LangChain- Agentic AI Engineering with LangChain & LangGraph

About this course

This course contains the use of artificial intelligence :)2026- COURSE WAS RE-RECORDED and supports- LangChain Version 1.2+Ideal students are software developers / data scientists / AI/ML Engineers

Welcome to the Agentic AI Engineering with LangChain and LangGraph course.

In this course you will learn how to design and build AI agents and agentic AI systems using LangChain and LangGraph, the most powerful frameworks for developing modern LLM applications.

Agentic AI Engineering focuses on building AI systems that can reason, plan, use tools, and autonomously complete tasks. With LangChain and LangGraph, you will build production-ready AI agents, RAG systems, and advanced LLM applications.

What is LangChain?

LangChain is an open-source development framework designed to simplify creating applications powered by large language models (LLMs).

Using LangChain, LangGraph, MCP, and modern LLM frameworks, you will build production-ready AI agents, multi-agent systems, and advanced RAG applications.

Please note that this is not a course for beginners. This course assumes that you have a background in software engineering and are proficient in Python. I will be using Pycharm IDE but you can use any editor you'd like since we only use basic feature of the IDE like debugging and running scripts .You will build real-world Agentic AI systems using LangChain and LangGraph:

Search AgentDocumentation Helper – A chatbot over Python package docs (and any data you choose), using advanced retrieval and RAG.Prompt Engineering Theory Context Engineering TheoryI

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