSA in Python.mp4 14.5 MB
50. Vector Databases Module Introduction to The Pinecone Vector Database/3. Connecting to Pinecone using Python.mp4 14.2 MB
65. LLM Engineering Module Getting to Know Streamlit/3. Streamlit Elements Titles, Headers, and Formatting.mp4 14.2 MB
12. Python Module Python Variables and Data Types/1. Python Variables.mp4 14.1 MB
37. LangChain Module Setting Up the Environment/2. Obtaining an OpenAI API key.mp4 14.0 MB
12. Python Module Python Variables and Data Types/8. Types of Data - Numbers and Boolean Values.mp4 13.7 MB
17. Python Module Sequences/22. Sequences - Tuples.mp4 13.5 MB
18. Python Module Iteration/19. Iteration - Iterating over Dictionaries.mp4 13.4 MB
26. NLP Module Building Your Own Text Classifier/4. Linear support vector machine.mp4 13.3 MB
24. NLP Module Vectorizing Text/2. Bag of Words model.mp4 13.3 MB
21. NLP Module Text Preprocessing/7. Lemmatization.mp4 13.2 MB
19. Python Module A Few Important Python Concepts and Terms/3. Importing Modules.mp4 13.2 MB
16. Python Module Functions/9. Functions - Combining Conditional Statements and Functions.mp4 13.1 MB
18. Python Module Iteration/5. Iteration - While Loops and Incrementing.mp4 13.0 MB
18. Python Module Iteration/12. Iteraion - Use Conditional Statements and Loops Together.mp4 12.6 MB
40. LangChain Module Output Parsers/1. String output parser.mp4 12.3 MB
21. NLP Module Text Preprocessing/5. Tokenization.mp4 12.0 MB
41. LangChain Module LangChain Expression Language (LCEL)/6. Graphing Runnables.mp4 11.7 MB
18. Python Module Iteration/1. Iteration - For Loops.mp4 11.6 MB
31. LLMs Module Getting Started With GPT Models/4. Generating text.mp4 11.2 MB
16. Python Module Functions/5. Functions - Another Way to Define a Function.mp4 11.1 MB
15. Python Module Conditional Statements/5. Conditional Statements - The ELSE Statement.mp4 10.8 MB
15. Python Module Conditional Statements/1. Conditional Statements - The IF Statement.mp4 10.8 MB
32. LLMs Module Hugging Face Transformers/6. Saving and loading models.mp4 10.0 MB
26. NLP Module Building Your Own Text Classifier/3. Naive Bayes.mp4 9.9 MB
15. Python Module Conditional Statements/10. Conditional Statements - A Note on Boolean Values.mp4 8.9 MB
21. NLP Module Text Preprocessing/6. Stemming.mp4 8.4 MB
11. Python Module Setting Up the Environment/7. Jupyter - Restarting the Kernel.mp4 8.3 MB
14. Python Module More on Operators/1. Operators - Comparison Operators.mp4 8.2 MB
18. Python Module Iteration/16. Iteration - Conditional Statements, Functions, and Loops.mp4 8.1 MB
21. NLP Module Text Preprocessing/2. Lowercase.mp4 8.0 MB
33. LLMs Module Question and Answer Models With BERT/3. Loading the model and tokenizer.mp4 7.3 MB
52. Speech Recognition Module Introduction/2. Downloads.rar 6.6 MB
16. Python Module Functions/7. Functions - Using a Function in Another Function.mp4 6.5 MB
16. Python Module Functions/1. Functions - Defining a Function in Python.mp4 6.3 MB
16. Python Module Functions/11. Functions - Creating Functions Containing a Few Arguments.mp4 6.0 MB
13. Python Module Basic Python Syntax/28. Basic Python Syntax - Indentation.mp4 5.5 MB
13. Python Module Basic Python Syntax/11. Basic Python Syntax - The Double Equality Sign.mp4 5.0 MB
13. Python Module Basic Python Syntax/24. Basic Python Syntax - Indexing Elements.mp4 4.9 MB
13. Python Module Basic Python Syntax/20. Basic Python Syntax - Add Comments.mp4 4.7 MB
60. Speech Recognition Module Transcribing Audio with OpenAI's Whisper/3. Recordings.rar 4.2 MB
13. Python Module Basic Python Syntax/14. Basic Python Syntax - Reassign Values.mp4 3.3 MB
18. Python Module Iteration/18. Prompts for Python Coding.pdf 3.3 MB
58. Speech Recognition Module Transcribing Audio with Google Web Speech API/2. speech_01.wav 3.0 MB
13. Python Module Basic Python Syntax/22. Basic Python Syntax - Line Continuation.mp4 2.1 MB
68. AI Ethics Module Introduction to AI and Data Ethics/2. AI Lifecycle Infographic.pdf 1.4 MB
51. Vector Databases Module Semantic Search with Pinecone and Custom (Case Study)/10. course_section_descriptions.csv 1.2 MB
68. AI Ethics Module Introduction to AI and Data Ethics/2. AI Ethics - Course Notes.pdf 701.5 KB
25. NLP Module Topic Modelling/5. news_articles.csv 657.3 KB
27. NLP Module Categorizing Fake News (Case Study)/2. fake_news_data.csv 465.4 KB
01. Intro to AI Module Getting started/1. Intro to AI - Course notes.pdf 406.0 KB
01. Intro to AI Module Getting started/2. Intro to AI - Course notes.pdf 406.0 KB
01. Intro to AI Module Getting started/3. Intro to AI - Course notes.pdf 406.0 KB
34. LLMs Module Text Classification With XLNet/3. emotion-labels-train.csv 363.9 KB
22. NLP Module Identifying Parts of Speech and Named Entities/5. bbc_news.csv 333.4 KB
34. LLMs Module Text Classification With XLNet/3. emotion-labels-test.csv 316.8 KB
64. LLM Engineering Module Crafting and Testing AI Prompts/3. Model-Settings-Usecases.png 258.4 KB
51. Vector Databases Module Semantic Search with Pinecone and Custom (Case Study)/5. 4. 365 Courses Vector Store Data Preprocessing.ipynb 247.7 KB
48. Vector Databases Module Introduction/2. vector_db_module_files.zip 244.6 KB
35. LangChain Module Introduction/2. langchain_module_files.zip 205.0 KB
51. Vector Databases Module Semantic Search with Pinecone and Custom (Case Study)/3. course_descriptions.csv 127.1 KB
42. LangChain Module Retrieval Augmented Generation (RAG)/6. Introduction_to_Data_and_Data_Science.pdf 101.9 KB
57. Speech Recognition Module Setting Up the Environment/3. Setting Up Packages for Speech Recognition.pdf 99.7 KB
22. NLP Module Identifying Parts of Speech and Named Entities/2. Libraries and Code Breakdown.pdf 87.2 KB
22. NLP Module Identifying Parts of Speech and Named Entities/3. Libraries Used in the Notebook.pdf 78.0 KB
21. NLP Module Text Preprocessing/10. tripadvisor_hotel_reviews.csv 65.9 KB
64. LLM Engineering Module Crafting and Testing AI Prompts/1. 2025-04-23_14-07-55-119cf2027c66d1a49d5f78a1aa2cb862.png 60.7 KB
64. LLM Engineering Module Crafting and Testing AI Prompts/1. 2025-04-23_14-07-56-b347e333d754a83a5a3b81399e420d9c.png 59.6 KB
34. LLMs Module Text Classification With XLNet/3. emotion-labels-val.csv 35.6 KB
01. Intro to AI Module Getting started/7.1 Quiz 1.html 20.5 KB
11. Python Module Setting Up the Environment/8.5 Setting Up the Environment - Jupyter.html 19.9 KB
19. Python Module A Few Important Python Concepts and Terms/4.25 Important Python Concepts and Terms.html 19.8 KB
04. Intro to AI Module Important AI branches/5.4 Quiz 4.html 19.4 KB
17. Python Module Sequences/1. Sequences_Solutions.ipynb 19.2 KB
17. Python Module Sequences/27. Sequences_Solutions.ipynb 19.2 KB
03. Intro to AI Module Key AI techniques/4.3 Quiz 3.html 19.0 KB
02. Intro to AI Module Data is essential for building AI/5.2 Quiz 2.html 18.7 KB
42. LangChain Module Retrieval Augmented Generation (RAG)/10. Introduction_to_Data_and_Data_Science_2.docx 18.2 KB
17. Python Module Sequences/1. Sequences_Lectures.ipynb 18.0 KB
17. Python Module Sequences/27. Sequences_Lectures.ipynb 18.0 KB
42. LangChain Module Retrieval Augmented Generation (RAG)/7. Introduction_to_Data_and_Data_Science.docx 17.9 KB
12. Python Module Python Variables and Data Types/21.8 Types of Data - Strings.html 17.3 KB
14. Python Module More on Operators/14.16 Operators - Logical and Identity Operators.html 17.2 KB
14. Python Module More on Operators/6.15 Operators - Comparison Operators.html 17.1 KB
18. Python Module Iteration/11.24 Iteration - Creatie Lists with the range() Function.html 16.5 KB
13. Python Module Basic Python Syntax/19.11 Basic Python Syntax - Reassign Values.html 16.5 KB
17. Python Module Sequences/34.22 Sequences - Dictionaries.html 16.4 KB
17. Python Module Sequences/13.21 Sequences - Using Methods.html 16.4 KB
15. Python Module Conditional Statements/4.17 Conditional Statements - The IF Statement.html 16.3 KB
12. Python Module Python Variables and Data Types/7.6 Python Variables.html 16.3 KB
53. Speech Recognition Module Sound and Speech Basics/2.26 How do humanz recognize speech.html 16.3 KB
13. Python Module Basic Python Syntax/13.10 Basic Python Syntax - The Double Equality Sign.html 16.3 KB
13. Python Module Basic Python Syntax/10.9 Basic Python Syntax - Arithmetic Operators.html 16.2 KB
15. Python Module Conditional Statements/11.18 Conditional Statements - A Note on Boolean Values.html 16.2 KB
13. Python Module Basic Python Syntax/27.13 Basic Python Syntax - Indexing Elements.html 16.2 KB
18. Python Module Iteration/4.23 Iteration - For Loops.html 16.2 KB
13. Python Module Basic Python Syntax/21.12 Basic Python Syntax - Add Comments.html 16.2 KB
12. Python Module Python Variables and Data Types/14.7 Types of Data - Numbers and Boolean Values.html 16.2 KB
13. Python Module Basic Python Syntax/30.14 Basic Python Syntax - Indentation.html 16.2 KB
17. Python Module Sequences/7.20 Sequences - Lists.html 16.1 KB
