The Manager's Guide to Integrating and Managing AI Agents
27mIntermediate2025-04-04
Authors
Charlene Li
Author and Speaker on Leadership, Strategy, and Marketing
Course details
As AI reshapes the workplace, people managers must evolve to lead and manage human employees and AI agents simultaneously. In this course, instructor Charlene Li teaches you how to manage AI agents as autonomous entities alongside human employees in preparation for the future of business shaped by agentic AI. Managing AI is new territory—check out this course to find out how you can thrive in uncertainty and lead with confidence in an AI-powered world.
Learning objectives
Analyze the challenges of managing an AI and human workforce and apply strategies to foster trust, accountability, and adoption.
Apply best practices for integrating AI into workflows while maintaining ethical oversight and human engagement.
Evaluate AI agent performance using key metrics to ensure effectiveness, fairness, and continuous improvement.
Build the leadership skills necessary to enhance decision-making, collaboration, and innovation while balancing AI automation.
Learning objectives
Analyze the challenges of managing an AI and human workforce and apply strategies to foster trust, accountability, and adoption.
Apply best practices for integrating AI into workflows while maintaining ethical oversight and human engagement.
Evaluate AI agent performance using key metrics to ensure effectiveness, fairness, and continuous improvement.
Build the leadership skills necessary to enhance decision-making, collaboration, and innovation while balancing AI automation.
Skills covered
AI for Business FoundationsAI Productivity ToolsArtificial Intelligence for BusinessBusiness Software and ToolsOne-Off
Concepts
0. Introduction
- 01 - Why AI agents matter
1. Understanding AI Agents
- 02 - What AI agents are and how they create value
- 03 - Challenges of managing a hybrid workforce
2. Leading and Managing the Human and AI Workforce
- 04 - The manager s role in leading AI-augmented teams
- 05 - Practical strategies for managing AI and human teams
- 06 - Establishing ethical boundaries for AI agents
- 07 - Measuring and optimizing AI agent performance
3. Leadership Skills for an Agentic Future
- 08 - Becoming a better manager with AI
- 09 - Building an AI-ready mindset - Experimentation and adaptability
Conclusion
- 10 - How to get started with AI agents