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Hands-On Projects

Now it’s time to put everything you’ve learned into practice. Each project walks you through building a functional AI agent that solves a real-world problem.

Every project follows the same structure:

  1. The Problem: What real-world task are we automating?
  2. The Approach: How will we design the agent to solve it?
  3. Build It: Step-by-step instructions for each platform
  4. Test It: Try your agent with real inputs
  5. Make It Better: Ideas for improving your agent

After completing these projects, you’ll have a portfolio of nine AI agents you can use in your own work or offer as services. Check the Resources page for ideas on where to go from here, including workflow automation tools like Zapier and Make.