16. Python Module Functions/22.19 Python Functions.html 16.0 KB
38. LangChain Module The OpenAI API/4. 04 The OpenAI API 04.ipynb 14.2 KB
51. Vector Databases Module Semantic Search with Pinecone and Custom (Case Study)/8. 4. 365 Courses Vector Store Embedding.ipynb 13.4 KB
58. Speech Recognition Module Transcribing Audio with Google Web Speech API/2. Speech Recognition with Python.ipynb 13.4 KB
60. Speech Recognition Module Transcribing Audio with OpenAI's Whisper/1. Speech Recognition with Python.ipynb 13.4 KB
12. Python Module Python Variables and Data Types/1. Python Variables and Types of Data_Lectures.ipynb 13.4 KB
12. Python Module Python Variables and Data Types/15. Python Variables and Types of Data_Lectures.ipynb 13.4 KB
51. Vector Databases Module Semantic Search with Pinecone and Custom (Case Study)/12. 4. 365 Courses and Sections Semantic Search Embedding.ipynb 13.3 KB
51. Vector Databases Module Semantic Search with Pinecone and Custom (Case Study)/13. 4. 365 Courses and Sections Semantic Search Upserting the data.ipynb 13.3 KB
51. Vector Databases Module Semantic Search with Pinecone and Custom (Case Study)/15. 4. 365 Courses and Sections Semantic Search.ipynb 13.3 KB
16. Python Module Functions/1. Functions_Lectures.ipynb 12.5 KB
16. Python Module Functions/12. Functions_Lectures.ipynb 12.5 KB
01. Intro to AI Module Getting started/1. Building an AI tool in 5 minutes A quick demo.vtt 11.6 KB
67. LLM Engineering Module Solving Real-World AI Challenges/9. Cost Reduction.vtt 11.6 KB
12. Python Module Python Variables and Data Types/1. Python Variables and Types of Data_Solutions.ipynb 11.6 KB
12. Python Module Python Variables and Data Types/15. Python Variables and Types of Data_Solutions.ipynb 11.6 KB
18. Python Module Iteration/1. Iteration_Solutions.ipynb 11.3 KB
18. Python Module Iteration/19. Iteration_Solutions.ipynb 11.3 KB
51. Vector Databases Module Semantic Search with Pinecone and Custom (Case Study)/14. Pinecone Semantic Search Course Section Weighted.ipynb 11.1 KB
51. Vector Databases Module Semantic Search with Pinecone and Custom (Case Study)/11. 4.10 Pinecone Semantic Search Course Description weighted assignment.ipynb 10.9 KB
51. Vector Databases Module Semantic Search with Pinecone and Custom (Case Study)/7. 4. 365 Courses Vector Store Creating Index.ipynb 10.9 KB
16. Python Module Functions/1. Functions_Solutions.ipynb 10.7 KB
16. Python Module Functions/12. Functions_Solutions.ipynb 10.7 KB
13. Python Module Basic Python Syntax/1. Introduction to Using Basic Python’s Syntax_Lectures.ipynb 10.7 KB
13. Python Module Basic Python Syntax/28. Introduction to Using Basic Python’s Syntax_Lectures.ipynb 10.7 KB
46. LangGraph Module Message Management/4. 04-04 The RemoveMessages Class.ipynb 10.4 KB
13. Python Module Basic Python Syntax/1. Introduction to Using Basic Python's Syntax_Solutions.ipynb 10.4 KB
13. Python Module Basic Python Syntax/28. Introduction to Using Basic Python's Syntax_Solutions.ipynb 10.4 KB
21. NLP Module Text Preprocessing/10. Practical task.vtt 10.0 KB
17. Python Module Sequences/1. Sequences_Exercises.ipynb 10.0 KB
17. Python Module Sequences/27. Sequences_Exercises.ipynb 10.0 KB
21. NLP Module Text Preprocessing/4. Regular expressions.vtt 10.0 KB
27. NLP Module Categorizing Fake News (Case Study)/3. Exploring our data through POS tags.vtt 9.9 KB
59. Speech Recognition Module Background Noise and Spectrograms/3. Dealing with background noise.vtt 9.8 KB
22. NLP Module Identifying Parts of Speech and Named Entities/5. Practical task.vtt 9.8 KB
58. Speech Recognition Module Transcribing Audio with Google Web Speech API/3. The SpeechRecognition library Google Web Speech API.vtt 9.7 KB
23. NLP Module Sentiment Analysis/5. book_reviews_sample.csv 9.4 KB
12. Python Module Python Variables and Data Types/2. Python Coding Exercises.vtt 9.2 KB
46. LangGraph Module Message Management/6. 04-06 Summarizing Messages.ipynb 9.2 KB
27. NLP Module Categorizing Fake News (Case Study)/5. Processing the text.vtt 9.1 KB
67. LLM Engineering Module Solving Real-World AI Challenges/4. Prompt Structure of Technical Interviews.vtt 9.1 KB
47. LangGraph Module Thread-Level Persistence/3. 05-03 The StateSnapshot Class.ipynb 9.0 KB
41. LangChain Module LangChain Expression Language (LCEL)/5. Piping chains and the RunnablePassthrough class.vtt 8.8 KB
60. Speech Recognition Module Transcribing Audio with OpenAI's Whisper/1. 9.1Whisper AI Transformer-based speech-to-text.vtt 8.8 KB
03. Intro to AI Module Key AI techniques/3. Deep learning.vtt 8.7 KB
67. LLM Engineering Module Solving Real-World AI Challenges/6. Hallucinations.vtt 8.7 KB
19. Python Module A Few Important Python Concepts and Terms/6. The Python Documentation.vtt 8.7 KB
47. LangGraph Module Thread-Level Persistence/4. 05-04 Long-Term Memory with SQLite.ipynb 8.6 KB
50. Vector Databases Module Introduction to The Pinecone Vector Database/1. Vector databases, comparison.vtt 8.6 KB
58. Speech Recognition Module Transcribing Audio with Google Web Speech API/2. Importing audio files in Jupyter Notebook.vtt 8.6 KB
14. Python Module More on Operators/1. More on Working with Operators_Lectures.ipynb 8.2 KB
66. LLM Engineering Module Developing the prototype/7. Implementing Feedback Functionality Part 2.vtt 8.1 KB
55. Speech Recognition Module Audio Feature Extraction for AI Applications/1. Time-domain audio features.vtt 8.1 KB
58. Speech Recognition Module Transcribing Audio with Google Web Speech API/1. Audio file formats for speech recognition.vtt 8.0 KB
64. LLM Engineering Module Crafting and Testing AI Prompts/2. The OpenAI Playground.vtt 8.0 KB
46. LangGraph Module Message Management/6. Summarizing messages.vtt 8.0 KB
11. Python Module Setting Up the Environment/6. Jupyter - Handling Error Messages.vtt 8.0 KB
11. Python Module Setting Up the Environment/5. Jupyter - Using Shortcuts.vtt 8.0 KB
56. Speech Recognition Module Technology Mechanics/2. Hidden Markov Models (HMMs) and traditional neural networks.vtt 7.9 KB
46. LangGraph Module Message Management/2. 04-02 Reducer Functions in Action.ipynb 7.9 KB
47. LangGraph Module Thread-Level Persistence/2. 05-02 Short-Term Memory with the InMemorySaver Class.ipynb 7.9 KB
59. Speech Recognition Module Background Noise and Spectrograms/2. Creating a spectrogram with Python.vtt 7.8 KB
56. Speech Recognition Module Technology Mechanics/3. Deep learning models CNNs, RNNs, and LSTMs.vtt 7.7 KB
37. LangChain Module Setting Up the Environment/3. Setting the API key as an environment variable.vtt 7.7 KB
46. LangGraph Module Message Management/3. 04-03 The MessagesState Class.ipynb 7.7 KB
66. LLM Engineering Module Developing the prototype/3. Building the Setup Page.vtt 7.7 KB
42. LangChain Module Retrieval Augmented Generation (RAG)/6. Indexing Document loading with PyPDFLoader.vtt 7.7 KB
42. LangChain Module Retrieval Augmented Generation (RAG)/15. Retrieval Maximal Marginal Relevance (MMR) search.vtt 7.6 KB
46. LangGraph Module Message Management/1. 04-01 The Annotated Construct and Reducer Functions.ipynb 7.6 KB
67. LLM Engineering Module Solving Real-World AI Challenges/3. Prompt Structure of HR Interviews.vtt 7.6 KB
32. LLMs Module Hugging Face Transformers/3. Pre-trained tokenizers.vtt 7.6 KB
46. LangGraph Module Message Management/5. 04-05 Trimming Messages.ipynb 7.6 KB
49. Vector Databases Module Basics of Vector Space and High-Dimensional Data/2. Distance metrics in vector space.vtt 7.6 KB
63. LLM Engineering Module Planning stage/2. Open-Source vs Closed-Source Models.vtt 7.6 KB
39. LangChain Module Model Inputs/2. ChatOpenAI.vtt 7.5 KB
42. LangChain Module Retrieval Augmented Generation (RAG)/4. Introduction to document embedding.vtt 7.5 KB
55. Speech Recognition Module Audio Feature Extraction for AI Applications/2. Frequency-domain and time-frequency-domain audio features.vtt 7.5 KB
66. LLM Engineering Module Developing the prototype/7. app.py 7.5 KB
65. LLM Engineering Module Getting to Know Streamlit/6. Sessin State.vtt 7.4 KB
50. Vector Databases Module Introduction to The Pinecone Vector Database/8. 3 Fineweb VectorDB.ipynb 7.4 KB
65. LLM Engineering Module Getting to Know Streamlit/1. Setting up environment.vtt 7.3 KB
34. LLMs Module Text Classification With XLNet/3. Preprocessing our data.vtt 7.3 KB
50. Vector Databases Module Introduction to The Pinecone Vector Database/7. 3. Pinecone Intro Full.ipynb 7.2 KB
39. LangChain Module Model Inputs/6. Chat prompt templates and chat prompt values.vtt 7.2 KB
45. LangGraph Module Graph Components and Implementation/6. 03-06 Conditional Edges.ipynb 7.2 KB
18. Python Module Iteration/1. Iteration_Exercises.ipynb 7.2 KB
18. Python Module Iteration/19. Iteration_Exercises.ipynb 7.2 KB
64. LLM Engineering Module Crafting and Testing AI Prompts/4. Prompt Engineering for Software Development.vtt 7.2 KB
38. LangChain Module The OpenAI API/4. Temperature, max tokens, and streaming.vtt 7.1 KB
