Generative AI Skills for Program Managers
Course

Generative AI Skills for Program Managers
Gain hands-on experience using generative AI in program management to enhance decision-making, minimize risks, and drive strategic value throughout the program lifecycle.
Flexible Schedule
Intermediate Level
Mentor Support
Estimated Time
9 hours
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 managers the GenAI skills to lead programs in todays AI-augmented environment. Youll learn how to integrate GenAI into every phase of the program lifecycle, definition, delivery, and closure, aligning with the latest edition of PMIs Standard for program management. From validating a business case to mapping stakeholder communication plans, identifying benefits, and closing with post-program knowledge transfer, youll gain practical GenAI skills to enhance these processes.
Youll explore use cases such as AI-assisted stakeholder analysis, real-time risk monitoring, knowledge management, and benefits realization. Youll also discover how AI improves program governance, supports data-driven decision-making, and helps deliver greater value to stakeholders. Plus, youll 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, youll 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 youre 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.
This course comprises three purposely designed modules that take you on a carefully defined learning journey.
It is a self-paced course, which means it is not run to a fixed schedule with regard to completing modules. It is anticipated that you will complete the course in 9 hours. However, as long as the course is completed by the end of your enrollment, you can work at your own pace. And dont worry, youre not alone! You will be encouraged to stay connected with your learning community through the course discussion space.
The materials for each module are accessible from the start of the course and will remain available for the duration of your enrollment. Methods of learning and assessment will include discussion space, videos, reading material, quizzes, hands-on labs, and final assignment.
Once you have successfully completed the course, you will earn your IBM Certificate.
You will be able to:
- Explore key opportunities for leveraging generative AI in program management.
- Demonstrate how AI improves collaboration, decision-making, and benefits realization in program management.
- Explain the fundamental principles of generative AI and its significance in program management, including its role in governance, benefits realization, and risk management.
- Summarize common AI tools used in program management and their strategic impact.
- Demonstrate how generative AI techniques can improve effectiveness across the program lifecycle, including definition, delivery, and closure.
- Explain AI's role in streamlining program tasks.
- This course is designed for current or aspiring program managers looking to enhance their expertise with generative AI.
- Program management experience
Course Outline
Video: Course Introduction (3:23)
Reading: General Information
Reading: Learning Objectives and Syllabus
Reading: How to Make the Most of this Course
Reading: Grading Scheme
Reading: Module Introduction and Learning Objectives
Video: Generative AI for Program Management (7:01)
Video: How Program Managers Leverage Generative AI (6:25)
Video: Implementing Generative AI in Program Management (7:24)
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 (7:45)
Reading: Review of Program Management Principles
Reading: Leveraging AI to Enhance Principle Excellence
Video: Using AI for Stakeholder Communication and Collaboration (7:08)
Video: AI for Innovation and Benefits Identification (8:38)
Reading: How AI Builds on Past Program Insights
Video: AI to Improve Stakeholder Experience and Value Delivery (6:33)
Video: AI for Program Task Optimization (6:57)
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: Program Management and Generative AI (7 Questions)
Reading: Module Introduction and Learning Objective
Video: AI for Strategic Program Planning (6:08)
Video: AI for Program Planning and Reporting (6:36)
Video: AI for Risk Management and Mitigation Strategies (7:00)
Lab: AI for Program Data Analysis and Visualization
Video: The Future of AI in Program Management (7:58)
Video: AI Risks in Large-Scale Programs (8:00)
Reading: Challenges with Generative AI
Video: Using AI to Manage and Share Knowledge (7:47)
Reading: Ethical Considerations in AI-Driven Programs
Video: Overcoming Bias in AI Models (8:33)
Video: Risks of AI in Program Execution (6:55)
Lab: AI Ethics in Program Decision-Making
Practice Quiz: Harnessing the Power of Generative AI in Program Management
Reading: Module Summary: Harnessing the Power of Generative AI in Program Management
Graded Quiz: Harnessing the Power of Generative AI in Program Management (7 Questions)
Reading: Module Introduction and Learning Objective
Reading: Project Overview
Lab: Guided Project: AI-Driven Program Planning and Benefits Realization
Final Exam: Generative AI Skills for Program Managers (10 Questions)
Why Learn with SkillUp Online?
We believe every learner is an individual and every course is an opportunity to build job-ready skills. Through our human-centered approach to learning, we will empower you to fulfil your professional and personal goals and enjoy career success.
Reskilling into tech? We’ll support you.
Upskilling for promotion? We’ll help you.
Cross-skilling for your career? We’ll guide you.

