15 hrs
Full Stack Deep Learning's LLM Bootcamp is a free, hands-on introduction to building real applications with large language models. Created by Berkeley's renowned deep learning program, this course walks you through the entire lifecycle—from prompt engineering and retrieval systems to fine-tuning models and deploying them with thoughtful user experience design. Whether you're curious about how ChatGPT-style tools work under the hood or want to build your own AI features, this bootcamp bridges the gap between "I've heard of LLMs" and "I can ship them."
You'll get the most from this course if you've written code before and want to level up into AI. You don't need a PhD in machine learning—just curiosity and comfort with Python.
Comfort with Python programming and basic familiarity with APIs and web development. No machine learning background needed.
India's tech sector is hungry for engineers who can build with LLMs. Companies across Bangalore, Delhi, and Mumbai—from startups to giants like Infosys and TCS—are expanding AI teams, and LLM skills command premium salaries. This bootcamp gives you exactly what Indian hiring managers are looking for: not theory, but practical ability to ship AI features. As India's startup ecosystem grows and enterprises digitize, knowing how to build with LLMs positions you for roles in AI product teams, consulting, or your own ventures.
Yes, completely free. No hidden fees, no upsell to a paid certificate—just quality content from Berkeley's team available to anyone.
Expect about 15 hours of work total. That's roughly 2–3 hours per week if you spread it over a month, or you can move faster if you're in a hurry. Pace depends on how deep you go into the projects.
This course doesn't offer a completion certificate, but completing the projects and building something real for your portfolio will speak louder than a badge anyway.