Build AI Apps with LangChain.js
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Build AI Apps with LangChain.js
This course is part of AI Engineering Specialization
Instructor: Tom Chant
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What you'll learn
Understand the LangChain library for AI Application Development
Implement Advanced Text Processing
Design and Complete an AI App Project
Skills you'll gain
Tools you'll learn
Details to know
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There are 4 modules in this course
Learn the basics of LangChain.js and build an internal company knowledge base using retrieval from a vector database.
This hands-on course takes you step by step through the process of building AI-powered applications using LangChain. You’ll start with an expert-led introduction by LangChain’s lead maintainer, Jacob Lee, giving you a strong foundation straight from the source. As you progress, you’ll: - Build app flow diagrams - Set up databases with Supabase - Refine text processing techniques - Craft powerful prompt templates - Develop starter code - Integrate logic chains for data retrieval and processing - Design a functional user interface—bringing your AI project to life Each module is designed to sharpen your coding skills with interactive challenges that push you to apply what you’ve learned in real-world scenarios. The course wraps up with an exciting solo project: building your own personal assistant app, solidifying your expertise in AI app development. With its deep focus on LangChain, this course gives you hands-on experience with cutting-edge AI tools, preparing you to build the next generation of intelligent applications.
In this module, you'll cover the foundational concepts of LangChain, setting up Supabase for data storage, and preparing text data for efficient processing.
What's included
11 plugins
11 plugins•Total 33 minutes
- What you'll learn and build•2 minutes
- Introduction to LangChain from Jacob Lee (Lead Maintainer of LangChain.js)•1 minute
- Welcome to interactive lessons!•1 minute
- App Flow Diagrams•3 minutes
- What are embeddings?•6 minutes
- Supabase Setup•4 minutes
- Split the text•2 minutes
- Split the text II•6 minutes
- Upload to supabase•4 minutes
- Starter code•2 minutes
- Explainer: The Standalone Question•2 minutes
It's time to start building! You'll create retrieval chains, design prompt templates, structure outputs, and optimize workflows using RunnableSequence().
What's included
10 plugins
10 plugins•Total 39 minutes
- Aside: Prompt Templates•3 minutes
- Aside: Prompt Templates II•3 minutes
- Adding the first chain•4 minutes
- Retrieval•7 minutes
- Add StringOutputParser•3 minutes
- Fetching the answer: the template•5 minutes
- Serialize the docs•2 minutes
- Aside: RunnableSequence•5 minutes
- Aside: RunnableSequence 2•3 minutes
- Aside: RunnableSequence 3: RunnablePassthrough•4 minutes
Finally, you'll focus on integrating a user interface, managing memory, troubleshooting performance issues, and ensuring scalability in LangChain applications.
What's included
6 plugins
6 plugins•Total 23 minutes
- Super Challenge - add the RunnableSequence•3 minutes
- Super Challenge - solution•5 minutes
- Wire up the UI•2 minutes
- Setting up the memory•3 minutes
- Super Challenge: Wire up the memory•6 minutes
- Performance Issues Checklist•4 minutes
Put your knowledge to the test with this interactive graded quiz!
What's included
1 assignment1 plugin
1 assignment•Total 30 minutes
- Build AI Apps with LangChain Quiz•30 minutes
1 plugin•Total 3 minutes
- Course outro•3 minutes
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Reviewed on Feb 16, 2025
Exception course by Tom Chant (Scrimba). Needs minor updates in the code import statements.
its a good exercise for students to figure that one out themselves.
Reviewed on Oct 23, 2025
Hands-on course, I would like more learning about internal how-to
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