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edX

Generative AI: A Game Changer for Program Managers

SkillUp EdTech via edX

Overview

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Generative AI (GenAI) is a program manager’s power tool, enabling them to make smarter decisions, reduce risks, and drive strategic value more effectively. Professionals who know how to get the most out of GenAI instantly stand out to recruiters!

In this course, you’ll explore how GenAI can transform program management tasks, and look at how it aligns with the latest edition of PMI’s Standard for Program Management.

You’ll learn how AI can help you negotiate the program lifecycle across three key phases. For the Program Definition phase, you’ll learn how AI enhances stakeholder analysis, business case validation, and benefits identification. In the Program Delivery phase, you’ll see how AI-driven governance, risk management, and real-time insights optimize execution. Then, in the Program Closure phase, you’ll learn how AI facilitates lessons learned analysis, impact assessments, and knowledge transfer.

Additionally, you’ll explore ethical AI implementation, risk mitigation strategies, and responsible AI governance in program management. Plus, you’ll get hands-on experience using GenAI tools to create key deliverables essential for program success. And you’ll complete a final project, where you’ll leverage GenAI to create artifacts required to complete each phase of the program lifecycle.

If you’re keen to seamlessly integrate GenAI into your program management practices, drive efficiency, and ensure long-term program success, enroll today!

Syllabus

  • Build job-ready GenAI skills that program managers need to enhance decision-making, risk management, and benefits realization in program management
  • Learn how to leverage GenAI for strategic alignment, stakeholder engagement, and governance using AI-driven tools
  • Gain hands-on experience with generative AI tools through labs and projects, applying AI across Program Definition, Delivery, and Closure.
  • Explore ethical considerations in AI-driven program planning, execution, and decision-making for responsible AI adoption.

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