IS773 AGENTIC AI
| Course Code: |
9010773 |
| METU Credit (Theoretical-Laboratory hours/week): |
3(3-0) |
| ECTS Credit: |
8.0 |
| Language of Instruction: |
English |
| Level of Study: |
Graduate |
| Course Coordinator: |
Prof.Dr. ALTAN KOÇYÝÐÝT |
| Offered Semester: |
Fall and Spring Semesters. |
Course Content
This course introduces the fundamentals of Agentic AI (Artificial Intelligence), covering core concepts, key characteristics, essential components, and design patterns. Topics such as autonomy, agent reflection, tool use, evaluation methods, planning, memory management, context engineering, multi-agent systems, orchestration, and optimization are explored. The course also covers best practices, design principles, architectural approaches, prominent development frameworks, deployment, and common use cases for leveraging Agentic AI. Ethical implications, trust, vulnerabilities, and safety and security challenges are discussed. In a capstone Project, students conceive, design, implement, and present a fully functional agentic system.
