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00:00 - Introduction to AI Agents
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Classroom Contents
AI Agents Fundamentals - LLMs, LangChain, RAG, and Vector Databases
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- 1 00:00 - Introduction to AI Agents
- 2 00:40 - How LLMs work in real time?
- 3 04:56 - Embeddings & Vector Representations
- 4 05:56 - How LangChain works?
- 5 10:12 - Practice Labs - Your First AI API Call
- 6 14:57 - Practice Labs - LangChain
- 7 17:57 - Prompt Engineering Techniques
- 8 21:21 - Practice Labs - Master Prompt Engineering
- 9 24:46 - Vector Databases Deep Dive
- 10 31:27 - Practice Labs - Build Semantic Search Engine
- 11 35:15 - RAG Retrieval Augmented Generation
- 12 38:14 - Practice Labs - RAG Implementation
- 13 42:14 - LangGraph for AI Workflows
- 14 45:51 - Practice Labs - Build Stateful AI Workflow
- 15 48:51 - Model Context Protocol MCP
- 16 51:56 - Practice Labs - Advanced MCP Concepts
- 17 55:21 - Conclusion
