This course explores the emerging paradigm of Agentic Artificial Intelligence, which are AI systems capable of reasoning, planning, and acting autonomously through structured protocols and external tool integration. Students will learn to design, implement, and deploy Model-Context-Protocol (MCP)-based agent systems, integrate multiple models and APIs, and evaluate their ethical, cognitive, and computational implications.

The course emphasizes applied construction and reflective practice over rote theory. Students will build containerized agent workflows, practice context and protocol design, and engage in iterative fail-and-survive learning cycles to develop robust technical and critical thinking skills.