Designed for developers, students, and AI enthusiasts with little to no prior experience in agent-based systems, this session combines conceptual grounding with practical implementation. Participants will learn how to build simple yet powerful AI agents that can plan, reason, and act in virtual environments. The workshop focuses on modularity, decision-making, and the fundamentals of intelligent behavior through code-based examples and guided labs, leveraging Azure AI Foundry as a platform for experimentation.
Whether you're curious about how intelligent agents work in games, simulations, or real-world applications, this workshop will empower you to design your first AI agent using Python and modern agent design principles.

By the end of this workshop, participants will be able to:
- Understand what AI agents are and how they fit within the broader AI ecosystem.
- Explore key concepts such as agent goals, beliefs, actions, and reasoning.
- Set up the development environment and navigate AI agent frameworks such as Semantic Kernel and Autogen.
- Implement simple rule-based agents and expand them to more complex behaviors.
- Use Python to model agent logic and simulate interactions in sandbox environments.
- Reflect on real-world applications of autonomous agents in fields like robotics, games, and digital assistants.
- Collaborate and share agent designs using GitHub and open-source workflows.