Udemy - AI & LLM Engineering Mastery GenAI, RAG Complete Guide (2.2025)

• 19. HANDS-ON - Building LLM Applications with LangChain/9. Voice Assistant RAG System - Walkthrough and Demo.mp4-239.77 MB
• 20. Advanced RAG Techniques - Naive vs Advanced RAG Techniques/13. Hands-on - Re-ranking Implementation with Cohere - Full Implementation.mp4-222.7 MB
• 23. Fine-tuning LLMs/7. HANDS-ON - Fine-tuning an OpenAI Model - Full Walkthrough.mp4-205.27 MB
• 15. Vector Databases and Embeddings - Deep Dive/4. Why Vector Databases.mp4-204.3 MB
• 19. HANDS-ON - Building LLM Applications with LangChain/2. News Summarizer - Full Implementation.mp4-200.53 MB
• 20. Advanced RAG Techniques - Naive vs Advanced RAG Techniques/7. Hands-on- Setting up the Workflow and Code Walkthrough.mp4-194.04 MB
• 18. LLM Tools and Frameworks - LangChain Deep Dive/14. Hands-on Full RAG System QA Bot Using LangChain.mp4-177.79 MB
• 12. Context & Memory Management for LLMs - Deep Dive/3. HANDS-ON - Adding Memory and Context to Chatbox.mp4-170.42 MB
• 13. Logging in LLM Applications - Deep Dive/3. HANDS-ON - Chatbot with Logging.mp4-169.33 MB
• 15. Vector Databases and Embeddings - Deep Dive/7. Vector Databases & Embeddings - Full Overview.mp4-158.06 MB
• 21. Multimodal RAG - Deep Dive/4. Multimodal RAG - Overview & Motivation and Benefits - How it Works.mp4-153.85 MB
• 19. HANDS-ON - Building LLM Applications with LangChain/5. Youtube Video Summarizer Class Setup and Walkthrough.mp4-149.2 MB
• 12. Context & Memory Management for LLMs - Deep Dive/2. What is Context and Memory Management - Deep Dive.mp4-143.84 MB
• 16. HANDS-ON - RAG PDF Workflow - Build RAG Workflows Deep Dive/4. HANDS-ON - Building and Showcasing the RAG Workflow.mp4-143.05 MB
• 15. Vector Databases and Embeddings - Deep Dive/12. The Top 5 Vector Databases - Overview.mp4-142.55 MB
• 22. AI Agents & Agentic Workflows - Deep Dive/26. Adding Nodes and Edges and Running our Agent.mp4-140.82 MB
• 24. Fine-Tuning Technique - LoRA Deep Dive/4. Hands-on - Training Models - LoRA and PEFT.mp4-136.12 MB
• 08. LLMs (Large Language Models) - Fundamentals - A Deep Dive/5. HANDS-ON - Create a Simple LLM from the Transformers Library - Simple.mp4-135.86 MB
• 05. OPTIONAL - Python Deep Dive - Master Python Fundamentals/72. Building an Image Watermarker in Python - Part 1.mp4-130.31 MB
• 22. AI Agents & Agentic Workflows - Deep Dive/1. AI Agents Deep Dive - A Full Overview.mp4-127.33 MB
• 15. Vector Databases and Embeddings - Deep Dive/15. Chroma Database workflow.mp4-126.82 MB
• 23. Fine-tuning LLMs/2. Fine-tuning Techniques - Overview.mp4-121.43 MB
• 05. OPTIONAL - Python Deep Dive - Master Python Fundamentals/77. Plotting a Graph with CSV Data.mp4-118.53 MB
• 22. AI Agents & Agentic Workflows - Deep Dive/25. Creating All Nodes - Functions.mp4-116.83 MB
• 17. HANDS-ON - Build a PDF RAG System with Text Chunking/4. Testing the PDF RAG System.mp4-116.4 MB
• 22. AI Agents & Agentic Workflows - Deep Dive/5. Build our First AI Agent - Creating the Agent Class and Prompt.mp4-113.83 MB
• 19. HANDS-ON - Building LLM Applications with LangChain/6. Youtube Video Summarizer Q&A - Testing the Workflow.mp4-113.7 MB
• 11. Ollama & Open-Source Models - Complete Guide/3. Ollama Deep Dive - Ollama Overview - What is Ollama and Advantages.mp4-112.36 MB
• 05. OPTIONAL - Python Deep Dive - Master Python Fundamentals/73. Generating the Watermarked Images.mp4-112.25 MB
• 22. AI Agents & Agentic Workflows - Deep Dive/7. Passing Complex Queries Through the Agent.mp4-111.12 MB
• 17. HANDS-ON - Build a PDF RAG System with Text Chunking/3. Setting up the SimpleRAGSystem Class and Methods.mp4-110.64 MB
• 15. Vector Databases and Embeddings - Deep Dive/6. Traditional vs. Vector Databases - Limitations and challenges.mp4-110.47 MB
• 06. Deep and Machine Learning Deep Dive/2. Deep Learning Key Aspects.mp4-109.43 MB
• 20. Advanced RAG Techniques - Naive vs Advanced RAG Techniques/3. Deep Dive into Each Naive RAG Drawbacks.mp4-107.01 MB
• 22. AI Agents & Agentic Workflows - Deep Dive/20. Adding Memory to Our Agent State.mp4-106.65 MB
• 22. AI Agents & Agentic Workflows - Deep Dive/15. Building a Simple Agent with LangChain.mp4-106.38 MB
• 21. Multimodal RAG - Deep Dive/9. Finish the Multimodal Search System.mp4-104.11 MB
• 11. Ollama & Open-Source Models - Complete Guide/8. Ollama Model Parameters Deep Dive.mp4-103.76 MB
• 22. AI Agents & Agentic Workflows - Deep Dive/8. First Agent - Using a Loop to Automate our Agent.mp4-102.85 MB
• 05. OPTIONAL - Python Deep Dive - Master Python Fundamentals/68. Hands-on - File Organizer.mp4-102.59 MB
• 06. Deep and Machine Learning Deep Dive/3. Deep Neural Network Dissection - Full Dive with Analogies.mp4-101.4 MB
• 15. Vector Databases and Embeddings - Deep Dive/10. Vector Databases Use Cases.mp4-101 MB
• 17. HANDS-ON - Build a PDF RAG System with Text Chunking/2. PDF and Chunk Processing and Chunk Overlap - Deep Dive.mp4-100.57 MB
• 06. Deep and Machine Learning Deep Dive/1. Deep and Machine Learning Deep Dive - Overview and Breakdown.mp4-100.54 MB
• 15. Vector Databases and Embeddings - Deep Dive/21. Using OpenAIs Embedding API to Create Embedding in ChromaDB.mp4-97.23 MB
• 12. Context & Memory Management for LLMs - Deep Dive/1. HANDS-ON - Context and Memory Management Overview.mp4-97.13 MB
• 22. AI Agents & Agentic Workflows - Deep Dive/27. Adding a GUI to the Agent with Streamlit.mp4-96.31 MB
• 22. AI Agents & Agentic Workflows - Deep Dive/11. LangGraph - Overview & Key Concepts.mp4-96.13 MB
• 18. LLM Tools and Frameworks - LangChain Deep Dive/8. Hands-on Embeddings and Retriever with FAISS VectorStore.mp4-94.16 MB
• 08. LLMs (Large Language Models) - Fundamentals - A Deep Dive/6. HANDS-ON - Hands-on Enhanced Transformers LLM.mp4-93.74 MB