41. LangChain Module LangChain Expression Language (LCEL)/1. Piping a prompt, model, and an output parser.vtt 7.1 KB
41. LangChain Module LangChain Expression Language (LCEL)/7. RunnableParallel.vtt 7.1 KB
50. Vector Databases Module Introduction to The Pinecone Vector Database/8. Upserting data from a text file and using an embedding algorithm.vtt 7.1 KB
66. LLM Engineering Module Developing the prototype/2. Implementing the Chat Functionality.vtt 7.1 KB
66. LLM Engineering Module Developing the prototype/4. Enhancing Chatbot Interaction with Session State.vtt 7.0 KB
03. Intro to AI Module Key AI techniques/1. Machine learning.vtt 7.0 KB
42. LangChain Module Retrieval Augmented Generation (RAG)/10. Indexing Document splitting with Markdown header text splitter.vtt 6.9 KB
53. Speech Recognition Module Sound and Speech Basics/4. Properties of sound waves.vtt 6.9 KB
36. LangChain Module Tokens, Models, and Prices/1. Tokens.vtt 6.9 KB
42. LangChain Module Retrieval Augmented Generation (RAG)/11. Indexing Text embedding with OpenAI.vtt 6.9 KB
18. Python Module Iteration/18. Using the Anaconda Assistant Several Python Tools.vtt 6.8 KB
18. Python Module Iteration/1. Iteration_Lectures.ipynb 6.8 KB
18. Python Module Iteration/19. Iteration_Lectures.ipynb 6.8 KB
10. Python Module Why Python/1. Programming Explained in a Few Minutes.vtt 6.7 KB
39. LangChain Module Model Inputs/7. Few-shot chat message prompt templates.vtt 6.7 KB
39. LangChain Module Model Inputs/1. The LangChain framework.vtt 6.6 KB
56. Speech Recognition Module Technology Mechanics/7. Selecting the appropriate speech recognition tool.vtt 6.6 KB
15. Python Module Conditional Statements/9.46 The ELIF Statement - Exercise #2.html 6.6 KB
12. Python Module Python Variables and Data Types/15. Types of Data - Strings.vtt 6.6 KB
42. LangChain Module Retrieval Augmented Generation (RAG)/12. Indexing Creating a Chroma vectorstore.vtt 6.6 KB
68. AI Ethics Module Introduction to AI and Data Ethics/3. Why AI Ethics matter more than ever.vtt 6.6 KB
50. Vector Databases Module Introduction to The Pinecone Vector Database/4. 3.5 Pinecone Homework solution.ipynb 6.6 KB
42. LangChain Module Retrieval Augmented Generation (RAG)/17. 09 RAG 17.ipynb 6.5 KB
57. Speech Recognition Module Setting Up the Environment/3. Installing packages for speech recognition.vtt 6.5 KB
07. Intro to AI Module The AI tech stack/4. The importance of open source.vtt 6.5 KB
35. LangChain Module Introduction/5. What does the course cover.vtt 6.4 KB
51. Vector Databases Module Semantic Search with Pinecone and Custom (Case Study)/2. Introduction to the case study – smart search for data science courses.vtt 6.4 KB
41. LangChain Module LangChain Expression Language (LCEL)/9. RunnableLambda.vtt 6.4 KB
16. Python Module Functions/1. Functions_Exercises.ipynb 6.3 KB
16. Python Module Functions/12. Functions_Exercises.ipynb 6.3 KB
15. Python Module Conditional Statements/6.44 The ELSE Statement - Exercise #1.html 6.3 KB
42. LangChain Module Retrieval Augmented Generation (RAG)/14. Retrieval Similarity search.vtt 6.3 KB
64. LLM Engineering Module Crafting and Testing AI Prompts/3. Optimizing Temperature and Top P for Different Use Cases.vtt 6.3 KB
16. Python Module Functions/21.60 Notable Built-in Functions in Python - Exercise #9.html 6.3 KB
23. NLP Module Sentiment Analysis/2. Rule-based sentiment analysis.vtt 6.3 KB
13. Python Module Basic Python Syntax/1. Introduction to Using Basic Python’s Syntax_Exercises.ipynb 6.3 KB
13. Python Module Basic Python Syntax/28. Introduction to Using Basic Python’s Syntax_Exercises.ipynb 6.3 KB
45. LangGraph Module Graph Components and Implementation/4. 03-04 First Graph.ipynb 6.2 KB
12. Python Module Python Variables and Data Types/1. Python Variables and Types of Data_Exercises.ipynb 6.2 KB
12. Python Module Python Variables and Data Types/15. Python Variables and Types of Data_Exercises.ipynb 6.2 KB
60. Speech Recognition Module Transcribing Audio with OpenAI's Whisper/3. Transcribing multiple audio files from a directory.vtt 6.2 KB
41. LangChain Module LangChain Expression Language (LCEL)/8. Piping a RunnableParallel with other Runnables.vtt 6.2 KB
42. LangChain Module Retrieval Augmented Generation (RAG)/9. Indexing Document splitting with character text splitter (Code along).vtt 6.2 KB
45. LangGraph Module Graph Components and Implementation/1. States, nodes, and edges.vtt 6.2 KB
63. LLM Engineering Module Planning stage/5. Initial Prompt Development Part 1.vtt 6.1 KB
35. LangChain Module Introduction/3. Business applications of LangChain.vtt 6.1 KB
63. LLM Engineering Module Planning stage/9. Creating an Activity Diagram.vtt 6.1 KB
61. Speech Recognition Module Final Discussion and Future Directions/1. Modern practices and applications.vtt 6.1 KB
23. NLP Module Sentiment Analysis/5. Practical task.vtt 6.1 KB
62. LLM Engineering Module Introduction/3. The Interview Tool’s Specifics.vtt 6.1 KB
15. Python Module Conditional Statements/1. If-Elif-Else Statements_Lectures.ipynb 6.1 KB
15. Python Module Conditional Statements/10. If-Elif-Else Statements_Lectures.ipynb 6.1 KB
52. Speech Recognition Module Introduction/1. Welcome to the world of Speech Recognition.vtt 6.1 KB
48. Vector Databases Module Introduction/3. Database comparison SQL, NoSQL, and Vector.vtt 6.1 KB
15. Python Module Conditional Statements/8.45 The ELIF Statement - Exercise #1.html 6.1 KB
05. Intro to AI Module Understanding Generative AI/4. From Language Models to Large Language Models (LLMs).vtt 6.1 KB
38. LangChain Module The OpenAI API/1. 04 The OpenAI API 01.ipynb 6.0 KB
58. Speech Recognition Module Transcribing Audio with Google Web Speech API/5. Calculating WER and CER in Python.vtt 6.0 KB
39. LangChain Module Model Inputs/4. AI messages.vtt 6.0 KB
45. LangGraph Module Graph Components and Implementation/5. 03-05 Conditional Edges.ipynb 6.0 KB
38. LangChain Module The OpenAI API/3. 04 The OpenAI API 03.ipynb 6.0 KB
39. LangChain Module Model Inputs/5. Prompt templates and prompt values.vtt 5.9 KB
49. Vector Databases Module Basics of Vector Space and High-Dimensional Data/1. Introduction to vector space.vtt 5.9 KB
45. LangGraph Module Graph Components and Implementation/5. Conditional edges Defining nodes and a routing function.vtt 5.9 KB
60. Speech Recognition Module Transcribing Audio with OpenAI's Whisper/4. Saving audio transcriptions to CSV for easy analysis.vtt 5.9 KB
63. LLM Engineering Module Planning stage/6. Initial Prompt Development Part 2.vtt 5.9 KB
15. Python Module Conditional Statements/7. Conditional Statements - The ELIF Statement.vtt 5.9 KB
39. LangChain Module Model Inputs/7. 05 Model IO 07.ipynb 5.9 KB
19. Python Module A Few Important Python Concepts and Terms/2. Modules, Packages, and the Python Standard Library.vtt 5.9 KB
56. Speech Recognition Module Technology Mechanics/4. Advanced speech recognition systems Transformers.vtt 5.8 KB
09. Intro to AI Module Looking ahead/1. AI ethics.vtt 5.8 KB
03. Intro to AI Module Key AI techniques/2. Supervised, Unsupervised, and Reinforcement learning.vtt 5.8 KB
51. Vector Databases Module Semantic Search with Pinecone and Custom (Case Study)/8. Similarity search and querying the data.vtt 5.8 KB
54. Speech Recognition Module Analog to Digital Conversion/2. Audio signal processing for Machine Learning and AI.vtt 5.7 KB
15. Python Module Conditional Statements/3.43 The IF Statement - Exercise #2.html 5.7 KB
27. NLP Module Categorizing Fake News (Case Study)/9. Categorizing fake news with a custom classifier.vtt 5.7 KB
33. LLMs Module Question and Answer Models With BERT/6. Creating a QA bot.vtt 5.7 KB
19. Python Module A Few Important Python Concepts and Terms/5. What is Software Documentation.vtt 5.7 KB
66. LLM Engineering Module Developing the prototype/8. Uploading Your Project in GitHub.vtt 5.7 KB
19. Python Module A Few Important Python Concepts and Terms/1. Introduction to Object Oriented Programming (OOP).vtt 5.7 KB
63. LLM Engineering Module Planning stage/3. Tokens.vtt 5.6 KB
68. AI Ethics Module Introduction to AI and Data Ethics/2. The AI Lifecycle From data collection to model application.vtt 5.6 KB
55. Speech Recognition Module Audio Feature Extraction for AI Applications/3. Time-domain feature extraction Framing and feature computation.vtt 5.6 KB
54. Speech Recognition Module Analog to Digital Conversion/1. Key concepts Sample Rate, bit depth, and bit rate.vtt 5.5 KB
27. NLP Module Categorizing Fake News (Case Study)/7. What topics appear in fake news (Part 1).vtt 5.5 KB
47. LangGraph Module Thread-Level Persistence/2. Short-term memory with the InMemorySaver class.vtt 5.5 KB
42. LangChain Module Retrieval Augmented Generation (RAG)/13. 09 RAG 13.ipynb 5.5 KB
27. NLP Module Categorizing Fake News (Case Study)/6. Does sentiment differ between news types.vtt 5.5 KB
05. Intro to AI Module Understanding Generative AI/6. From N-Grams to RNNs to Transformers The Evolution of NLP.vtt 5.5 KB
