
Practical AI Governance for Managers
Learn five essential responsibilities every manager must master to ensure safe, effective, and accountable AI use across their teams, no technical expertise required.

Responsible AI in Action for Team Leaders
Turn responsible AI principles into daily team practices. Learn how managers can embed ethical reviews, coach on edge cases, and foster a culture of vigilance, without slowing down innovation.

Managing AI as Workplace Infrastructure
AI is now embedded across workplace systems, from CRMs to productivity tools. Learn how to recognize, map, and govern invisible AI infrastructure while managing security, operational risks, and performance.
About the course
Ready to lead your team confidently in the age of AI? This course is your practical guide to navigating the opportunities and risks of artificial intelligence in your daily operations. We'llĀ equip you with a clear understanding of how AI impacts your workplace, from the tools you use every day to strategic decision-making. You'll learn not just what AI is, but critically, how to govern its use effectively within your team. Discover how to set clear guidelines, foster responsible AI practices, spot potential issues like bias or "shadow AI," and ensure human oversight where it matters most. Gain the skills to implement practical risk management, understand key ethical and legal frameworks (like the EU AI Act and NIST principles), and ultimately, empower your team to leverage AI safely and productively. After this course, you will have the skills to build a culture of responsible innovation that protects your organization and drives success.

Kevin Williams
Kevin Williams is the founder of Ascend AI Labs and the creator of the AI Ambassador Program. An early adopter of generative AI, Kevin brings firsthand experience from launching LLM-powered products and advising executive teams on AI integration. He leads all live sessions and office hours, combining practical instruction with a deep commitment to helping others build confidence and capability with AI at work. He also serves as an advisor to the Utah Office of AI Policy and chairs the Workforce Special Interest Group for the Responsible AI Initiative.
Curriculum
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1
Introduction and Framing
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Introduction
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AI in Everyday Work
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The AI Lifecycle
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Key Roles and Responsibilities
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Benefits and Risks of AI
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AI Risk Categories and Enterprise Examples
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Common Misconceptions About AI
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Vocabulary and Technical Training
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Application for Managers
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Closing Summary
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2
AI Ethics
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Introduction
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Why Ethical AI Matters
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Bias in Data and Design
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Transparency and Explainability
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Ethical Dilemmas in Practice
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Application for Managers
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Closing Summary
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3
Operational & Technical Training
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Introduction to Operational Use
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Technical Vocabulary and Workplace Concepts
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AI as Workplace Infrastructure
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Safe Prompting and Data Protection
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Shadow AI and Cybersecurity Risks
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Managerial Decision Points
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4
Conclusion
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Conclusion
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Start Building Everyday AI Habits
Learn the practical steps to lead your team in using AI safely, effectively, and accountably.
$150.00