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Zero to Hero in LangChain: Build GenAI apps using LangChain (Udemy.com)

Learn all features of LangChain & build Generative AI applications with Memory, RAG, Tools, Agents etc. using LangChain

Created by: Start-Tech Academy

Last updated April 2026

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What you will learn

  • Discover the core principles of LangChain and its application in building Generative AI models
  • Master the creation and use of Prompt Templates, including chat prompt templates and few-shot prompt templates, to optimize AI interactions
  • Develop complex chain structures, such as LLMChains and Sequential Chains, to enhance the functionality of AI-driven applications
  • Implement dynamic execution flows using LCEL-based Chains and Runnables, including controlling execution flow and dynamic routing
  • Utilize memory in LangChain to build advanced conversational AI that can remember and recall user interactions across sessions
  • Create a Retrieval-Augmented Generation (RAG) application, including document reading, chunking, embedding, and data retrieval from a vector database
  • Design and integrate custom tools and agents, including memory-enabled agents, into your LangChain applications to extend their capabilities

How it compares

Against the other 461 rated Udemy courses in Data Science on CourseDuck:

  • Rating4.4 out of 5higher than 28% of them
  • Reviews359#272 of 462 by number of reviews
  • Length5.4 hoursshorter than 65% of them
  • Last updatedApril 2026more recently than 70% of them

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Course Description

Are you ready to transform your ideas into powerful Generative AI applications? Do you want to master a cutting-edge framework that can revolutionize how you interact with AI models? If you're an aspiring AI developer, data scientist, or tech enthusiast eager to build advanced AI applications from scratch, then this course is designed for you.

"Zero to Hero in LangChain: Build GenAI apps using LangChain" is your comprehensive guide to mastering LangChain, an innovative framework that streamlines the creation of sophisticated AI-driven applications. Whether you're a beginner or someone with some experience in AI, this course will take you on a journey from understanding the basics to implementing complex applications that leverage memory, retrieval-augmented generation (RAG), tools, agents, and more.

In this course, you will:

  • Develop your first LangChain application and set up a robust development environment.

  • Master the use of Prompt Templates, Chains, and Runnables to create versatile AI interactions.

  • Implement dynamic execution flows and output parsing to enhance your AI models.

  • Harness the power of memory in LangChain to build conversational AI with context retention.

  • Create a fully functional RAG pipeline to maximize the value of your data retrieval processes.

  • Build custom tools and agents, and learn how to integrate them into your applications.

  • Monitor and optimize your applications using LangSmith.

  • Design user-friendly interfaces for your AI apps with Streamlit.

Why should you learn LangChain? As the AI landscape rapidly evolves, the ability to build applications that can interact intelligently with vast datasets and maintain coherent conversations is a game-changer. LangChain offers a powerful, flexible framework that simplifies this process, making it accessible even if you're just getting started.

Throughout the course, you'll complete hands-on projects that reinforce your learning, ensuring you not only understand the theory but can apply it effectively. From building conversational AI with memory to creating sophisticated RAG applications, you'll gain practical experience in every aspect of LangChain.

This course stands out because it not only covers the "how" but also the "why" behind every feature of LangChain. As an expert in the field, I'll guide you through each step, ensuring you gain the skills and confidence needed to build impactful AI applications.

Don't miss this opportunity to become a LangChain expert and take your AI skills to the next level. Enroll now and start building the future of AI applications!

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Instructor Details

Start-Tech Academy

Start-Tech Academy is a technology-based Analytics Education Company and aims at Bringing Together the analytics companies and interested Learners. 
Our top quality training content along with internships and project opportunities helps students in launching their Analytics journey. 

Founded by Abhishek Bansal and Pukhraj Parikh.

Working as a Project manager in an Analytics consulting firm, Pukhraj has multiple years of experience working on analytics tools and software. He is competent in  MS office suites, Cloud computing, SQL, Tableau, SAS, Google analytics and Python.

Abhishek worked as an Acquisition Process owner in a leading telecom company before moving on to learning and teaching technologies like Machine Learning and Artificial Intelligence.


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Reviews

4.4

359 ratings on Udemy

Select a bar to show only those reviews.Select the bar again to show every rating.

By Michael Nierla on 5/17/2026

This is a very good course in my opinion. I learned many new things and, to most parts, I could enjoy the course. Unfortunately the provided jupyter-notebooks contain lots of meanwhile deprecated code (May, 2026). Thus, I lost a lot of time on unnecessary debugging.

By Aaron Blengl on 7/3/2025

Review at Chapter 01/03 - This Course seems well structured and pretty deep, while not overwhelming me while studying. Right now, i'm a Application Developer Trainee, and this Couse helps me getting additional Information besides my Training. Since i am from Germany, so no native English speaker, mostly the indian accent is hard for me to understand. But not in this Course. In this Course, if you understand english and know some technical terms, you can, like me, listen the Course clearly in double the Speed. Keep up your Work, you're doing Well.

By Udemy User on 6/2/2025

The course is outdated. I kept running into errors because of deprecated parameters (like quality in the OpenAI API), which made the whole experience frustrating. What should've taken 5.5 hours ended up taking much longer because I had to debug and research fixes myself. Needs to be updated ASAP.

By Prem D'Cruz on 3/4/2025

Well Structured course with good examples and walk through to explain the features. This was a good overview of get started on langchain. Some of the content seems dated, it will be nice to have it revised.

By Glenn Lindsey on 2/5/2025

I normally prefer to give ratings at the end of a course. But this course seems to be off to a very good start. I've noted some changes in course content through the Q&A and received a very prompt response. This tells me that the instructional team is working to help the student and this has impressed me.

By Kedar Madiwale on 1/12/2025

I loved this course; it is incredibly informative, provides a comprehensive understanding of the concepts, and serves as an excellent foundation for learning LangChain. The content is well-structured, making complex topics accessible and easy to grasp. The examples offered throughout the course enhance the learning experience. I highly recommend this course to anyone looking to add LangChain and its applications to their knowledge.

By Michel de Ruiter on 12/16/2024

De ondertiteling is vaak slechter dan de gesproken tekst, doordat deze automatisch is gegenereerd. Als iemand bijvoorbeeld "chains" zegt, staat er onterecht "change" als ondertiteling. Op deze manier voegt het niks toe :-( De inhoud en opbouw zijn heel goed, prima tempo en detailniveau.

By Nabham Gupta on 12/5/2024

legit above expectations! nice course with clear explanations and no time pass. Myself still a noob in learning about RAG but after this course excited about its practical world use cases & implementations.

By Jay Shah on 11/1/2024

This course is perfect for beginners and intermediates alike, as it covers the fundamentals while also diving into advanced concepts. The instructor explained complex topics in a way that was easy to understand, and the practical examples helped reinforce the material. I feel much more confident working with Langchain now, and I can’t wait to apply these skills in real-world projects. Highly recommended for anyone looking to master Langchain from scratch!

By Dean Phillips on 8/20/2024

Topics are explained concisely, in plain language. All theoretical lectures are accompanied by live coding demonstrations. Most importantly, LangChain changes a lot, and this is the most up to date that I've seen (i.e. no dependencies on deprecated libraries and an emphasis on LCEL).

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Overall Score : 88 / 100