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A long, beginner-friendly LangChain tutorial. It opens with the difference between AI agents and agentic AI, then covers setup, the OpenAI API and LangChain's building blocks in a deliberate order.
Expect a big time commitment. The final chapter begins at the five-hour mark, so plan the viewing across several sittings. Notes and code are linked from the description, which helps when you return to a section later.
Langchain Tutorial | Langchain Crash Course | Build AI Gents With Langchain
What you will learn?
This is a complete LangChain course that covers everything from scratch, making it beginner-friendly as well. It’s a one-stop solution for anyone who wants to master LangChain and build AI agents.
Timestamps:
1:29 Course Agenda
8:58 AI Agents VS Agentic AI
33:44 Langchain Under The Hood
40:39 Softwares Installation
45:08 Environment Setup
54:56 Openai APIs
1:17:18 Messages In Langchain
1:38:24 Prompts Templates Functions
1:54:59 Pydantic & TypedDict For Structured Output
2:26:55 Chains In Langchain
3:02:25 Parallel Chains In Langchain
3:34:05 Conditional Chains In Langchain
3:55:21 ReAct Agent Framework
4:12:26 ReAct Agent In Langchain With Streams
4:42:12 SQL ReAct Agent
5:06:21 RAG Fundamentals
Notes & Code Repository
https://github.com/anshlambagit/Langchain_Tutorial
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⭐Hashtags⭐
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