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Coursera

Build AI Apps with LangChain.js

Scrimba via Coursera

Overview

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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.

Syllabus

  • Build AI apps with LangChain JS
    • In this module, you'll cover the foundational concepts of LangChain, setting up Supabase for data storage, and preparing text data for efficient processing.
  • Core Functionality & Processing
    • It's time to start building! You'll create retrieval chains, design prompt templates, structure outputs, and optimize workflows using RunnableSequence().
  • Challenges, UI, and Finalization
    • Finally, you'll focus on integrating a user interface, managing memory, troubleshooting performance issues, and ensuring scalability in LangChain applications.
  • Test your knowledge!
    • Put your knowledge to the test with this interactive graded quiz!

Taught by

Tom Chant

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4.6 rating at Coursera based on 37 ratings

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