LangChain- Agentic AI Engineering with LangChain & LangGraph — 93% OFF Discount Coupon

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

★4.6 out of 5
174,816 students
Created by Eden Marco
English
Updated May 2026

Quick Facts — Course Summary

Here's a quick overview of everything you need to know about LangChain- Agentic AI Engineering with LangChain & LangGraph before you enroll:

•Course Name: LangChain- Agentic AI Engineering with LangChain & LangGraph
•Platform: Udemy
•Instructor: Eden Marco
•Coupon Last Verified: May 6, 2026
•Level: All Levels
•Topic: Development
•Subtopic: LangChain
•Total Time: 18h of video content
•Language: English
•Access Type: Unlimited lifetime access + updates
•Certificate: Included upon completion from Udemy
•Main Skills: 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
•Requirements: This is not a beginner course. Basic software engineering concepts are needed · I assume students will be familiar software engineering subjects such as: git, python, pipenv, environment variables, classes, testing and debugging
•Current Price: $13.99 (was $199.99). You save $186.00 with 93% discount.
•How to Apply: Click the coupon button to activate your discount automatically
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Skills You'll Master

By the end of LangChain- Agentic AI Engineering with LangChain & LangGraph, you'll have these practical skills:

✓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.

What You Need Before Starting

Before enrolling in LangChain- Agentic AI Engineering with LangChain & LangGraph, make sure you have:

•This is not a beginner course. Basic software engineering concepts are needed
•I assume students will be familiar software engineering subjects such as: git, python, pipenv, environment variables, classes, testing and debugging
•No Machine Learning experience is needed.

About This Udemy Course

The following is the full official course description for LangChain- Agentic AI Engineering with LangChain & LangGraph as published on Udemy by instructor Eden Marco:

This course contains the use of artificial intelligence 

20206- COURSE WAS RE-RECORDED and supports- LangChain Version 1.2+

Ideal students are software developers / data scientists / AI/ML Engineers

Welcome to the AI Agents with LangChain and LangGraph Udemy course - Unleashing the Power of Agentic AI!
This  course is designed to teach you how to QUICKLY harness AI Engineering, Agent Engineering with the power the LangChain & LangGraph libraries for LLM applications and Agentic AI.
This course will equip you with the skills and knowledge necessary to develop cutting-edge LLM solutions for a diverse range of topics.

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 .

What You’ll Build:  No fluff. No toy examples. You’ll build:
  • Search Agent
  • Documentation Helper – A chatbot over Python package docs (and any data you choose), using advanced retrieval and RAG.
  • Prompt Engineering Theory
  • Context Engineering Theory
  • Introduction to LangGraph
  • Model Context Protocol (MCP)
  • Deep Agents

The topics covered in this course include:
  • AI Agents
  • Agentic AI
  • AI Engineering
  • LangChain, LangGraph
  • LLM + GenAI History
  • Prompt Engineering: Few shots prompting, Chain of Thought, ReAct prompting
  • Context Engineering
  • Chat Models
  • Open Source Models
  • Prompts, PromptTemplates, langchainub
  • Output Parsers, Pydantic Output Parsers
  • Chains: create_retrieval_chain, create_stuff_documents_chain
  • Agents, Custom Agents, Python Agents, CSV Agents, Agent Routers
  • OpenAI Functions, Tool Calling
  • Tools, Toolkits
  • Memory
  • Vectorstores (Pinecone, FAISS, Chroma)
  • RAG (Retrieval Augmentation Generation)
  • DocumentLoaders, TextSplitters
  • Streamlit (for UI), Copilotkit
  • LCEL
  • Agent tracing with LangSmith
  • Cursor IDE 
  • MCP - Model Context Protocol & LangChain Ecosystem
  • Introduction To LangGraph
  • Deep Agents
  • ReAct

Throughout the course, you will work on hands-on exercises and real-world projects to reinforce your understanding of the concepts and techniques covered. By the end of the course, you will be proficient in using LangChain to create powerful, efficient, and versatile LLM applications for a wide array of usages.

Why This Course?
  • Up-to-date: Covers LangChain V.1+ and the latest LangGraph ecosystem.
  • Practical: Real projects, real APIs, real-world skills.
  • Career-boosting: Stay ahead in the LLM and GenAI job market.
  • Step-by-step guidance: Clear, concise, no wasted time.
  • Flexible: Use any Python IDE (Pycharm shown, but not required).

DISCLAIMERS

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.

Compare Similar Courses

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Is the LangChain- Agentic AI Engineering with LangChain & LangGraph Coupon Worth It?

Expert review by Andrew Derek, Lead Course Analyst at CoursesWyn.•Last updated: May 6, 2026.

Based on analysis of the curriculum structure, student engagement metrics, and verified rating data, LangChain- Agentic AI Engineering with LangChain & LangGraph is a high-value resource for learners seeking to build skills inDevelopment. Taught by Eden Marco on Udemy, the 18h course provides a structured progression from foundational concepts to advanced techniques— making it suitable for learners at all levels. The current coupon reduces the price by 93%, from $199.99 to $13.99, removing the primary financial barrier to enrollment.

✓What We Like (Pros)

  • Verified 93% price reduction makes this course accessible to learners on any budget.
  • Aggregate student rating of 4.6 out of 5 indicates high learner satisfaction.
  • Strong enrollment base with over 174,816 students demonstrates course popularity and trust.
  • Includes an official Udemy completion certificate and lifetime access to all future content updates.

!Keep in Mind (Cons)

The following limitations should be considered before enrolling in LangChain- Agentic AI Engineering with LangChain & LangGraph:

  • The depth of Development coverage may be challenging for absolute beginners without the listed prerequisites.
  • Lifetime access is contingent on the continued operation of the Udemy platform.
  • Hands-on projects and quizzes require additional time investment beyond video watch time.
Final Verdict: Worth It
This course offers exceptional value with current pricing
✓

Course Rating Summary

LangChain- Agentic AI Engineering with LangChain & LangGraph Course holds an aggregate rating of 4.6 out of 5 based on 174,816 student reviews on Udemy.

4.6
★★★★★
174,816 Verified Ratings
5 stars
75%
4 stars
15%
3 stars
6%
2 stars
2%
1 star
2%

* Rating distribution is approximated from the aggregate score. Sourced from Udemy.

Instructor Profile

The following section provides background information on Eden Marco, the instructor responsible for creating and maintaining LangChain- Agentic AI Engineering with LangChain & LangGraph on Udemy.

LangChain- Agentic AI Engineering with LangChain & LangGraph is taught by Eden Marco, a Udemy instructor specializing in Development. For the full instructor biography, professional credentials, and a complete list of their courses, visit the official instructor profile on Udemy.

•Instructor Name: Eden Marco
•Subject Area: Development
•Teaching Approach: Practical, project-based instruction focused on real-world application of Development skills.

Frequently Asked Questions

The following questions and answers cover the most common queries about LangChain- Agentic AI Engineering with LangChain & LangGraph, its coupon code, pricing, and enrollment process.

About the Author

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Andrew Derek

Lead Course Analyst at CoursesWyn with 8+ years of experience evaluating online learning platforms. I've analyzed 500+ Udemy courses and helped thousands of learners choose the right courses for their career goals.

⭐4.8/5 Rating
✓Trusted by 10K+ Students

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