AIFLX

Library / Artificial Intelligence

AI Agents and Agentic AI for Leaders: Strategy, Risk & Gov

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About this course

This course contains the use of artificial intelligence.

AI is no longer just a tool — it's becoming an autonomous teammate. And leaders who don't understand how AI agents work are increasingly at a strategic disadvantage.

From automated contract review to multi-agent customer service systems, from intelligent supply chain routing to AI-driven research pipelines, agentic AI is already reshaping how organizations operate at scale. This course gives leaders — across every industry and function — the structured, practical knowledge they need to evaluate, deploy, govern, and lead in an agentic AI world.

What This Course Covers:

What AI agents are and how they differ from traditional AI tools — covering the agent loop, memory, tool use, multi-agent systems, and reasoning models

Real-world applications of agentic AI across business functions including software development, customer operations, finance, HR, legal, healthcare, and manufacturing

Leading agentic platforms and frameworks: LangChain, AutoGen, CrewAI, Microsoft Copilot Studio, Salesforce Agentforce, AWS Bedrock, and Google Vertex AI

How to build a structured business case for agentic AI, estimate ROI, and align proposals with organizational strategy

The five-dimension organizational readiness assessment — data, technology, talent, process, and culture

Designing an agentic AI adoption roadmap using the Crawl-Walk-Run framework

Key risks of autonomous AI: hallucination, scope creep, data leakage, dependency risk, and prompt injection attacksAI governance frameworks including EU AI Act, NIST AI RMF, audit trail requirements, and human oversight design

How to lead teams through agentic AI change — upskilling, communication, stakeholder management, and culture

The future of agentic AI: multimodal agents, persistent agents, agent-to-agent systems, and strategic ho

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