The Complete Generative AI and Python Programming Bootcamp

• 23. Project Research Agent with LangGraph, GPT-4o, RAG, Pinecone, ArXiv, SerpAPI/3. Extracting Data from ArXiv with Pandas.mp4-150.37 MB
• 16. Diving into OpenAI API with Python/14. Generating Original Images Using DALL-E 3.mp4-132.59 MB
• 19. Diving into LangChain with OpenAI and Gemini/13. LangChain Tools DuckDuckGo and Wikipedia.mp4-118.88 MB
• 19. Diving into LangChain with OpenAI and Gemini/14. Creating a ReAct Agent.mp4-114.33 MB
• 16. Diving into OpenAI API with Python/8. Chat Completions API Parameters top_p, max_tokens, frequency penalty.mp4-111.56 MB
• 19. Diving into LangChain with OpenAI and Gemini/12. Multimodal AI Using Images as Input.mp4-110.99 MB
• 21. Project RAG - Q&A Application on Your Private Documents (Pinecone and Chroma)/10. Embedding and Uploading to a Vector Database (Pinecone).mp4-109.67 MB
• 21. Project RAG - Q&A Application on Your Private Documents (Pinecone and Chroma)/11. Asking and Getting Answers.mp4-108.67 MB
• 13. Jupyter Notebook, Google Colab and Virtual Environments/1. Setting Up Jupyter Notebook and Virtual Environments with venv.mp4-102.53 MB
• 17. Prompt Engineering for GenAI/5. Tactic #4 Apply Few-Shot Prompting.mp4-101.86 MB
• 22. Diving into LangGraph/5. Tavily AI.mp4-101.37 MB
• 23. Project Research Agent with LangGraph, GPT-4o, RAG, Pinecone, ArXiv, SerpAPI/22. Wrapping Up.mp4-99.18 MB
• 22. Diving into LangGraph/6. Enhancing the ChatBot with Tools.mp4-97.9 MB
• 10. Object-Oriented Programming (OOP) Essentials/2. OOP Demonstration The Turtle.mp4-94.93 MB
• 23. Project Research Agent with LangGraph, GPT-4o, RAG, Pinecone, ArXiv, SerpAPI/20. Generating Reports.mp4-94.79 MB
• 23. Project Research Agent with LangGraph, GPT-4o, RAG, Pinecone, ArXiv, SerpAPI/5. Prepping Data Loading, Splitting, and Expanding.mp4-94.46 MB
• 17. Prompt Engineering for GenAI/3. Tactic #2 Provide Detailed Instructions for Context, Outcome, or Length.mp4-93.9 MB
• 15. Introduction to LLMs, APIs and GenAI Libraries/7. The State of AI Present and Future – The Good and the Bad.mp4-93.55 MB
• 15. Introduction to LLMs, APIs and GenAI Libraries/4. Exploring LLM APIs AI as a Service.mp4-92.14 MB
• 16. Diving into OpenAI API with Python/1. Authenticating to OpenAI using Python Dotenv.mp4-91.89 MB
• 23. Project Research Agent with LangGraph, GPT-4o, RAG, Pinecone, ArXiv, SerpAPI/17. Building a Decision-Making Pipeline.mp4-90.13 MB
• 21. Project RAG - Q&A Application on Your Private Documents (Pinecone and Chroma)/14. Using a Custom Prompt.mp4-89.77 MB
• 21. Project RAG - Q&A Application on Your Private Documents (Pinecone and Chroma)/13. Adding Memory to the RAG System (Chat History).mp4-89.59 MB
• 18. Diving into Google’s Gemini/6. Gemini API Generation Parameters Explained.mp4-88.54 MB
• 21. Project RAG - Q&A Application on Your Private Documents (Pinecone and Chroma)/12. Using Chroma as a Vector DB.mp4-88.54 MB
• 18. Diving into Google’s Gemini/1. Setting Up the Python SDK and Authenticating for Gemini API.mp4-86.98 MB
• 18. Diving into Google’s Gemini/7. Building Chat Conversations.mp4-86.91 MB
• 16. Diving into OpenAI API with Python/11. Transcriptions with Whisper.mp4-86.62 MB
• 22. Diving into LangGraph/7. Adding Memory to the ChatBot.mp4-84.43 MB
• 18. Diving into Google’s Gemini/10. The File API Prompting with Media Files.mp4-83.13 MB
• 17. Prompt Engineering for GenAI/4. Tactic #3 Use the RTF (Role-Task-Format) Structure.mp4-82.21 MB
• 23. Project Research Agent with LangGraph, GPT-4o, RAG, Pinecone, ArXiv, SerpAPI/10. Implementing the ArXiv Fetch Tool.mp4-81.48 MB
• 19. Diving into LangChain with OpenAI and Gemini/8. Understanding Chains.mp4-79.71 MB
• 19. Diving into LangChain with OpenAI and Gemini/1. LangChain Demo.mp4-79.62 MB
• 19. Diving into LangChain with OpenAI and Gemini/3. Working with the OpenAI Models.mp4-78.01 MB
• 23. Project Research Agent with LangGraph, GPT-4o, RAG, Pinecone, ArXiv, SerpAPI/7. Creating a Pinecone Index.mp4-76.9 MB
• 14. Essential Python Libraries for GenAI Requests & Pandas/3. Managing HTTP Authentication and Headers (OpenAI API).mp4-76.7 MB
• 23. Project Research Agent with LangGraph, GPT-4o, RAG, Pinecone, ArXiv, SerpAPI/15. Initializing the Oracle LLM.mp4-74.18 MB
• 21. Project RAG - Q&A Application on Your Private Documents (Pinecone and Chroma)/6. Intro to Vector Stores and Authenticating to Pinecone.mp4-73.87 MB
• 15. Introduction to LLMs, APIs and GenAI Libraries/2. Foundations of LLMs and GenAI.mp4-72.51 MB
• 16. Diving into OpenAI API with Python/7. Chat Completions API Parameters Temperature and Seed.mp4-70.7 MB
• 16. Diving into OpenAI API with Python/5. Using Local Base64 Images as Input.mp4-69.79 MB
• 16. Diving into OpenAI API with Python/9. AI That Thinks Diving into OpenAI’s Reasoning Models (o1 and o3).mp4-68.43 MB
• 19. Diving into LangChain with OpenAI and Gemini/15. Testing the ReAct Agent.mp4-67.74 MB
• 18. Diving into Google’s Gemini/5. Gemini API Generation Parameters Controlling How the Model Generates Responses.mp4-67.12 MB
• 10. Object-Oriented Programming (OOP) Essentials/8. Magic Methods.mp4-67.11 MB
• 23. Project Research Agent with LangGraph, GPT-4o, RAG, Pinecone, ArXiv, SerpAPI/21. Building the Final Research Report.mp4-67.03 MB
• 09. Errors, Exception Handling, and Debugging/3. Built-in Exceptions and Best Practices.mp4-67.01 MB
• 18. Diving into Google’s Gemini/11. Tokens in Gemini API.mp4-66.51 MB
• 17. Prompt Engineering for GenAI/8. Other Tactics and Principles for Better Prompting.mp4-65.91 MB