1 hrs
Learn to build production-ready LLM applications using LangChain.js, the JavaScript framework that makes it easy to develop AI-powered apps in the Node.js and browser ecosystems. Created by DeepLearning.AI—the trusted authority on hands-on AI education—this course teaches you how to integrate large language models into real applications, handling everything from prompt engineering to memory management to API integration.
If you're a JavaScript or TypeScript developer looking to add AI capabilities to your projects, this course is built for you. You'll learn the patterns and best practices that professional teams use to ship LLM apps at scale.
Comfortable working with JavaScript or TypeScript, basic familiarity with APIs and HTTP requests, and a general understanding of what large language models are. You don't need prior AI experience—this course handles the LangChain-specific concepts from the ground up.
AI-powered applications are reshaping tech hiring in India. Companies like Flipkart, Infosys, TCS, and fast-growing startups in Bangalore and Pune are actively hiring engineers who can build LLM applications. This skill commands competitive salaries in the ₹8–20 LPA range for mid-level developers, and it's one of the fastest-growing competencies in India's job market.
Yes. DeepLearning.AI offers this short course completely free—no hidden paywalls, no forced upgrades. You get full access to all videos and materials at no cost.
The course is designed to take about 1 hour to watch. Most people complete it in one sitting or across 2–3 evenings, depending on how much time you spend experimenting with code examples.
This course does not offer a formal completion certificate. However, you'll gain practical, portfolio-ready skills—the best "certificate" is a working LLM app you've built yourself.