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LifestyleThe Complete LangChain, LangGraph, & LangSmith Course (2026) (Udemy.com)
Modularize with LangChain, Build Agents with LangGraph, and Monitor with LangSmith
Created by: Fikayo Adepoju
Last updated February 2026
What you will learn
- Master LCEL Orchestration: Build highly efficient, composable AI pipelines using the LangChain Expression Language and Runnable interfaces.
- Develop Autonomous Agents: Use create_agent to build intelligent assistants that can reason and interact with external tools.
- Architect Stateful Graphs: Design non-linear AI workflows using LangGraph to handle complex branching and looping logic.
- Implement Robust Persistence: Use Checkpointers to save graph state, enabling agents to resume tasks and maintain memory.
- Enable Production Monitoring: Set up LangSmith to trace every step of your application's execution for rapid debugging and optimization.
- Evaluate AI Performance: Leverage LangSmith datasets and functions to monitor latency, cost, and output quality in real-world scenarios.
How it compares
Against the other 1,182 rated Udemy courses in IT & Software on CourseDuck:
- Rating4.5 out of 5higher than 45% of them
- Reviews75#1,049 of 1,183 by number of reviews
- Length29.5 hourslonger than 94% of them
- Last updatedFebruary 2026more recently than 68% of them
Course Description
Welcome to the most complete, up-to-date guide on the modern AI stack: LangChain, LangGraph, and LangSmith. In 2026, building a simple wrapper around an LLM is no longer enough. To create applications that are truly useful, they must be reliable, stateful, and observable. This course is designed to take you from a beginner to a professional AI Engineer by mastering the three pillars of the LangChain ecosystem.
We begin with LangChain, where you will learn to move beyond basic API calls using the LangChain Expression Language (LCEL). You'll master the art of orchestration, building "Runnable Chains" that are efficient, asynchronous, and production-ready. From there, we transition into LangGraph, the industry standard for building agentic workflows. You will learn to move away from linear chains and into cyclic state machines, implementing persistence with Checkpointers so your agents never "forget" a conversation or lose their place during a crash.
Finally, we bridge the gap between development and production with LangSmith. You will learn how to monitor your applications in real-time, debug complex reasoning paths with detailed traces, and use evaluation suites to ensure your AI behaves exactly as intended. This isn't just a coding course; it’s a blueprint for building enterprise-grade AI systems that are as robust as they are intelligent.
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Instructor Details
- 4.5 Rating
75 Reviews
Fikayo Adepoju
Fikayo Adepoju is a Full-stack developer, technical writer and tech content creator proficient in Web and Mobile technologies and DevOps with over 10years experience developing scalable distributed applications. With over 40 articles written for Twilio, CircleCI, Auth0 and The New Stack blogs and also on his personal medium page, Fikayo loves to share his knowledge to as many developers as would benefit from it.
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Reviews
By Thiet Doan on 8/31/2026
The content is useful, but verbose and repetitive. Instead of using pre-made slides, the instructor draws by hand, which is time-consuming and confusing.
By Debabrata Bardhan on 6/14/2026
Love the way the instructor is explaining concepts with pen and paper, it's like a real class room .
By Dariusz Wójcik on 4/4/2026
Good course overall. It is obvious that the instructor knows the subject very well, and the content itself is valuable. I still liked the course, however it could have been significantly shorter than 29 hours. A large part of the course consists of watching code being typed slowly or diagrams being drawn, while there is very little discussion of the overall architecture and conceptual layers. You can see many classes, types, and structures being used, but without a clear explanation of how they fit into the broader LangChain or LangGraph architecture. What I missed most was a higher-level architectural view — where specific components belong and why they are used in a given layer. Because of this, I often had to rely on Copilot and external explanations to understand the architectural intent, which ideally should be explained by the instructor. The course has strong practical examples, but a deeper architectural walkthrough would significantly improve it.
By Solomon Kganakga on 3/21/2026
The course is well structured, informative with clear explanations of the subject matter. Thank you Fikayo for a great course
By Annalisa Immade on 3/19/2026
Best place to start Learning LangChain Stack up to Intermediate level Great stuff
By Braxton Daniels on 3/19/2026
Honestly, this course is simply AMAZING, Delivery, topics, PROJECTS!!! The whole package
By Aleksandr Sharikov on 3/9/2026
Good explanations and examples. Everything looks OK. But I think it will be useful to add one more lecture about changes after major version upgrades.
By Tamer Salmem on 2/18/2026
The english accent of the teacher is TOOO heavy... it's very hard to understand everything :(
By Modestus Lorence on 1/23/2026
Well structured and clear explanations. Keep up all your great work. Hope to see more courses from Fikayo.
By Jennifer Nnodi on 1/9/2026
That chapter on LangChain Orchestration with runnables was where I knew I was gonna rate this course highly. Been looking for a resource to teach it clearly, even in the LangChain docs. This just opened it up clearly and precisely. Thank YOU!!!
Quality Score
No CourseDuck member has rated this course yet. Taken it? Give each part a thumbs up or down.
Overall Score : 90 / 100
- Video Duration:
29.5h - Price: $10.99
- Provider: Udemy
- Updated:
February 2026 - Level:
Beginner - Language:
English - Certificate:
Yes
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