51. Vector Databases Module Semantic Search with Pinecone and Custom (Case Study)/4. Data loading and preprocessing.vtt 5.5 KB
10. Python Module Why Python/2. Why Python.vtt 5.5 KB
35. LangChain Module Introduction/1. Introduction to the course.vtt 5.5 KB
41. LangChain Module LangChain Expression Language (LCEL)/4. The Runnable and RunnableSequence classes.vtt 5.5 KB
11. Python Module Setting Up the Environment/3. Jupyter - Introduction to Using Jupyter.vtt 5.5 KB
51. Vector Databases Module Semantic Search with Pinecone and Custom (Case Study)/10. Data preprocessing and embedding for courses with section data.vtt 5.5 KB
27. NLP Module Categorizing Fake News (Case Study)/8. What topics appear in fake news (Part 2).vtt 5.4 KB
41. LangChain Module LangChain Expression Language (LCEL)/8. 08 LCEL 08.ipynb 5.4 KB
16. Python Module Functions/8.50 Using a Function in Another Function - Exercise #1.html 5.4 KB
14. Python Module More on Operators/1. More on Working with Operators_Solutions.ipynb 5.4 KB
68. AI Ethics Module Introduction to AI and Data Ethics/1. What does the course cover.vtt 5.4 KB
08. Intro to AI Module AI job positions/1. AI strategist.vtt 5.4 KB
51. Vector Databases Module Semantic Search with Pinecone and Custom (Case Study)/6. Embedding Algorithms.vtt 5.4 KB
42. LangChain Module Retrieval Augmented Generation (RAG)/18. 09 RAG 18.ipynb 5.4 KB
48. Vector Databases Module Introduction/4. Understanding vector databases.vtt 5.3 KB
35. LangChain Module Introduction/4. What makes LangChain powerful.vtt 5.3 KB
11. Python Module Setting Up the Environment/4. Jupyter - Working with Notebook Files.vtt 5.3 KB
51. Vector Databases Module Semantic Search with Pinecone and Custom (Case Study)/13. Similarity search and querying courses and sections data.vtt 5.3 KB
41. LangChain Module LangChain Expression Language (LCEL)/2. Batching.vtt 5.3 KB
49. Vector Databases Module Basics of Vector Space and High-Dimensional Data/3. Vector embeddings walkthrough.vtt 5.3 KB
32. LLMs Module Hugging Face Transformers/2. The transformer pipeline.vtt 5.3 KB
16. Python Module Functions/10.51 Combining Conditional Statements and Functions - Exercise #1.html 5.3 KB
75. AI Ethics Module ChatGPT Ethics/3. OpenAI’s privacy policies and data handling.vtt 5.2 KB
14. Python Module More on Operators/7. Operators - Logical and Identity Operators.vtt 5.2 KB
17. Python Module Sequences/26.80 Tuples - Exercise #4.html 5.2 KB
52. Speech Recognition Module Introduction/3. Course Approach.vtt 5.2 KB
45. LangGraph Module Graph Components and Implementation/6. Conditional edges Building the graph.vtt 5.2 KB
51. Vector Databases Module Semantic Search with Pinecone and Custom (Case Study)/5. Pinecone Python APIs and connecting to the Pinecone server.vtt 5.2 KB
18. Python Module Iteration/20.97 Iterating over Dictionaries - Exercise #1.html 5.2 KB
01. Intro to AI Module Getting started/4. Brief history of AI.vtt 5.2 KB
56. Speech Recognition Module Technology Mechanics/5. Building a speech recognition model part I.vtt 5.2 KB
16. Python Module Functions/6.49 Another Way to Define a Function - Exercise #1.html 5.2 KB
25. NLP Module Topic Modelling/5. LDA in Python.vtt 5.1 KB
75. AI Ethics Module ChatGPT Ethics/5. ChatGPT plagiarism.vtt 5.1 KB
55. Speech Recognition Module Audio Feature Extraction for AI Applications/4. Frequency-domain feature extraction Fourier transform.vtt 5.1 KB
45. LangGraph Module Graph Components and Implementation/4. First graph Building the graph.vtt 5.1 KB
64. LLM Engineering Module Crafting and Testing AI Prompts/5. How to Test Out a Prompt Template.vtt 5.1 KB
76. AI Ethics Module Data and AI Regulatory Frameworks/2. European Union GDPR and the EU Artificial Intelligence Act.vtt 5.1 KB
33. LLMs Module Question and Answer Models With BERT/2. BERT architecture.vtt 5.1 KB
27. NLP Module Categorizing Fake News (Case Study)/4. Extracting named entities.vtt 5.1 KB
15. Python Module Conditional Statements/1. If-Elif-Else Statements_Solutions.ipynb 5.1 KB
15. Python Module Conditional Statements/10. If-Elif-Else Statements_Solutions.ipynb 5.1 KB
23. NLP Module Sentiment Analysis/3. Pre-trained transformer models.vtt 5.1 KB
56. Speech Recognition Module Technology Mechanics/6. Building a speech recognition model part II.vtt 5.1 KB
04. Intro to AI Module Important AI branches/1. Robotics.vtt 5.1 KB
66. LLM Engineering Module Developing the prototype/4. app3.py 5.1 KB
51. Vector Databases Module Semantic Search with Pinecone and Custom (Case Study)/18. Vector database for biomedical research.vtt 5.1 KB
51. Vector Databases Module Semantic Search with Pinecone and Custom (Case Study)/17. Vector database for semantic image search.vtt 5.1 KB
41. LangChain Module LangChain Expression Language (LCEL)/3. Streaming.vtt 5.0 KB
51. Vector Databases Module Semantic Search with Pinecone and Custom (Case Study)/1. Introduction to semantic search.vtt 5.0 KB
73. AI Ethics Module Ethical AI for End-Users Businesses/2. Transparency in AI decision-making processes.vtt 5.0 KB
39. LangChain Module Model Inputs/3. System and human messages.vtt 5.0 KB
18. Python Module Iteration/14.94 Conditional Statements and Loops - Exercise #2.html 5.0 KB
50. Vector Databases Module Introduction to The Pinecone Vector Database/6. Upserting data to a pinecone vector database.vtt 5.0 KB
15. Python Module Conditional Statements/2.42 The IF Statement - Exercise #1.html 5.0 KB
46. LangGraph Module Message Management/1. The Annotated construct and reducer functions.vtt 5.0 KB
17. Python Module Sequences/14. Sequences - List Slicing.vtt 5.0 KB
18. Python Module Iteration/21.98 Iterating over Dictionaries - Exercise #2.html 5.0 KB
37. LangChain Module Setting Up the Environment/3. 03 Setting Up the Env 03.ipynb 5.0 KB
13. Python Module Basic Python Syntax/7.20 Arithmetic Operators - Exercise #6.html 4.9 KB
17. Python Module Sequences/10.67 Using Methods - Exercise #2.html 4.9 KB
50. Vector Databases Module Introduction to The Pinecone Vector Database/2. Pinecone registration, walkthrough and creating an Index.vtt 4.9 KB
51. Vector Databases Module Semantic Search with Pinecone and Custom (Case Study)/15. Using the BERT embedding algorithm.vtt 4.9 KB
41. LangChain Module LangChain Expression Language (LCEL)/10. The @chain decorator.vtt 4.9 KB
41. LangChain Module LangChain Expression Language (LCEL)/9. 08 LCEL 09.ipynb 4.9 KB
17. Python Module Sequences/28.81 Dictionaries - Exercise #1.html 4.9 KB
05. Intro to AI Module Understanding Generative AI/7. Phases in building LLMs.vtt 4.9 KB
34. LLMs Module Text Classification With XLNet/1. GPT vs BERT vs XLNET.vtt 4.9 KB
17. Python Module Sequences/11.68 Using Methods - Exercise #3.html 4.9 KB
13. Python Module Basic Python Syntax/16.25 Reassign Values - Exercise #2.html 4.8 KB
13. Python Module Basic Python Syntax/2.15 Arithmetic Operators - Exercise #1.html 4.8 KB
26. NLP Module Building Your Own Text Classifier/2. Logistic regression.vtt 4.8 KB
13. Python Module Basic Python Syntax/9.22 Arithmetic Operators - Exercise #8.html 4.8 KB
45. LangGraph Module Graph Components and Implementation/3. 03-03 First Graph.ipynb 4.8 KB
13. Python Module Basic Python Syntax/6.19 Arithmetic Operators - Exercise #5.html 4.8 KB
12. Python Module Python Variables and Data Types/6.4 Python Variables - Exercise #4.html 4.8 KB
13. Python Module Basic Python Syntax/8.21 Arithmetic Operators - Exercise #7.html 4.8 KB
13. Python Module Basic Python Syntax/3.16 Arithmetic Operators - Exercise #2.html 4.8 KB
14. Python Module More on Operators/3.33 Comparison Operators - Exercise #2.html 4.8 KB
12. Python Module Python Variables and Data Types/16.10 Strings - Exercise #1.html 4.8 KB
13. Python Module Basic Python Syntax/5.18 Arithmetic Operators - Exercise #4.html 4.8 KB
65. LLM Engineering Module Getting to Know Streamlit/5. Streamlit Elements Chat Elements.vtt 4.8 KB
13. Python Module Basic Python Syntax/4.17 Arithmetic Operators - Exercise #3.html 4.8 KB
41. LangChain Module LangChain Expression Language (LCEL)/5. 08 LCEL 05.ipynb 4.8 KB
47. LangGraph Module Thread-Level Persistence/4. Long-term memory with SQLite.vtt 4.8 KB
69. AI Ethics Module The Core Principles of AI Ethics/4. Fairness.vtt 4.8 KB
13. Python Module Basic Python Syntax/18.27 Reassign Values - Exercise #4.html 4.8 KB
67. LLM Engineering Module Solving Real-World AI Challenges/7. Prompt Injection.vtt 4.8 KB
18. Python Module Iteration/15.95 Conditional Statements and Loops - Exercise #3.html 4.8 KB
14. Python Module More on Operators/5.35 Comparison Operators - Exercise #4.html 4.8 KB
16. Python Module Functions/18.57 Notable Built-in Functions in Python - Exercise #6.html 4.8 KB
22. NLP Module Identifying Parts of Speech and Named Entities/3. Named Entity Recognition (NER).vtt 4.7 KB
42. LangChain Module Retrieval Augmented Generation (RAG)/17. Generation Stuffing documents.vtt 4.7 KB
17. Python Module Sequences/2.61 Lists - Exercise #1.html 4.7 KB
17. Python Module Sequences/32.85 Dictionaries - Exercise #5.html 4.7 KB
