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Official Curriculum Brochure
A practical, business-focused program introducing AI Agents: intelligent systems capable of reasoning, planning, using tools, retrieving knowledge, collaborating with other agents and executing multi-step business workflows. Covers Agentic AI, tool calling, memory, RAG, MCP, multi-agent systems, human-in-the-loop governance and enterprise adoption.
Every module combines concept clarity, live demonstration, structured hands-on practice, and role output.
AI Agents, Agentic AI, and how they differ from chatbots, copilots and traditional workflows.
Reasoning, planning, memory, tool use, actions and feedback loops.
System prompts, goals, constraints, instructions; sequential, conditional, event-driven and autonomous workflows.
Short-term, long-term and semantic memory; connect agents to enterprise knowledge with Retrieval-Augmented Generation.
Model Context Protocol, APIs, enterprise tools and function calling.
Agent orchestration, collaboration, delegation and coordination.
Apply AI agents in HR, Finance, Sales, Marketing, Operations, Customer Service and IT.
Approval workflows, escalation, exception handling and Responsible AI for agents.
Prompt injection, permissions, identity, access, data protection; agent testing, tracing and quality metrics.
Governance, operating models, implementation roadmaps; prototype an AI agent solution for a real business workflow.
Discuss schedule, participant capacity, or enterprise dataset customizations with our learning architects.