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Official Curriculum Brochure
An advanced enterprise program for organizations designing, governing and implementing AI agents that perform multi-step tasks, use enterprise tools, access approved knowledge, make bounded decisions and coordinate workflows with human oversight. It is built around a Human-in-the-Loop, Governed Agentic AI approach.
Every module combines concept clarity, live demonstration, structured hands-on practice, and role output.
AI evolution: Generative AI, copilots, automation, agents and agentic workflows, and where Agentic AI creates additional value.
Agent goals, instructions, reasoning, tools, context, memory, planning, actions and feedback loops.
Process mapping, task complexity, decision boundaries, value, feasibility and risk assessment.
Agent instructions, system prompts, task decomposition, constraints, structured outputs and context architecture.
Enterprise documents and knowledge bases with RAG grounding; tools, APIs and business system integration.
Approval thresholds, escalation, exceptions, human decisions and accountability.
Agent specialization, coordination, routing, delegation, shared context and orchestration.
Prompt injection, indirect injection, excessive permissions, data leakage, unsafe actions, bias and privacy.
Accuracy, task completion, reliability, hallucinations, test cases, evaluation criteria, monitoring and audit logs.
Agent lifecycle, governance, ROI modeling, KPI design and a phased enterprise adoption roadmap; design and present an enterprise agentic AI solution.
Discuss schedule, participant capacity, or enterprise dataset customizations with our learning architects.