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Berkeley CS188

Introduction to Artificial Intelligence

Good grounding in search, games, probability, and reinforcement learning before LLM-specific work.

Start with: Use the Pacman projects for hands-on practice.

Videos

Educator videos are listed first. Similar videos are labelled and included when they cover the same skills or adjacent topics.

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Skills

Learner questions

Who should learn from Berkeley CS188?

Students learning classical AI should start here when they need search, planning, reinforcement learning, and ai foundations. The strongest fit is a learner who wants material in these formats: course, projects, notes.

What should I do first?

Use the Pacman projects for hands-on practice. After that, open one related resource below and write down the exact workflow, concept, or implementation pattern you want to apply.

What problem does this help with?

Good grounding in search, games, probability, and reinforcement learning before LLM-specific work. Use this profile when you are comparing educators by topic, level, format, and practical usefulness rather than browsing random AI content.

How do I compare this with other educators?

Compare the skill coverage, the starting recommendation, and the related videos. If you need search, search the directory for that skill and shortlist three profiles before committing to a course, book, or playlist.

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