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UdemyData SciencePaid courseIntermediate levelCertificate

LangChain in Action: Develop LLM-Powered Applications (Udemy.com)

From the Basics of LLMs to Production-Grade Microservice Architecture with Kubernetes (Latest Version 1.0.x)

Created by: Markus Lang

Last updated November 2025

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What you will learn

  • Master LangChain from basics to advanced features
  • Understand and implement Retrieval Augmented Generation (RAG) using VectorStores
  • Learn about the creation and use of powerful Autonomous Agents.
  • Grasp the functionalities and applications of the Indexing API.
  • Explore the LangSmith Platform for production ready application
  • Learn about Microservice architecture in the context of large language model (LLM) applications.
  • Learn about the new LangChain Expression Language with the Runnable Interface

How it compares

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

  • Rating4.5 out of 5higher than 46% of them
  • Reviews1,658#105 of 462 by number of reviews
  • Length4.6 hoursshorter than 69% of them
  • Last updatedNovember 2025more recently than 53% of them

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Course Description

This course provides an in-depth exploration into LangChain, a framework pivotal for developing generative AI applications.

Now fully updated for LangChain 1.0.x — including LCEL, LangGraph-based orchestration, the revamped Agents API, and the langchain_classic imports.


Aimed at both beginners and experienced practitioners in the AI world, the course starts with the fundamentals, such as the basic usage of the OpenAI API, progressively delving into the more intricate aspects of LangChain.

You'll learn about the intricacies of input and output mechanisms in LangChain and how to craft effective prompt templates for OpenAI models. The course takes you through the critical components of LangChain, such as Chains, Callbacks, and Memory, teaching you to create interactive and context-aware AI systems.

Midway, the focus shifts to advanced concepts like Retrieval Augmented Generation (RAG) and the creation of Autonomous Agents, enriching your understanding of intelligent system design. Topics like Hybrid Search, Indexing API, and LangSmith will be covered, highlighting their roles in enhancing the efficiency and functionality of AI applications.

Toward the end, the course integrates theory with practical skills, introducing Microservice Architecture in large language model (LLM) applications and the LangChain Expression Language. This ensures not only a theoretical understanding of the concepts but also their practical applications.

This course is tailored for individuals with a foundational knowledge of Python, aiming to build or enhance their expertise in AI. The structured curriculum ensures a comprehensive grasp of LangChain, from basic concepts to complex applications, preparing you for the future of generative AI.

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Instructor Details

Markus Lang

English

Hello, I'm Markus, a software developer specializing in Artificial Intelligence and Python. I work in the finance industry and have extensive experience developing LLM applications with LangChain and successfully deploying them into production.

I am passionate about teaching and strive to make complex topics approachable and practical for my students, focusing on providing clear, hands-on learning experiences.

I’m excited to share my knowledge with you and help you grow your skills.

I look forward to welcoming you to my courses and being part of your learning journey!


German

Hallo, ich bin Markus, ein Softwareentwickler im Bereich Künstliche Intelligenz mit Spezialisierung auf Python. Ich arbeite in der Finanzbranche und habe umfangreiche Erfahrung darin, LLM-Applikationen mit LangChain zu entwickeln und erfolgreich in Produktion zu bringen.

Ich bin leidenschaftlich daran interessiert, komplexe Themen zu vermitteln, und lege großen Wert darauf, sie verständlich und praxisnah für meine Teilnehmenden zu gestalten.

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Reviews

4.5

1,658 ratings on Udemy

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

By Daniel Thapa on 3/7/2026

This is not a beginner course on Langchain as I was expecting, he started good but failed to make understand all those langchain stuff like how it works, why langchain and what are the inbuilt functions etc.

By Sathish Kumar M on 12/30/2025

Awesome! Superb training. Good content and well-planned presentation. I really enjoyed this course, learnt a lot, useful information, good concept and crystal-clear delivery. This course was excellent and extremely valuable. Thank you so much to Instructor.

By Francois Beaussier on 4/26/2025

Watched at x1.5 speed to ensure understanding of LangChain before doing the LangGraph course. Material was decent, no time wasted explaining details which was great as time is limited.

By Michael on 3/13/2025

Good shit. Alot of the container part of the course is pretty surface level instead of actually learning how to deploy, but he gives you a pretty good intro to LangChain and its components

By Manish Seth on 1/13/2025

Markus' course on LangChain is a fantastic introduction to the framework, providing a clear, focused, and structured approach. It covers everything from basic concepts to advanced topics like RAG and Autonomous Agents, with practical examples to reinforce learning. Perfect for anyone looking to dive into generative AI with a solid foundation. Highly recommend

By Claude Gabriel on 6/28/2024

I learned many new concepts in this class. I was also impressed that the code worked without error. I think this class is a big stepping stone to a new perspective on the capabilities of LangChain and LLMs

By Federico Ferreres on 6/6/2024

The course gets better the higher the chapter level. Given the rapid change of LangChain and the short duration of the course, things move very fast. Overall, I rated it five because it's a course by a practitioner, almost like having a colleague doing a quick intro to a whole topic, with all the gaps from someone that isn't an academic, but also with so much practicality it took 3.5 hours not 3.5 days. If you consider it a walkthru and examples of the functionality, and how it's pieced together, in the simplest possible way, but with enough substance that you are a lot more capable after that short time, then you may be happy with it. I look forward to version 2 of the course, when LangChain stabilizes a bit, and why not, fixing the jokes about pizzas ;-)

By Chris Wolstenholme on 3/23/2024

This course is great, and explains the concepts of LangChain and related topics very well. I don't usually go for short (in terms of video hours) courses because I'm never sure they'd be in-depth enough for me (I like to know everything things), but this course covers a lot in the short time.

By Florentin Butz on 1/22/2024

Gut strukturierter Inhalt, viele hilfreiche Code-Beispiele und Lösungsansätze, um mit LangChain produktiv gehen zu können. An manchen Stellen wie im Kapitel LCEL würde ich mir eine Herleitung vom Problem zur Lösung wünschen. Insgesamt sehr angenehm und interessant vorgetragen.

By Mrchongnoi Noi on 1/17/2024

I enjoyed the course it filled in a number of gaps that I had during my DIY learning of Lanchain. The Langchain expression session seemed to be rushed. I think this section needs to be expanded. The agent section needs to updated as my application broke with the new syntax with LangChain. I did not see the business value of the change. Great course. I really enjoyed it. Look forward to more.

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Overall Score : 90 / 100