17. Python Module Sequences/33.86 Dictionaries - Exercise #6.html 4.7 KB
18. Python Module Iteration/13.93 Conditional Statements and Loops - Exercise #1.html 4.7 KB
31. LLMs Module Getting Started With GPT Models/10. Adding custom data to our chatbot.vtt 4.7 KB
14. Python Module More on Operators/2.32 Comparison Operators - Exercise #1.html 4.7 KB
52. Speech Recognition Module Introduction/5. Development and Evolution.vtt 4.7 KB
09. Intro to AI Module Looking ahead/2. Future of AI.vtt 4.7 KB
13. Python Module Basic Python Syntax/12.23 The Double Equality Sign - Exercise #1.html 4.7 KB
42. LangChain Module Retrieval Augmented Generation (RAG)/13. Indexing Inspecting and managing documents in a vectorstore.vtt 4.7 KB
63. LLM Engineering Module Planning stage/1. Hosting an LLM vs Using an API.vtt 4.7 KB
14. Python Module More on Operators/4.34 Comparison Operators - Exercise #3.html 4.7 KB
18. Python Module Iteration/3.88 For Loops - Exercise #2.html 4.7 KB
14. Python Module More on Operators/11.39 Logical and Identity Operators - Exercise #4.html 4.7 KB
12. Python Module Python Variables and Data Types/23. Using the Anaconda Assistant Strings.vtt 4.7 KB
18. Python Module Iteration/17.96 Conditional Statements, Functions, and Loops - Exercise #1.html 4.7 KB
51. Vector Databases Module Semantic Search with Pinecone and Custom (Case Study)/16. Vector database for recommendation engines.vtt 4.7 KB
25. NLP Module Topic Modelling/8. How many topics.vtt 4.7 KB
73. AI Ethics Module Ethical AI for End-Users Businesses/1. Access to AI technology for businesses of all sizes.vtt 4.7 KB
17. Python Module Sequences/9.66 Using Methods - Exercise #1.html 4.7 KB
17. Python Module Sequences/12.69 Using Methods - Exercise #4.html 4.7 KB
04. Intro to AI Module Important AI branches/2. Computer vision.vtt 4.7 KB
18. Python Module Iteration/2.87 For Loops - Exercise #1.html 4.6 KB
14. Python Module More on Operators/12.40 Logical and Identity Operators - Exercise #5.html 4.6 KB
17. Python Module Sequences/4.63 Lists - Exercise #3.html 4.6 KB
14. Python Module More on Operators/13.41 Logical and Identity Operators - Exercise #6.html 4.6 KB
17. Python Module Sequences/17.72 List Slicing - Exercise #3.html 4.6 KB
16. Python Module Functions/14.53 Notable Built-in Functions in Python - Exercise #2.html 4.6 KB
17. Python Module Sequences/20.75 List Slicing - Exercise #6.html 4.6 KB
22. NLP Module Identifying Parts of Speech and Named Entities/2. Parts of Speech (POS) tagging.vtt 4.6 KB
17. Python Module Sequences/19.74 List Slicing - Exercise #5.html 4.6 KB
51. Vector Databases Module Semantic Search with Pinecone and Custom (Case Study)/9. How to update and change your vector database.vtt 4.6 KB
70. AI Ethics Module Ethical Data Collection/1. Ethical sourcing and types of data.vtt 4.6 KB
18. Python Module Iteration/6.89 While Loops and Incrementing - Exercise #1.html 4.6 KB
17. Python Module Sequences/3.62 Lists - Exercise #2.html 4.6 KB
16. Python Module Functions/17.56 Notable Built-in Functions in Python - Exercise #5.html 4.6 KB
13. Python Module Basic Python Syntax/23.28 Line Continuation - Exercise #1.html 4.6 KB
08. Intro to AI Module AI job positions/2. AI developer.vtt 4.6 KB
17. Python Module Sequences/15.70 List Slicing - Exercise #1.html 4.6 KB
13. Python Module Basic Python Syntax/29.31 Indentation - Exercise #1.html 4.6 KB
41. LangChain Module LangChain Expression Language (LCEL)/7. 08 LCEL 07.ipynb 4.6 KB
72. AI Ethics Module Ethical AI Deployment/4. Inconsistency.vtt 4.6 KB
33. LLMs Module Question and Answer Models With BERT/5. Calculating the response.vtt 4.6 KB
75. AI Ethics Module ChatGPT Ethics/1. Understanding ChatGPT.vtt 4.6 KB
17. Python Module Sequences/16.71 List Slicing - Exercise #2.html 4.6 KB
16. Python Module Functions/13.52 Notable Built-in Functions in Python - Exercise #1.html 4.5 KB
16. Python Module Functions/20.59 Notable Built-in Functions in Python - Exercise #8.html 4.5 KB
16. Python Module Functions/19.58 Notable Built-in Functions in Python - Exercise #7.html 4.5 KB
05. Intro to AI Module Understanding Generative AI/8. Prompt engineering vs Fine-tuning vs RAG Techniques for AI optimization.vtt 4.5 KB
17. Python Module Sequences/25.79 Tuples - Exercise #3.html 4.5 KB
17. Python Module Sequences/18.73 List Slicing - Exercise #4.html 4.5 KB
12. Python Module Python Variables and Data Types/18.12 Strings - Exercise #3.html 4.5 KB
31. LLMs Module Getting Started With GPT Models/5. Customizing GPT output.vtt 4.5 KB
17. Python Module Sequences/24.78 Tuples - Exercise #2.html 4.5 KB
51. Vector Databases Module Semantic Search with Pinecone and Custom (Case Study)/7. Embedding the data and upserting the files to Pinecone.vtt 4.5 KB
59. Speech Recognition Module Background Noise and Spectrograms/1. Understanding noise in audio files.vtt 4.5 KB
13. Python Module Basic Python Syntax/26.30 Indexing Elements - Exercise #2.html 4.5 KB
16. Python Module Functions/3.47 Creating a Function with a Parameter - Exercise #1.html 4.5 KB
12. Python Module Python Variables and Data Types/13.9 Numbers and Boolean Values - Exercise #5.html 4.5 KB
66. LLM Engineering Module Developing the prototype/6. Implementing Feedback Functionality Part 1.vtt 4.5 KB
18. Python Module Iteration/9.91 Create Lists with the range() Function - Exercise #2.html 4.5 KB
18. Python Module Iteration/10.92 Create Lists with the range() Function - Exercise #3.html 4.5 KB
50. Vector Databases Module Introduction to The Pinecone Vector Database/5. Creating and deleting a Pinecone index using Python.vtt 4.5 KB
13. Python Module Basic Python Syntax/25.29 Indexing Elements - Exercise #1.html 4.5 KB
17. Python Module Sequences/31.84 Dictionaries - Exercise #4.html 4.5 KB
66. LLM Engineering Module Developing the prototype/9. Deploying Your Streamlit App.vtt 4.5 KB
12. Python Module Python Variables and Data Types/20.14 Strings - Exercise #5.html 4.5 KB
17. Python Module Sequences/30.83 Dictionaries - Exercise #3.html 4.5 KB
12. Python Module Python Variables and Data Types/3.1 Python Variables - Exercise #1.html 4.5 KB
12. Python Module Python Variables and Data Types/10.6 Numbers and Boolean Values - Exercise #2.html 4.4 KB
14. Python Module More on Operators/9.37 Logical and Identity Operators - Exercise #2.html 4.4 KB
16. Python Module Functions/4.48 Creating a Function with a Parameter - Exercise #2.html 4.4 KB
18. Python Module Iteration/8.90 Create Lists with the range() Function - Exercise #1.html 4.4 KB
12. Python Module Python Variables and Data Types/12.8 Numbers and Boolean Values - Exercise #4.html 4.4 KB
42. LangChain Module Retrieval Augmented Generation (RAG)/11. 09 RAG 11.ipynb 4.4 KB
21. NLP Module Text Preprocessing/8. N-grams.vtt 4.4 KB
12. Python Module Python Variables and Data Types/9.5 Numbers and Boolean Values - Exercise #1.html 4.4 KB
42. LangChain Module Retrieval Augmented Generation (RAG)/3. Introduction to document loading and splitting.vtt 4.4 KB
17. Python Module Sequences/1. Sequences - Lists.vtt 4.4 KB
14. Python Module More on Operators/8.36 Logical and Identity Operators - Exercise #1.html 4.4 KB
16. Python Module Functions/15.54 Notable Built-in Functions in Python - Exercise #3.html 4.4 KB
16. Python Module Functions/16.55 Notable Built-in Functions in Python - Exercise #4.html 4.4 KB
14. Python Module More on Operators/10.38 Logical and Identity Operators - Exercise #3.html 4.4 KB
18. Python Module Iteration/7. Iteration - Creatie Lists with the range() Function.vtt 4.4 KB
17. Python Module Sequences/29.82 Dictionaries - Exercise #2.html 4.4 KB
45. LangGraph Module Graph Components and Implementation/3. First graph Defining a state and a node.vtt 4.4 KB
50. Vector Databases Module Introduction to The Pinecone Vector Database/6. 3.4 Introduction to Pinecone.ipynb 4.4 KB
12. Python Module Python Variables and Data Types/5.3 Python Variables - Exercise #3.html 4.4 KB
12. Python Module Python Variables and Data Types/19.13 Strings - Exercise #4.html 4.4 KB
56. Speech Recognition Module Technology Mechanics/1. Acoustic and language modeling.vtt 4.4 KB
42. LangChain Module Retrieval Augmented Generation (RAG)/1. How to integrate custom data into an LLM.vtt 4.4 KB
12. Python Module Python Variables and Data Types/17.11 Strings - Exercise #2.html 4.3 KB
66. LLM Engineering Module Developing the prototype/1. Initializing an OpenAI Client.vtt 4.3 KB
63. LLM Engineering Module Planning stage/4. Pricing Hosting an LLM vs Pay-by-Token.vtt 4.3 KB
12. Python Module Python Variables and Data Types/4.2 Python Variables - Exercise #2.html 4.3 KB
30. LLMs Module The Transformer Architecture/2. The problem with RNNs.vtt 4.3 KB
38. LangChain Module The OpenAI API/2. System, user, and assistant roles.vtt 4.3 KB
42. LangChain Module Retrieval Augmented Generation (RAG)/5. Introduction to document storing, retrieval, and generation.vtt 4.3 KB
