20 hrs
This Berkeley MOOC is a hands-on exploration of large language models (LLMs) in action—specifically, how to build agents that reason, use tools, and work together to solve problems. You'll learn directly from researchers at one of the world's leading AI institutions, with guest lectures from top labs bringing real-world context. Whether you're curious about how ChatGPT-like systems actually work behind the scenes or you want to build smarter AI applications, this course bridges theory and practice.
You'll get the most from this course if you have some coding experience and basic familiarity with how LLMs work. You don't need a PhD—just curiosity and willingness to tinker with code.
Basic Python programming experience and familiarity with how large language models (like ChatGPT or Claude) function. If you've worked with APIs or built simple Python projects, you're ready.
AI agent skills are becoming central to India's software export story. Companies like TCS, Infosys, and Wipro are building AI-driven solutions for global clients, and smaller startups in Bangalore, Hyderabad, and Pune are competing in the AI tools space. Understanding LLM agents—how to build them, evaluate them, and deploy them reliably—puts you ahead in job interviews and freelance work. This course gives you Berkeley-level knowledge without the fees or visa requirements.
Yes. You can access all course materials, lectures, and assignments at no cost. If you want a verified certificate of completion, Berkeley may offer that for a separate optional fee, but learning itself is completely free.
The course is designed for 20 hours of engaged learning. That's roughly 4–5 hours per week over a month, or you can go faster. Pace it to your schedule—there's no rigid deadline.
Yes. Upon completion, you'll receive a certificate from Berkeley acknowledging that you've finished the course. Many learners add this to LinkedIn profiles and portfolios.