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Track: AI Bootcamp - AI Agents 5 hours

Learn to Build AI Agents


An agent is not a chatbot. A chatbot answers. An agent plans, acts, observes the result, and adjusts until the job is done.

In this track you'll build one from the ground up. You'll start by understanding the loop that makes agents different, then turn your idea into an agent project spec with a real job, clear inputs, defined limits, and a measurable definition of success.

You'll get hands-on quickly. Build your first working agent inside the Claude app, explore Claude Cowork for agent-style workflows, then extend what your agent can reach through connectors and computer use, always with supervision and permissions in mind.

From there you'll go deeper into the parts that make an agent dependable. You'll create reusable skills that make behavior consistent, use the /goal command for complex multi-step work and know when /loop is the better choice, sharpen your agent's prompt through testing, and choose the right model for the task using OpenRouter to compare quality, speed, and cost.

Then you'll equip it properly: tools connected through CLIs, APIs, and MCPs, persistent memory that respects user privacy, and guardrails that keep a capable agent from having unchecked authority. You'll finish by coordinating multiple agents, comparing the major agent platforms, and optionally giving your agent a friendly interface.

Start building your first AI agent with this Track!


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