42. LangChain Module Retrieval Augmented Generation (RAG)/14. 09 RAG 14.ipynb 4.3 KB
44. LangGraph Module Setting Up the Environment/1. Setting up the environment.vtt 4.3 KB
30. LLMs Module The Transformer Architecture/6. Multi-headed attention.vtt 4.3 KB
61. Speech Recognition Module Final Discussion and Future Directions/3. The future of speech recognition with AI.vtt 4.3 KB
17. Python Module Sequences/6.65 Lists - Exercise #5.html 4.3 KB
12. Python Module Python Variables and Data Types/11.7 Numbers and Boolean Values - Exercise #3.html 4.3 KB
39. LangChain Module Model Inputs/6. 05 Model IO 06.ipynb 4.3 KB
12. Python Module Python Variables and Data Types/1. Python Variables.vtt 4.3 KB
17. Python Module Sequences/21.76 List Slicing - Exercise #7.html 4.3 KB
71. AI Ethics Module Ethical AI Development/1. Ethical challenges in working with labeled data.vtt 4.3 KB
17. Python Module Sequences/5.64 Lists - Exercise #4.html 4.3 KB
17. Python Module Sequences/23.77 Tuples - Exercise #1.html 4.3 KB
11. Python Module Setting Up the Environment/1. Jupyter - Introduction.vtt 4.2 KB
41. LangChain Module LangChain Expression Language (LCEL)/1. 08 LCEL 01.ipynb 4.2 KB
72. AI Ethics Module Ethical AI Deployment/5. Hallucination.vtt 4.2 KB
38. LangChain Module The OpenAI API/1. First Steps.vtt 4.2 KB
19. Python Module A Few Important Python Concepts and Terms/3. Importing Modules.vtt 4.2 KB
13. Python Module Basic Python Syntax/15.24 Reassign Values - Exercise #1.html 4.2 KB
04. Intro to AI Module Important AI branches/4. Generative AI.vtt 4.2 KB
13. Python Module Basic Python Syntax/17.26 Reassign Values - Exercise #3.html 4.2 KB
02. Intro to AI Module Data is essential for building AI/2. How we collect data.vtt 4.2 KB
53. Speech Recognition Module Sound and Speech Basics/3. Fundamentals of sound and sound waves.vtt 4.2 KB
01. Intro to AI Module Getting started/2. What does the course cover.vtt 4.2 KB
42. LangChain Module Retrieval Augmented Generation (RAG)/2. Introduction to RAG.vtt 4.1 KB
68. AI Ethics Module Introduction to AI and Data Ethics/4. Ethics vs laws.vtt 4.1 KB
75. AI Ethics Module ChatGPT Ethics/2. Privacy concerns with ChatGPT.vtt 4.1 KB
63. LLM Engineering Module Planning stage/8. What Is an Activity Diagram.vtt 4.1 KB
11. Python Module Setting Up the Environment/2. Jupyter - Installing Anaconda.vtt 4.1 KB
21. NLP Module Text Preprocessing/3. Removing stop words.vtt 4.1 KB
71. AI Ethics Module Ethical AI Development/6. Inclusive and fair AI development practices.vtt 4.1 KB
42. LangChain Module Retrieval Augmented Generation (RAG)/15. 09 RAG 15.ipynb 4.0 KB
62. LLM Engineering Module Introduction/1. Introduction to the Course.vtt 4.0 KB
42. LangChain Module Retrieval Augmented Generation (RAG)/18. Generation Generating a response.vtt 4.0 KB
16. Python Module Functions/2. Functions - Creating a Function with a Parameter.vtt 4.0 KB
41. LangChain Module LangChain Expression Language (LCEL)/3. 08 LCEL 03.ipynb 4.0 KB
71. AI Ethics Module Ethical AI Development/2. Ethical considerations for unlabeled data.vtt 4.0 KB
67. LLM Engineering Module Solving Real-World AI Challenges/2. Application Structure.vtt 4.0 KB
50. Vector Databases Module Introduction to The Pinecone Vector Database/3. Connecting to Pinecone using Python.vtt 4.0 KB
45. LangGraph Module Graph Components and Implementation/2. First graph Importing relevant classes.vtt 4.0 KB
63. LLM Engineering Module Planning stage/7. Database Design and Schema Development.vtt 4.0 KB
53. Speech Recognition Module Sound and Speech Basics/1. How do humans recognize speech.vtt 4.0 KB
75. AI Ethics Module ChatGPT Ethics/4. Misinformation and AI-generated content.vtt 3.9 KB
37. LangChain Module Setting Up the Environment/1. Setting up a custom anaconda environment for Jupyter integration.vtt 3.9 KB
36. LangChain Module Tokens, Models, and Prices/2. Models and Prices.vtt 3.9 KB
71. AI Ethics Module Ethical AI Development/4. Ethical considerations for supervised Fine-tuning.vtt 3.9 KB
16. Python Module Functions/12. Functions - Notable Built-in Functions in Python.vtt 3.9 KB
24. NLP Module Vectorizing Text/3. TF-IDF.vtt 3.9 KB
42. LangChain Module Retrieval Augmented Generation (RAG)/12. 09 RAG 12.ipynb 3.9 KB
13. Python Module Basic Python Syntax/1. Basic Python Syntax - Arithmetic Operators.vtt 3.9 KB
17. Python Module Sequences/27. Sequences - Dictionaries.vtt 3.9 KB
42. LangChain Module Retrieval Augmented Generation (RAG)/16. Retrieval Vectorstore-backed retriever.vtt 3.9 KB
08. Intro to AI Module AI job positions/3. AI engineer.vtt 3.9 KB
65. LLM Engineering Module Getting to Know Streamlit/3. Streamlit Elements Titles, Headers, and Formatting.vtt 3.9 KB
43. LangGraph Module Introduction/2. What does the course cover.vtt 3.8 KB
29. LLMs Module Introduction to Large Language Models/7. What can LLMs be used for.vtt 3.8 KB
69. AI Ethics Module The Core Principles of AI Ethics/1. Privacy.vtt 3.8 KB
47. LangGraph Module Thread-Level Persistence/1. Checkpointers and threads.vtt 3.8 KB
72. AI Ethics Module Ethical AI Deployment/1. Intellectual property and user consent in AI interactions.vtt 3.8 KB
48. Vector Databases Module Introduction/1. Introduction to the course.vtt 3.8 KB
31. LLMs Module Getting Started With GPT Models/6. Key word text summarization.vtt 3.8 KB
25. NLP Module Topic Modelling/1. What is topic modelling.vtt 3.8 KB
65. LLM Engineering Module Getting to Know Streamlit/4. Streamlit Elements Text Methods.vtt 3.8 KB
31. LLMs Module Getting Started With GPT Models/7. Coding a simple chatbot.vtt 3.8 KB
52. Speech Recognition Module Introduction/4. How it all started Formants, harmonics, and phonemes.vtt 3.8 KB
72. AI Ethics Module Ethical AI Deployment/3. Common issues in foundation models Open-source data.vtt 3.8 KB
27. NLP Module Categorizing Fake News (Case Study)/2. Introducing the project.vtt 3.7 KB
32. LLMs Module Hugging Face Transformers/5. Hugging Face and PyTorchTensorFlow.vtt 3.7 KB
74. AI Ethics Module Ethical AI for End-Users Individuals/1. Equity in access to AI technology.vtt 3.7 KB
60. Speech Recognition Module Transcribing Audio with OpenAI's Whisper/5. Reversing the process AI-powered text-to-speech.vtt 3.7 KB
69. AI Ethics Module The Core Principles of AI Ethics/3. Accountability.vtt 3.7 KB
67. LLM Engineering Module Solving Real-World AI Challenges/10. Scaling.vtt 3.7 KB
46. LangGraph Module Message Management/2. Reducer functions in action.vtt 3.7 KB
75. AI Ethics Module ChatGPT Ethics/6. ChatGPT and the environment.vtt 3.7 KB
40. LangChain Module Output Parsers/2. Comma-separated list output parser.vtt 3.7 KB
42. LangChain Module Retrieval Augmented Generation (RAG)/16. 09 RAG 16.ipynb 3.7 KB
40. LangChain Module Output Parsers/2. 07 Output Parsers 02.ipynb 3.7 KB
70. AI Ethics Module Ethical Data Collection/2. Proprietary data.vtt 3.6 KB
17. Python Module Sequences/8. Sequences - Using Methods.vtt 3.6 KB
71. AI Ethics Module Ethical AI Development/3. Ethical challenges in unsupervised training.vtt 3.6 KB
42. LangChain Module Retrieval Augmented Generation (RAG)/9. 09 RAG 09.ipynb 3.6 KB
34. LLMs Module Text Classification With XLNet/4. XLNet Embeddings.vtt 3.6 KB
40. LangChain Module Output Parsers/3. 07 Output Parsers 03.ipynb 3.6 KB
05. Intro to AI Module Understanding Generative AI/5. The efficiency of LLM training. Supervised vs Semi-supervised learning.vtt 3.6 KB
28. NLP Module The Future of NLP/1. What is deep learning.vtt 3.6 KB
14. Python Module More on Operators/1. More on Working with Operators_Exercises.ipynb 3.6 KB
46. LangGraph Module Message Management/3. The MessagesState class.vtt 3.6 KB
39. LangChain Module Model Inputs/4. 05 Model IO 04.ipynb 3.5 KB
29. LLMs Module Introduction to Large Language Models/3. What are LLMs.vtt 3.5 KB
29. LLMs Module Introduction to Large Language Models/4. How large is an LLM.vtt 3.5 KB
73. AI Ethics Module Ethical AI for End-Users Businesses/3. Ethical use of AI outputs in business.vtt 3.5 KB
65. LLM Engineering Module Getting to Know Streamlit/2. Streamlit's Pros and Cons.vtt 3.5 KB
41. LangChain Module LangChain Expression Language (LCEL)/2. 08 LCEL 02.ipynb 3.5 KB
18. Python Module Iteration/12. Iteraion - Use Conditional Statements and Loops Together.vtt 3.4 KB
18. Python Module Iteration/19. Iteration - Iterating over Dictionaries.vtt 3.4 KB
46. LangGraph Module Message Management/5. Trimming messages.vtt 3.4 KB
41. LangChain Module LangChain Expression Language (LCEL)/6. 08 LCEL 06.ipynb 3.4 KB
24. NLP Module Vectorizing Text/2. Bag of Words model.vtt 3.4 KB
72. AI Ethics Module Ethical AI Deployment/2. Ethical responsibilities of foundation model developers.vtt 3.4 KB
15. Python Module Conditional Statements/1. If-Elif-Else Statements_Exercises.ipynb 3.4 KB
15. Python Module Conditional Statements/10. If-Elif-Else Statements_Exercises.ipynb 3.4 KB
34. LLMs Module Text Classification With XLNet/5. Fine tuning XLNet.vtt 3.4 KB
