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Generative AI Skills for Program Managers

Premium
IntermediateCourse

Get hands-on using generative AI for program management to boost decision-making, reduce risks, and deliver strategic value across the program lifecycle.

Language

  • English

Topic

  • Business Analytics

Skills You Will Learn

  • Organizational Strategy, Data-Driven Decision-Making, Project Management, Program Management, Stakeholder Management, Project Management Life Cycle

Offered By

  • SkillUpEdTech

Estimated Effort

  • 9 hours

Platform

  • SkillsNetwork

Last Update

  • July 21, 2025
About this Course
Ready to build powerful Generative AI (GenAI) skills that can enhance every phase of the program management lifecycle, from planning and delivery to closure and value realization?   

What You Will Learn 
  • Apply GenAI to improve decision-making, risk management, and strategic alignment across the program lifecycle 
  • Use GenAI to drive stakeholder engagement, program planning, and real-time governance 
  • Build AI-enhanced deliverables through hands-on labs in program strategy, execution, and knowledge transfer 
  • Explore responsible AI adoption through ethical frameworks, governance practices, and risk mitigation strategies 
 
Course Overview
 

According to McKinsey, more than 75% of executives expect GenAI to significantly change how they manage projects and programs in the next few years. Program managers with the skills to enhance performance, reduce risk, and deliver greater strategic outcomes are in high demand!  

This course gives program professionals the GenAI skills to lead programs in today’s AI-augmented environment. You’ll learn how to integrate GenAI into every phase of the Program Lifecycle, Definition, Delivery, and Closure, aligning with the latest edition of PMI’s Standard for Program Management. From validating a business case to mapping stakeholder communication plans, identifying benefits, and closing with post-program knowledge transfer, you’ll gain practical GenAI  skills to enhance these processes.  

You’ll explore use cases such as AI-assisted stakeholder analysis, real-time risk monitoring, knowledge management, and benefits realization. You’ll also discover how AI improves program governance, supports data-driven decision-making, and helps deliver greater value to stakeholders. Plus, you’ll develop key artifacts using AI tools and frameworks aligned to strategic objectives.  

Ethical AI use is also a core focus. You'll examine responsible AI governance, recognize and mitigate algorithmic bias, and address data privacy challenges in program management, ensuring you adopt GenAI in ways that are trustworthy and aligned with professional standards.
Through interactive labs and a guided capstone project, you’ll then apply GenAI in real-world scenarios, producing program planning documents, risk registers, stakeholder maps, and value assessments. Great assets for your professional portfolio.  

If you’re a program professional keen to drive innovation and success in the age of GenAI, enroll now and get ready to lead the future of program delivery. 

Prerequisites 
This is an intermediate-level course. It’s recommended that learners have foundational knowledge of program or project management principles. Prior exposure to AI is not required. Technical concepts are introduced in a beginner-friendly manner. 

Related Professional Certificate 

This course is part of the GenAI: Game Changer Program Management Specialization, designed to equip program professionals with AI-powered decision-making, planning, and governance skills. Completing the full program helps you build a comprehensive portfolio of GenAI-enhanced deliverables and prepares you for leadership roles in program or transformation management

Course Syllabus
 

Welcome 
  • Video: Course Introduction 
  • Reading: General Information 
  • Reading: Learning Objectives and Syllabus 
  • Reading: How to Make the Most of This Course 
  • Reading: Grading Scheme 
Module 1: Program Management and Generative AI 
  • Reading: Module Introduction and Learning Objectives 
  • Video: Generative AI for Program Management 
  • Video: How Program Managers Leverage Generative AI 
  • Video: Implementing Generative AI in Program Management 
  • Reading: Case Study: Successful AI Implementations in Program Management 
  • Lab: AI Opportunities in Program Planning, Delivery, and Closure 
  • Video: Generative AI's Role in Managing the Program Management Domains 
  • Reading: Review of Program Management Principles 
  • Reading: Leveraging AI to Enhance Principle Excellence 
  • Video: Using AI for Stakeholder Communication and Collaboration 
  • Video: AI for Innovation and Benefits Identification 
  • Reading: How AI Builds on Past Program Insights 
  • Video: AI to Improve Stakeholder Experience and Value Delivery 
  • Video: AI for Program Task Optimization 
  • Lab: AI Opportunities in a Program Case Study 
  • Practice Quiz: Program Management and Generative AI 
  • Reading: Module Summary: Program Management and Generative AI 
  • Graded Quiz 
 Module 2: Harnessing the Power of Generative AI in Program Management 
  • Reading: Module Introduction and Learning Objectives 
  • Video: AI for Strategic Program Planning 
  • Video: AI for Program Planning and Reporting 
  • Video: AI for Risk Management and Mitigation Strategies 
  • Lab: AI for Program Data Analysis and Visualization 
  • Video: The Future of AI in Program Management 
  • Video: AI Risks in Large-Scale Programs 
  • Reading: Challenges with Generative AI 
  • Video: Using AI to Manage and Share Knowledge 
  • Reading: Ethical Considerations in AI-Driven Programs 
  • Video: Overcoming Bias in AI Models 
  • Video: Risks of AI in Program Execution 
  • Lab: AI Ethics in Program Decision-Making 
  • Practice Quiz: Harnessing the Power of Generative AI in Program Management 
  • Reading: Module Summary 
  • Graded Quiz 
Module 3: Guided Project, Final Assessment, and Course Wrap-Up 
  • Reading: Module Introduction and Learning Objective 
  • Reading: Project Overview 
  • Lab: Guided Project – AI-Driven Program Planning and Benefits Realization 
  • Final Exam: Generative AI: A Game Changer for Program Managers 
Course Wrap-Up 
  • Video: Course Wrap-Up 
  • Reading: Cheat Sheet – Common Prompts for Program Managers 
  • Reading: Glossary 
  • Reading: Congratulations and Next Steps 
  • Reading: Course Team and Acknowledgments 
  • Reading: Course Rating and Feedback 










Instructors

Filipe Martins

SME

Filipe Martins is an innovative AI Leader at SkillUp Online with over 15 years of experience driving technological transformation across multiple industries. For the past year, he has been building an AI research team focused on developing human-centered EdTech solutions for enterprise, government, higher education, and K-12 institutions. At SkillUp, he oversees internal product development, company-wide AI adoption, and provides strategic support for B2B and B2C initiatives, consistently placing learner needs at the center of technological innovation. This research-driven approach builds on his entrepreneurial and researcher background. A certified Cloud Professional with a background in Natural Language Processing research, Filipe seeks to excel on educational solutions that enhance rather than replace human interaction in learning environments. His research team investigates how AI can address diverse learning needs while maintaining the essential human elements of education. By combining rigorous research methodologies with practical implementation strategies, Filipe creates EdTech solutions that are not only technologically advanced but also pedagogically sound and accessible, ensuring technology serves as a meaningful enhancement to the learning experience across various educational contexts.

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