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Enterprise Agentic AI: Practical Enterprise AI Capability Building
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.
Six capabilities this program builds so you can design and scale governed agentic AI safely.
Explain what an AI agent is in business terms and how it differs from automation and copilots.
Identify and prioritize agentic AI opportunities by value, feasibility and risk.
Define agent objectives, instructions, tools, context and decision boundaries.
Design human-in-the-loop approval, escalation and exception handling for agent workflows.
Apply Responsible AI and security controls to agentic systems before they scale.
Develop an enterprise roadmap from AI experimentation to governed agentic operations.
How the program moves you from opportunity discovery to a solution you can take to implementation.
Understand agents, architectures, tool use and orchestration in business terms.
Identify and prioritize agentic opportunities from real business processes.
Design agent objectives, context, tools, permissions and boundaries.
Build approval, escalation and exception checkpoints into agent workflows.
Map agents to enterprise systems, data and governance layers.
Design and present an enterprise agentic AI solution and roadmap.
Understand agents, architectures, tool use and orchestration in business terms.
Identify and prioritize agentic opportunities from real business processes.
Design agent objectives, context, tools, permissions and boundaries.
Build approval, escalation and exception checkpoints into agent workflows.
Map agents to enterprise systems, data and governance layers.
Design and present an enterprise agentic AI solution and roadmap.
The real workflow scenarios you'll work through, pulled directly from the program's applied curriculum.
Select a real organizational process and build an Enterprise Agentic AI Business Case and Solution Blueprint covering architecture, context, tools, human oversight, security and an implementation roadmap.
The program teaches the concepts behind agent design, RAG and governance so you can apply them to any enterprise platform.
ChatGPT · Microsoft Copilot · Claude · Gemini · Azure AI Foundry
OpenAI Agents SDK · Microsoft AutoGen · LangChain · LangGraph · LlamaIndex · CrewAI
MCP · RAG · Function calling · Vector DBs · Knowledge Graphs
n8n · Power Automate · Zapier · Make · REST APIs · Enterprise Connectors
Agent Design Canvas · Human-in-the-Loop · Agent Security · Evaluation · Operating Model · Responsible AI · Adoption Playbook
A preview of the modules inside the program. See the full breakdown in the detailed curriculum.
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.
Understand how AI agents work, tool calling, memory, orchestration, autonomy levels, and high-value business opportunities.
Hands-on workshop to build, test, and deploy multi-step agentic workflows using modern frameworks and enterprise tools.
Architect multi-agent systems, error recovery, deterministic guardrails, human-in-the-loop triggers, and enterprise integration.
Every module, topic, activity and practical application, laid out in the detailed curriculum.