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LangChain Framework for Beginners – Build AI Systems + RAG (Udemy.com)

Learn LangChain 1.0 Typescript with AI Agents, Tools, RAG Pipelines, Agentic RAG, MCP Integration, LangGraph Deployment

Created by: Rahul Shetty Academy

Last updated January 2026

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What you will learn

  • Build AI Agents with LangChain using tools, memory, prompts, and multi-model configurations.
  • Create custom tools with Zod validation and enable LLMs to choose and execute tools intelligently.
  • Implement dynamic system prompts, middleware, and context injection for accurate agent responses.
  • Design complete RAG pipelines using embeddings, vector stores, similarity search, and document loaders.
  • Integrate LangChain Agents with external APIs, databases, and MCP servers for real-world automation.
  • Deploy production-ready LangGraph agent servers with environment setup, tracing, and safety guardrails.

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Quality Score

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Overall Score : 94 / 100

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Course Description

If you’ve been hearing words like “AI Agents”, “LangChain”, or “RAG” everywhere and wondering how people are building smart AI apps that can search data, answer questions, or take actions on their own — you’re in the right place.

This beginner-friendly course will show you how to build real AI applications from scratch, even if you have never worked with AI before.

Most people only use ChatGPT to write text…
But companies today are building applications that can think, read, search, decide, and act automatically.

These applications are powered by LangChain — the leading framework for building AI-powered software.

In this course, you will learn how to:

  • Build simple AI apps that actually do useful tasks

  • Make an AI use tools (like checking the weather or sending an email)

  • Let an AI read documents and give answers based on your data

  • Organize information so the AI can “remember” things

  • Build small automation systems that can save time and effort

We will start from zero, explain every concept in plain English, and build everything step-by-step together.

By the end of the course, you will be able to build your own AI apps that can be used for:

  • Personal projects

  • Business automation

  • Customer support

  • Data lookup

  • Testing and QA

  • Real-world workflows

No complex math
No advanced AI background
No prior LangChain knowledge required.

Just practical learning, short lessons, real projects, and the confidence to build your own AI applications.

If you want simple, hands-on learning that focuses on doing — not theory — this course is perfect for you.

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Instructor Details

Rahul Shetty Academy

"Nothing is Impossible. It all depends on how we are Trained on it."

"Teaching is my Passion. And it's my Profession. The only Business I know is Spreading Knowledge."

I'm Rahul Shetty (aka- Venkatesh), a QA instructor with a 15-year track record. Over 1 Million QA professionals from 195 countries have taken my courses on Selenium, Playwright, AI Testing, Software Testing (Jira), API Testing, Cypress, Postman, Appium, JMeter, and more..."

I lead top QA initiatives both online and offline — through Rahul Shetty Academy, one of the leading EdTech platforms for QA training; QASummit, a premier offline conference brand; and RS TekSolutions, my software consulting firm. Together, these ventures have helped hundreds of thousands of students master testing and automation, transforming their careers as Automation Engineers


"Many QA professionals aspire to learn cutting-edge automation, but 90% abandon their goals. It's not a lack of courses, but finding the right mentor who understands the QA mindset and tailors their teaching accordingly."

"As a QA engineer with nearly two decades of experience, I get it. I've built my courses strategically, focusing on practical skills and career growth. I believe I've cracked the code for teaching automation testing, and I'm thrilled to share it with you."

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Reviews

4.7

241 ratings on Udemy

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By Arsh Angel on 7/12/2026

Your explanation is very good not like other instructors just copying and pasting the code and just reading console results.

By Sanath G on 7/1/2026

The overall course was excellent and topics were clearly explained

By Subha Saroja Ragavendran on 6/11/2026

This is a great start to gets hand dirty for langchain and langgraph. Very Interesting course for learning AI Agents

By Franco Galfré on 5/14/2026

Buen curso para introducirse en LangChain, aunque algunas partes quedaron un poco desactualizadas y podría tener más profundidad en ciertos temas. Lo fui complementando con la documentación oficial y ahí noté varias diferencias. Aun así, es una buena base para empezar.

By Maneesha Pandey on 3/30/2026

The instructor is very good—he explains everything with code, which is the key strength of this course.

By Lukasz Piotr Pater on 2/18/2026

It’s an excellent course! The instructor is truly outstanding, very engaging and genuinely enthusiastic, which makes the whole experience even more enjoyable.

By Satish Ekele on 1/29/2026

Very good course and with practical implementation. Really learning out of it. Its interesting to learn step by step. Your way of defining problem and providing its solution is really awesome.

By Srushti B on 12/8/2025

This course does a great job of translating LangChain concepts into something you can actually use. The instructor keeps the flow tight and practical, and each section builds toward a real understanding of how to structure AI applications end-to-end. I came out with much more clarity on how to design and connect different components in a LangChain project. If you want a beginner-friendly course that still feels grounded in real development work, this is a solid choice.

By Bhumija Kumari on 12/8/2025

“Honestly, I went into this course just trying to understand how people are building real RAG apps with LangChain, and this course delivered exactly that. The instructor keeps things practical — no unnecessary jargon — and walks you through building stuff that actually works end-to-end. I finally understood how embeddings, vector stores, and agents fit together in a real project. If you already know a bit of TypeScript, this feels like a smooth ramp-up. If not, you’ll have a bit of a learning curve. Overall, this is the first LangChain course that actually helped me build things I can reuse in my own projects.

By Naseema Mariyam on 12/7/2025

This LangChain course is a fantastic resource for anyone eager to build real AI applications beyond simple chatbots. It breaks down complex concepts like AI Agents, RAG, MCP, and vector stores into clear, practical lessons with hands-on demos. The step-by-step approach makes it easy to follow, even for beginners. By the end, you'll confidently create powerful AI systems ready for deployment. Highly recommended for developers and AI enthusiasts looking to deepen their skills!

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