Large language models are increasingly deployed not as chatbots but as agents: systems that plan, use tools, act in environments, and coordinate with other agents. This seminar covers the design, implementation, and evaluation of LLM-based agentic systems. Students will also acquire hands-on experience with working with agents and designing systems for and with them. The seminar concludes with presentations where students reflect on both the theoretical aspects but also the practical considerations for using Agentic AI.

This course is limited to 40 participants. Participants will be selected by lottery.

The following courses (or equivalents) are strongly recommended prerequisites:

• Functional and Object Oriented Programming
• Math for Computer Science
• Algorithms and Data Structures
• Software Engineering
• Introduction to Artificial Intelligence