IS773 AGENTIK 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: |
|
| 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 pattems. 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. architecfural
approaches. prominent development frameworks. deployment. and common use cases for leveraging Agentic
AL Ethical implications. trust. vulnerabilities. and safety and security challenges are discussed. In a capstone
project. sfudents conceive. design. implement. and present a fully functional agentic system.