57. Speech Recognition Module Setting Up the Environment/4. Importing the relevant packages in Jupyter.vtt 3.4 KB
58. Speech Recognition Module Transcribing Audio with Google Web Speech API/4. Evaluation metrics WER and CER.vtt 3.4 KB
69. AI Ethics Module The Core Principles of AI Ethics/2. Transparency.vtt 3.3 KB
30. LLMs Module The Transformer Architecture/5. Input embeddings.vtt 3.3 KB
40. LangChain Module Output Parsers/3. Datetime output parser.vtt 3.3 KB
66. LLM Engineering Module Developing the prototype/3. app2.py 3.3 KB
15. Python Module Conditional Statements/1. Conditional Statements - The IF Statement.vtt 3.3 KB
20. NLP Module Introduction/1. Introduction to the course.vtt 3.3 KB
47. LangGraph Module Thread-Level Persistence/3. The StateSnapshot class.vtt 3.2 KB
31. LLMs Module Getting Started With GPT Models/9. LangChain.vtt 3.2 KB
07. Intro to AI Module The AI tech stack/3. Vector databases.vtt 3.2 KB
33. LLMs Module Question and Answer Models With BERT/1. GPT vs BERT.vtt 3.2 KB
12. Python Module Python Variables and Data Types/8. Types of Data - Numbers and Boolean Values.vtt 3.2 KB
42. LangChain Module Retrieval Augmented Generation (RAG)/10. 09 RAG 10.ipynb 3.2 KB
16. Python Module Functions/9. Functions - Combining Conditional Statements and Functions.vtt 3.2 KB
07. Intro to AI Module The AI tech stack/6. LangChain.vtt 3.2 KB
33. LLMs Module Question and Answer Models With BERT/7. BERT, RoBERTa, DistilBERT.vtt 3.2 KB
40. LangChain Module Output Parsers/1. 07 Output Parsers 01.ipynb 3.1 KB
42. LangChain Module Retrieval Augmented Generation (RAG)/6. 09 RAG 06.ipynb 3.1 KB
38. LangChain Module The OpenAI API/3. Creating a sarcastic chatbot.vtt 3.1 KB
67. LLM Engineering Module Solving Real-World AI Challenges/8. Counting Tokens.vtt 3.1 KB
29. LLMs Module Introduction to Large Language Models/6. Pre-training and fine tuning.vtt 3.1 KB
18. Python Module Iteration/1. Iteration - For Loops.vtt 3.1 KB
74. AI Ethics Module Ethical AI for End-Users Individuals/3. Responsible use of AI-generated outputs.vtt 3.1 KB
42. LangChain Module Retrieval Augmented Generation (RAG)/8. Indexing Document splitting with character text splitter (Theory).vtt 3.1 KB
32. LLMs Module Hugging Face Transformers/4. Special tokens.vtt 3.1 KB
61. Speech Recognition Module Final Discussion and Future Directions/2. Challenges and limitations.vtt 3.1 KB
29. LLMs Module Introduction to Large Language Models/1. Introduction to the course.vtt 3.1 KB
07. Intro to AI Module The AI tech stack/7. AI evaluation tools.vtt 3.1 KB
73. AI Ethics Module Ethical AI for End-Users Businesses/4. Responsible AI adoption and risk management for businesses.vtt 3.1 KB
45. LangGraph Module Graph Components and Implementation/2. 03-02 First Graph.ipynb 3.1 KB
46. LangGraph Module Message Management/4. The RemoveMessages class.vtt 3.1 KB
43. LangGraph Module Introduction/1. Welcome to the course!.vtt 3.0 KB
66. LLM Engineering Module Developing the prototype/5. Refining Our Project.vtt 3.0 KB
41. LangChain Module LangChain Expression Language (LCEL)/10. 08 LCEL 10.ipynb 3.0 KB
06. Intro to AI Module Practical challenges in Generative AI/2. Budgeting and API costs.vtt 3.0 KB
67. LLM Engineering Module Solving Real-World AI Challenges/5. Additional Protection From Errors.vtt 3.0 KB
30. LLMs Module The Transformer Architecture/3. The solution attention is all you need.vtt 3.0 KB
05. Intro to AI Module Understanding Generative AI/3. Recent NLP advancements.vtt 3.0 KB
17. Python Module Sequences/22. Sequences - Tuples.vtt 3.0 KB
71. AI Ethics Module Ethical AI Development/5. RLHF and ethical AI behavior.vtt 3.0 KB
21. NLP Module Text Preprocessing/5. Tokenization.vtt 3.0 KB
05. Intro to AI Module Understanding Generative AI/9. The importance of foundation models.vtt 3.0 KB
39. LangChain Module Model Inputs/5. 05 Model IO 05.ipynb 2.9 KB
18. Python Module Iteration/22. Using the Anaconda Assistant Dictionaries.vtt 2.9 KB
32. LLMs Module Hugging Face Transformers/1. Hugging Face package.vtt 2.9 KB
30. LLMs Module The Transformer Architecture/7. Feed-forward layer.vtt 2.9 KB
21. NLP Module Text Preprocessing/6. Stemming.vtt 2.9 KB
39. LangChain Module Model Inputs/3. 05 Model IO 03.ipynb 2.9 KB
26. NLP Module Building Your Own Text Classifier/4. Linear support vector machine.vtt 2.9 KB
15. Python Module Conditional Statements/5. Conditional Statements - The ELSE Statement.vtt 2.9 KB
31. LLMs Module Getting Started With GPT Models/3. OpenAI API.vtt 2.8 KB
30. LLMs Module The Transformer Architecture/1. Deep learning recap.vtt 2.8 KB
57. Speech Recognition Module Setting Up the Environment/1. Installing Anaconda.vtt 2.8 KB
76. AI Ethics Module Data and AI Regulatory Frameworks/5. Africa's push for AI governance.vtt 2.8 KB
12. Python Module Python Variables and Data Types/22. Anaconda AI - Introduction.vtt 2.8 KB
05. Intro to AI Module Understanding Generative AI/2. Early approaches to Natural Language Processing (NLP).vtt 2.8 KB
57. Speech Recognition Module Setting Up the Environment/2. Setting up a new environment.vtt 2.8 KB
62. LLM Engineering Module Introduction/2. What does the course cover.vtt 2.8 KB
41. LangChain Module LangChain Expression Language (LCEL)/4. 08 LCEL 04.ipynb 2.8 KB
06. Intro to AI Module Practical challenges in Generative AI/1. Inconsistency and hallucination.vtt 2.8 KB
51. Vector Databases Module Semantic Search with Pinecone and Custom (Case Study)/12. Upserting the new updated files to Pinecone.vtt 2.8 KB
76. AI Ethics Module Data and AI Regulatory Frameworks/4. Asia-Pacific region Strong government control.vtt 2.8 KB
25. NLP Module Topic Modelling/3. Latent Dirichlet Allocation (LDA).vtt 2.8 KB
39. LangChain Module Model Inputs/2. 05 Model IO 02.ipynb 2.8 KB
70. AI Ethics Module Ethical Data Collection/4. Web-scraped data.vtt 2.7 KB
60. Speech Recognition Module Transcribing Audio with OpenAI's Whisper/2. A note on variability.html 2.7 KB
50. Vector Databases Module Introduction to The Pinecone Vector Database/7. Getting to know the fine web data set and loading it to Jupyter.vtt 2.7 KB
42. LangChain Module Retrieval Augmented Generation (RAG)/7. Indexing Document loading with Docx2txtLoader.vtt 2.7 KB
40. LangChain Module Output Parsers/1. String output parser.vtt 2.7 KB
43. LangGraph Module Introduction/3. Course prerequisites.vtt 2.7 KB
16. Python Module Functions/5. Functions - Another Way to Define a Function.vtt 2.7 KB
15. Python Module Conditional Statements/10. Conditional Statements - A Note on Boolean Values.vtt 2.7 KB
70. AI Ethics Module Ethical Data Collection/6. Data bias and fair representation.vtt 2.7 KB
51. Vector Databases Module Semantic Search with Pinecone and Custom (Case Study)/3. Getting to know the data for the case study.vtt 2.6 KB
01. Intro to AI Module Getting started/6. Weak vs Strong AI.vtt 2.6 KB
74. AI Ethics Module Ethical AI for End-Users Individuals/2. Ethical considerations in human-AI collaboration.vtt 2.6 KB
31. LLMs Module Getting Started With GPT Models/2. The development of ChatGPT.vtt 2.6 KB
11. Python Module Setting Up the Environment/7. Jupyter - Restarting the Kernel.vtt 2.6 KB
41. LangChain Module LangChain Expression Language (LCEL)/6. Graphing Runnables.vtt 2.6 KB
05. Intro to AI Module Understanding Generative AI/10. Buy vs Make foundation models vs private models.vtt 2.6 KB
18. Python Module Iteration/5. Iteration - While Loops and Incrementing.vtt 2.6 KB
76. AI Ethics Module Data and AI Regulatory Frameworks/3. United States AI regulation across states.vtt 2.6 KB
33. LLMs Module Question and Answer Models With BERT/4. BERT embeddings.vtt 2.5 KB
34. LLMs Module Text Classification With XLNet/6. Evaluating our model.vtt 2.5 KB
01. Intro to AI Module Getting started/5. Demystifying AI, Data science, Machine learning, and Deep learning.vtt 2.5 KB
21. NLP Module Text Preprocessing/7. Lemmatization.vtt 2.5 KB
06. Intro to AI Module Practical challenges in Generative AI/4. Running out of data.vtt 2.5 KB
70. AI Ethics Module Ethical Data Collection/5. Dealing with sensitive and protected information.vtt 2.5 KB
23. NLP Module Sentiment Analysis/1. What is sentiment analysis.vtt 2.5 KB
31. LLMs Module Getting Started With GPT Models/4. Generating text.vtt 2.4 KB
01. Intro to AI Module Getting started/3. Natural vs Artificial Intelligence.vtt 2.4 KB
50. Vector Databases Module Introduction to The Pinecone Vector Database/5. 3.3 Introduction to Pinecone.ipynb 2.4 KB
16. Python Module Functions/1. Functions - Defining a Function in Python.vtt 2.4 KB
63. LLM Engineering Module Planning stage/10. Concluding the Planning Stage.vtt 2.4 KB
14. Python Module More on Operators/1. Operators - Comparison Operators.vtt 2.3 KB
05. Intro to AI Module Understanding Generative AI/1. The rise of Gen AI Introducing ChatGPT.vtt 2.3 KB
64. LLM Engineering Module Crafting and Testing AI Prompts/1. Adding Funds to Your OpenAI API Account.html 2.2 KB
02. Intro to AI Module Data is essential for building AI/3. Labelled and unlabelled data.vtt 2.2 KB
