2 hrs
LangChain is the go-to framework for building practical applications powered by large language models. In this course from DeepLearning.AI—created in collaboration with Andrew Ng and LangChain founder Harrison Chase—you'll learn how to move beyond chatbots and build real, production-ready LLM applications. Whether you're integrating AI into existing systems or exploring what's possible with language models, this course gives you the tools and patterns you need.
If you're building with AI or planning to, this course is your practical foundation. You don't need deep ML expertise—just curiosity and some coding experience.
Basic Python programming knowledge. You should be comfortable reading and writing simple functions. Machine learning experience is helpful but not required—the course teaches the LLM-specific concepts you need.
LangChain skills are in high demand across India's growing AI startup ecosystem and in tech companies expanding their AI products. Startups in Bangalore, Delhi, and Mumbai are actively hiring engineers who can build LLM applications—roles that often pay ₹15–35 LPA depending on experience. Multinational companies like Amazon, Google, and Microsoft are also scaling their AI teams in India and looking for developers with hands-on LangChain experience. By learning this framework now, you're positioning yourself for opportunities in AI engineering roles that are otherwise scarce in the Indian job market.
Yes, completely free. No hidden charges, no paywall for certificates.
The course is about 2 hours of video content. You can complete it in a single afternoon, though we'd recommend spreading it over 2–3 sessions with hands-on practice between lessons. Budget another 3–5 hours if you want to build a small project using what you learn.
No formal certificate is offered, but you'll have a solid portfolio piece: a working LLM application you build during the course. That's often more valuable than a certificate when you're job hunting or pitching to clients.