Personalized Mentoring & Support
1-on-1 mentoring, live classes, webinars, weekly feedback, peer discussion, and much more.

Practical Experience
Hands-on labs and projects tackling real-world challenges. Great for your resumé and LinkedIn profile.

Best-in-Class Course Content
Designed by the industry for the industry so you can build job-ready skills.

Job-Ready Skills Focus
Competency building and global certifications employers are actively looking for.
FAQs
This AI for managers course shows you how to apply generative AI across the full program lifecycleplanning, delivery, closure, and benefits realization. Youll learn how to strengthen decision-making, reduce risks, and deliver more strategic value through AI-driven tools, labs, and a guided capstone project.
The course is designed for program managers, project leaders, and professionals responsible for governance, reporting, and stakeholder management. If youre an AI program manager or looking to transition into this role, the course equips you with Gen AI for program managers skills to lead with confidence in an AI-augmented environment.
Generative AI supports program planning by analyzing data, mapping dependencies, and forecasting risks. During execution, it helps optimize resources, enhance stakeholder communication, and ensure alignment with strategic objectives. Through hands-on labs, youll apply AI for program planning and governance in real-world scenarios.
Yes. This Gen AI for managers training course explores how AI improves stakeholder analysis, communication planning, and engagement. Youll practice building AI-enhanced stakeholder maps and communication strategies that align with PMIs program management standards.
Absolutely. Youll learn how AI in risk management and decision-making strengthens program resilience. The labs and guided project focus on creating AI-driven risk registers and applying proactive mitigation strategies.
The course covers AI-assisted program governance, including real-time reporting, ethical AI adoption, and aligning with PMIs standard for program management. Youll gain practical experience in using AI tools for program managers to improve transparency and accountability.
Yes. Through interactive labs and the capstone project, youll create deliverables such as stakeholder maps, risk registers, program planning documents, and value assessmentsartifacts that strengthen your portfolio as an AI program manager.
Definitely. Each module includes labs where you apply Gen AI for program managers' use cases, from benefits realization to stakeholder communication. The guided project ensures you graduate with AI-driven program deliverables relevant to real-world practice.
Youll explore responsible AI in program management, addressing governance, algorithmic bias, and data privacy. The course provides frameworks for adopting AI ethically while ensuring compliance with professional and organizational standards.
Yes. The AI for managers course is aligned with PMIs standard for program management, ensuring that the skills and deliverables you build meet global best practices in program management.
No. While this is an intermediate-level program management course, prior AI experience isnt required. Technical concepts are introduced in a beginner-friendly way, making it accessible to all program professionals with a basic understanding of program or project management principles.
Yes. On successful completion, youll earn an IBM Certificate that validates your Gen AI for Product Managers expertise, an asset for professionals aiming to showcase their ability to integrate AI into program management.
Program professionals who upskill in AI are positioned to lead the future of program delivery. With growing demand for AI-assisted program governance, decision-making, and value delivery, this training helps you stand out as an AI program manager ready for leadership in digital transformation initiatives.
Type of certificate
IBM Certificate
About this course
03 Modules
05 Skills
Includes
Discussion space
04 Hands-on labs
02 Practice quizzes
02 Graded quizzes
01 Final project
01 Final exam
Exercises to explore
Program Planning, Delivery, and Closure
Program Case Study
Program Data Analysis and Visualization
AI Ethics in Program Decision-Making
This course has been created by

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