Generative AI for Program Managers Specialization Course Syllabus

Full curriculum breakdown — modules, lessons, estimated time, and outcomes.

Overview: This specialization is designed for program management professionals seeking to integrate generative AI into their workflows. The course is structured into three core modules followed by a final project, totaling approximately 22 hours of flexible, self-paced learning. Participants will gain practical knowledge and hands-on experience in applying generative AI tools to real-world program management scenarios, with no prior AI experience required.

Module 1: Generative AI: Introduction and Applications

Estimated time: 7 hours

  • Understand the fundamentals of generative AI
  • Explore key capabilities of generative AI models
  • Examine real-world use cases across industries
  • Identify applications in program management contexts

Module 2: Generative AI: Prompt Engineering Basics

Estimated time: 7 hours

  • Learn core concepts of prompt engineering
  • Apply zero-shot prompting techniques
  • Utilize few-shot prompting methods
  • Use tools to create effective AI prompts

Module 3: Generative AI: A Game Changer for Program Managers

Estimated time: 8 hours

  • Integrate generative AI into program definition
  • Enhance program delivery using AI tools
  • Improve stakeholder engagement with AI-driven insights
  • Apply AI in program closure and evaluation phases

Module 4: Hands-On Labs and Practical Applications

Estimated time: 5 hours

  • Complete guided AI integration exercises
  • Practice decision-making with AI-generated outputs
  • Optimize workflows using generative AI simulations

Module 5: Final Project

Estimated time: 5 hours

  • Design a program management plan enhanced with AI
  • Develop AI-generated deliverables for stakeholder review
  • Submit a comprehensive project report with reflections

Prerequisites

  • No prior AI experience required
  • Basic understanding of program management principles
  • Familiarity with digital collaboration tools

What You'll Be Able to Do After

  • Understand the fundamentals of generative AI and its applications in program management
  • Master prompt engineering techniques to guide generative AI models effectively
  • Apply generative AI tools to improve decision-making and workflow efficiency
  • Enhance stakeholder engagement across program lifecycle phases
  • Gain hands-on experience through labs and real-world projects
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