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The course moves from definitions to working systems. It starts with how an agent reasons, acts and reads results back, then compares the libraries that put those ideas into practice.
Assignments and challenges let you measure your agent against other learners, which turns abstract ideas into something you can test. The final assignment asks you to build an agent for a chosen benchmark and place it on the student leaderboard.
Newcomers to agents with some Python will find an approachable order of topics, at roughly 3-4 hours of work per week across the chapters.
Welcome to the most exciting topic in AI today: Agents!
This free course will take you on a journey, from beginner to expert, in understanding, using and building AI agents.
What to expect from this course?
In this course, you will:
At the end of this course, you’ll understand how Agents work and how to build your own Agents using the latest libraries and tools.
What’s the syllabus?
Each chapter in this course is designed to be completed in 1 week, with approximately 3-4 hours of work per week.
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