45 hrs
UC Berkeley's legendary CS188 is one of the world's most respected introductions to artificial intelligence — used by thousands of students and self-learners globally. This course covers the foundational algorithms and concepts that power modern AI systems: search strategies, decision-making under uncertainty, reinforcement learning, probabilistic reasoning with Bayesian networks, and machine learning. You'll move beyond theory by building intelligent agents, most famously Pacman that learns to navigate complex game worlds.
This course fits you if you want to understand how AI systems actually work — not just use them. You'll need comfort with programming (Python) and basic math, but you don't need prior AI experience.
You should be comfortable writing code in Python or another programming language, and comfortable with basic discrete mathematics (sets, logic, probability). Prior AI or ML experience is not required.
AI engineer roles in India are among the fastest-growing in tech, with strong demand at companies like Google, Amazon, Microsoft, and Indian startups. Learning search and decision-making algorithms — the bedrock of AI — gives you an edge in interviews and on the job. Whether you're aiming for roles in autonomous systems, recommendation engines, or data science, this course teaches the algorithmic thinking that differentiates senior engineers from those who only know libraries.
Yes, completely free. UC Berkeley makes the full course, lecture videos, and project specifications available online at no cost. You access everything through their official website.
The course is designed as 45 hours of work. If you dedicate 3–5 hours per week, you could finish in 9–15 weeks. The projects (especially Pacman) take time but teach you far more than lectures alone.
This course does not offer a completion certificate. However, you can link to your project code on GitHub or show your Pacman agent as portfolio evidence — which often impresses employers more than a certificate.