Agentic AI: Agent design and orchestration, tool calling, planning, memory and context management, retrieval, multi-agent patterns, MCP, human approvals, evaluation, observability, security guardrails, and cost and latency optimization. Expected to be well-versed to teach on responsible use of AI and AI-assisted development tools across the software-development lifecycle, helping learners improve productivity while maintaining security, quality, and human oversight.