آموزش مهندسی Agentic AI با LangChain و LangGraph

عنوان دوره : Udemy – LangChain- Agentic AI Engineering with LangChain & LangGraph

سطح : متوسط

زمان کل دوره : 19.11 ساعت

تعداد فایل ها : 179

سال آموزش : 2026

فایل تمرینی : ندارد

مربی دوره : Eden Marco

نرم افزار : –

زیرنویس انگلیسی : دارد

Udemy – LangChain- Agentic AI Engineering with LangChain & LangGraph

Build AI Agents with LangChain and LangGraph RAG, Tools, MCP and Production-Ready Agentic AI Systems (Python)

What you’ll learn

Become proficient in LangChain
Have end to end working LangChain based generative AI agents
Prompt Engineering Theory: Chain of Thought, ReAct, Few Shot prompting and understand how LangChain is build under the hood
Context Engineering
Understand how to navigate inside the LangChain opensource codebase
Large Language Models theory for software engineers
LangChain: Lots of chains Chains, Agents, DocumentLoader, TextSplitter, OutputParser, Memory
RAG, Vectorestores/ Vector Databases (Pinecone, FAISS)
Model Context Protocol (MCP)
LangGraph

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