37. LangChain Module Setting Up the Environment/2. Obtaining an OpenAI API key.vtt 2.2 KB
28. NLP Module The Future of NLP/3. Non-English NLP.vtt 2.2 KB
72. AI Ethics Module Ethical AI Deployment/6. Ongoing monitoring and risk mitigation for deployed AI.vtt 2.2 KB
21. NLP Module Text Preprocessing/1. The importance of data preparation.vtt 2.2 KB
42. LangChain Module Retrieval Augmented Generation (RAG)/7. 09 RAG 07.ipynb 2.2 KB
20. NLP Module Introduction/5. Supervised vs unsupervised NLP.vtt 2.2 KB
18. Python Module Iteration/16. Iteration - Conditional Statements, Functions, and Loops.vtt 2.1 KB
07. Intro to AI Module The AI tech stack/1. Python programming.vtt 2.1 KB
21. NLP Module Text Preprocessing/2. Lowercase.vtt 2.1 KB
25. NLP Module Topic Modelling/2. When to use topic modelling.vtt 2.0 KB
28. NLP Module The Future of NLP/2. Deep learning for NLP.vtt 2.0 KB
67. LLM Engineering Module Solving Real-World AI Challenges/1. Introduction.vtt 2.0 KB
66. LLM Engineering Module Developing the prototype/2. app1.py 2.0 KB
13. Python Module Basic Python Syntax/28. Basic Python Syntax - Indentation.vtt 2.0 KB
76. AI Ethics Module Data and AI Regulatory Frameworks/1. Global AI and data regulations.vtt 1.9 KB
28. NLP Module The Future of NLP/4. What's next for NLP.vtt 1.9 KB
24. NLP Module Vectorizing Text/1. Numerical representation of text.vtt 1.9 KB
02. Intro to AI Module Data is essential for building AI/1. Structured vs unstructured data.vtt 1.9 KB
20. NLP Module Introduction/3. Introduction to NLP.vtt 1.9 KB
16. Python Module Functions/7. Functions - Using a Function in Another Function.vtt 1.8 KB
70. AI Ethics Module Ethical Data Collection/3. Public data.vtt 1.8 KB
07. Intro to AI Module The AI tech stack/5. Hugging Face.vtt 1.8 KB
30. LLMs Module The Transformer Architecture/9. Predicting the final outputs.vtt 1.8 KB
02. Intro to AI Module Data is essential for building AI/4. Metadata Data that describes data.vtt 1.7 KB
13. Python Module Basic Python Syntax/20. Basic Python Syntax - Add Comments.vtt 1.7 KB
30. LLMs Module The Transformer Architecture/8. Masked multihead attention.vtt 1.6 KB
13. Python Module Basic Python Syntax/11. Basic Python Syntax - The Double Equality Sign.vtt 1.6 KB
22. NLP Module Identifying Parts of Speech and Named Entities/1. Text tagging.vtt 1.6 KB
56. Speech Recognition Module Technology Mechanics/8. Expanding beyond the tools we've covered.html 1.6 KB
25. NLP Module Topic Modelling/6. Latent Semantic Analysis (LSA).vtt 1.6 KB
67. LLM Engineering Module Solving Real-World AI Challenges/11. Conclusion.vtt 1.6 KB
13. Python Module Basic Python Syntax/24. Basic Python Syntax - Indexing Elements.vtt 1.5 KB
26. NLP Module Building Your Own Text Classifier/3. Naive Bayes.vtt 1.5 KB
07. Intro to AI Module The AI tech stack/2. Working with APIs.vtt 1.5 KB
06. Intro to AI Module Practical challenges in Generative AI/3. Latency.vtt 1.5 KB
31. LLMs Module Getting Started With GPT Models/1. What does GPT mean.vtt 1.5 KB
31. LLMs Module Getting Started With GPT Models/8. Introduction to LangChain in Python.vtt 1.4 KB
20. NLP Module Introduction/4. NLP in everyday life.vtt 1.4 KB
04. Intro to AI Module Important AI branches/3. Traditional ML.vtt 1.3 KB
25. NLP Module Topic Modelling/7. LSA in Python.vtt 1.3 KB
29. LLMs Module Introduction to Large Language Models/5. General purpose models.vtt 1.3 KB
33. LLMs Module Question and Answer Models With BERT/3. Loading the model and tokenizer.vtt 1.3 KB
32. LLMs Module Hugging Face Transformers/6. Saving and loading models.vtt 1.3 KB
16. Python Module Functions/11. Functions - Creating Functions Containing a Few Arguments.vtt 1.2 KB
30. LLMs Module The Transformer Architecture/4. The transformer architecture.vtt 1.2 KB
13. Python Module Basic Python Syntax/14. Basic Python Syntax - Reassign Values.vtt 1.2 KB
26. NLP Module Building Your Own Text Classifier/1. Building a custom text classifier.vtt 1.0 KB
13. Python Module Basic Python Syntax/22. Basic Python Syntax - Line Continuation.vtt 1.0 KB
65. LLM Engineering Module Getting to Know Streamlit/6. session_st_solution.py 713 bytes
51. Vector Databases Module Semantic Search with Pinecone and Custom (Case Study)/11. Assignment 2.html 459 bytes
29. LLMs Module Introduction to Large Language Models/2. Course materials and notebooks.html 449 bytes
51. Vector Databases Module Semantic Search with Pinecone and Custom (Case Study)/14. Assignment 3.html 448 bytes
20. NLP Module Introduction/2. Course materials and notebooks.html 443 bytes
50. Vector Databases Module Introduction to The Pinecone Vector Database/4. Assignment.html 392 bytes
34. LLMs Module Text Classification With XLNet/2. A note on the following lecture.html 381 bytes
58. Speech Recognition Module Transcribing Audio with Google Web Speech API/5. ground_truth.txt 373 bytes
21. NLP Module Text Preprocessing/9. A note on the practical task.html 260 bytes
23. NLP Module Sentiment Analysis/4. A note on the practical task.html 254 bytes
27. NLP Module Categorizing Fake News (Case Study)/1. A note on the case study.html 249 bytes
25. NLP Module Topic Modelling/4. A note on the following lesson.html 248 bytes
22. NLP Module Identifying Parts of Speech and Named Entities/4. A note on the practical task.html 243 bytes
52. Speech Recognition Module Introduction/2. Module Resources.html 154 bytes
33. LLMs Module Question and Answer Models With BERT/3. Question-and-answer-models-with-BERT.txt 146 bytes
26. NLP Module Building Your Own Text Classifier/2. Building-a-Custom-Classifier.txt 137 bytes
26. NLP Module Building Your Own Text Classifier/3. Building-a-Custom-Classifier.txt 137 bytes
26. NLP Module Building Your Own Text Classifier/4. Building-a-Custom-Classifier.txt 137 bytes
23. NLP Module Sentiment Analysis/3. 4.3-Pre-trained-Transformer-Models.txt 136 bytes
34. LLMs Module Text Classification With XLNet/3. Text-classification-with-XLNET.txt 136 bytes
35. LangChain Module Introduction/2. Course materials and notebooks.html 134 bytes
48. Vector Databases Module Introduction/2. Course materials and notebooks.html 128 bytes
23. NLP Module Sentiment Analysis/2. 4.2-Rule-based-Sentiment-Analysis.txt 127 bytes
32. LLMs Module Hugging Face Transformers/2. HuggingFace-Transformers.txt 126 bytes
21. NLP Module Text Preprocessing/4. 2.4-Regular-Expressions.txt 124 bytes
21. NLP Module Text Preprocessing/4. Text-for-the-customer-reviews-variable.txt 124 bytes
33. LLMs Module Question and Answer Models With BERT/4. Text-for-the-answer-document-variable.txt 124 bytes
33. LLMs Module Question and Answer Models With BERT/6. Text-for-the-sunset-motors-context-variable.txt 124 bytes
24. NLP Module Vectorizing Text/3. 5.3-TF-IDF.txt 123 bytes
31. LLMs Module Getting Started With GPT Models/6. Text-for-the-messages-and-prompt-variables.txt 123 bytes
31. LLMs Module Getting Started With GPT Models/7. Text-for-the-messages-variable.txt 123 bytes
26. NLP Module Building Your Own Text Classifier/2. Text-for-the-data-variable.txt 121 bytes
21. NLP Module Text Preprocessing/5. 2.5-Tokenizing-Text.txt 120 bytes
23. NLP Module Sentiment Analysis/5. 4.4-Practical-Task.txt 119 bytes
24. NLP Module Vectorizing Text/2. 5.2-Bag-of-Words.txt 119 bytes
21. NLP Module Text Preprocessing/7. 2.7-Lemmatization.txt 116 bytes
22. NLP Module Identifying Parts of Speech and Named Entities/2. 3.2-Parts-of-Speech-POS-Tagging.txt 116 bytes
22. NLP Module Identifying Parts of Speech and Named Entities/2. Text-for-the-emma-ja-variable.txt 116 bytes
24. NLP Module Vectorizing Text/2. Text-for-the-data-variable.txt 115 bytes
21. NLP Module Text Preprocessing/10. 2.9-Practical.txt 112 bytes
21. NLP Module Text Preprocessing/2. 2.2-Lowercase.txt 112 bytes
21. NLP Module Text Preprocessing/3. 2.3-Stopwords.txt 112 bytes
22. NLP Module Identifying Parts of Speech and Named Entities/5. 3.4-Practical-task.txt 112 bytes
31. LLMs Module Getting Started With GPT Models/3. GPT-Models.txt 112 bytes
21. NLP Module Text Preprocessing/6. 2.6-Stemming.txt 111 bytes
21. NLP Module Text Preprocessing/8. 2.8-N-grams.txt 110 bytes
27. NLP Module Categorizing Fake News (Case Study)/3. Practical.txt 110 bytes
22. NLP Module Identifying Parts of Speech and Named Entities/3. Text-for-the-google-text-variable.txt 108 bytes
22. NLP Module Identifying Parts of Speech and Named Entities/3. 3.3-Named-Entity-Recognition.txt 106 bytes
25. NLP Module Topic Modelling/5. 6.4-LDA.txt 106 bytes
25. NLP Module Topic Modelling/7. 6.6-LSA.txt 106 bytes
25. NLP Module Topic Modelling/8. 6.6-LSA.txt 106 bytes
01. Intro to AI Module Getting started/1. Intro-to-AI-Flashcards.txt 75 bytes
01. Intro to AI Module Getting started/2. Intro-to-AI-Flashcards.txt 75 bytes
01. Intro to AI Module Getting started/3. Intro-to-AI-Flashcards.txt 75 bytes

Udemy - The AI Engineer Course 2025 Complete AI Engineer Bootcamp (8.2025)

File List

Download Torrent

Related Resources

Copyright Infringement