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Product Management for Building AI Products

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BeginnerCourse

Build job-ready AI product management skills in a month, plus get valuable practical experience and a credential. No programming experience is required.

Language

  • English

Topic

  • Computer Science & Information Technology

Skills You Will Learn

  • AI Skill Analysis, AI Product Manager, AI Product Lifecycle, AI And Machine Learning, Ethical And Responsible AI

Offered By

  • SkillUpEdTech

Estimated Effort

  • 3 weeks

Platform

  • SkillsNetwork

Last Update

  • April 22, 2025
About this Course
This Product Management for Building AI Products course teaches you the skills you need to move into AI product manager roles.  
 
You will learn: 
 
  • Job-ready skills in 1 month, plus you’ll get practical experience employers look for on a resume and an industry-recognized credential.  
  • About the role and daily routine of an AI product manager and what skills you need to manage an AI product lifecycle. 
  • How to conduct a skills analysis, examine AI opportunities and challenges, and use AI tools in product development and market reach expansion. 
  • A good understanding of the AI value proposition, methods for communicating with stakeholders, the AI process, stages of AI product development, and the return on investment (ROI) of AI. 
  • An understanding of AI integration into the product management lifecycle, AI’s impact and use cases, and strategies for commercializing AI products. 
 
 
Course Overview 
 
Generative AI is transforming business operations across industries. According to a McKinsey survey, over 78% of organizations are implementing AI, demonstrating its unquestionable impact. One such example is the AI-powered recommendation system on Netflix. As companies progressively lean toward creating AI-powered products, the role of the AI product manager becomes even more crucial. 
 
During this course, you’ll look at the AI product manager’s role in building AI products and managing the lifecycle. You will gain knowledge of the AI process, how to assemble the right team and interact with stakeholders, and how to strike a balance between using traditional and AI skills. Additionally, you’ll discover common challenges and reasons for AI project failures.  
 
You’ll learn about the AI product development stages and product management phases. You’ll review real-world use cases and explore commercialization strategies and future trends. Additionally, you’ll gain an understanding of AI’s influence across industries. 
 
In this short self-paced course, you’ll follow useful guidance through videos and get hands-on in practice labs. Further, you’ll complete a final project where you’ll apply your new skills to a practical scenario that will demonstrate your abilities and skills as an AI product manager.   
  
Overall, this Product Management for Building AI Products course gives you a valuable introduction to the role of an AI product manager so you can kickstart your journey toward career success. 
 

Course Syllabus

Welcome
  • Video: Course Introduction 
  • Reading: General Information 
  • Reading: Learning Objectives and Syllabus 
  • Grading Scheme 
  • How To Make the Most of This Course
Module 1: AI Methodology, Opportunities, and Challenges
  • Reading: Module Introduction and Learning Objectives 
  • Video: Role of the AI Product Manager 
  • Reading: AI Strategies: Goals and Roadmaps 
  • Video: The Value Proposition of AI in Product Management 
  • Reading: AI Product Management versus Traditional Product Management 
  • Video: A Day in the Life of an AI Product Manager 
  • Hands-on Lab: Perform Skills Analysis 
  • Video: Building the AI “Dream Team” 
  • Video: Communicating AI to Stakeholders 
  • Reading: Overview of Current AI Courses and Certificate Programs 
  • Video: Challenges and Opportunities for AI Product Managers 
  • Video: The Return on Investment of AI 
  • Reading: AI Product Development Infrastructure and Methods 
  • Video: The AI Process 
  • Video: Why AI Product Development Projects Fail 
  • Hands-on Lab: Analyzing Opportunities and Challenges in AI 
  • Video: Case Study: The “Frownies” Fiasco 
  • Reading: Case Study: The “Frownies” Fiasco 
  • Practice Quiz: Module 1: AI Methodology, Opportunities, and Challenges 
  • Reading: Module 1 Summary: AI Methodology, Opportunities, and Challenges 
  • Reading: Module 1 Glossary: AI Methodology, Opportunities, and Challenges 
  • Module 1 Graded Quiz: AI Methodology, Opportunities, and Challenges

Module 2: Integrating AI into the Product Management Lifecycle 
  • Reading: Module Introduction and Learning Objectives 
  • Video: Stages of AI Product Development 
  • Video: AI Integration in Product Management Lifecycle 
  • Reading: AI Support for Product Management Success 
  • Video: Key Measures of AI Product Management Success 
  • Hands-on Lab: AI Product Development Challenges and Opportunities 
  • Reading: Tools for AI Product Managers 
  • Video: AI’s Impact Across Industries 
  • Video: AI Use Cases 
  • Video: Commercializing AI Products 
  • Reading: Commercializing AI Products: A Checklist 
  • Hands-on Lab: Leverage AI Tools to Develop a Product 
  • Video: Case Study: “My Toothcase” Success 
  • Reading: Case Study: “My Toothcase” Success 
  • Video: AI Current Trends and Future Insights 
  • Practice Quiz - Module 2: Integrating AI into the Product Management Lifecycle 
  • Reading - Summary Module 2: Integrating AI into the Product Management Lifecycle 
  • Reading: Module 2 Glossary: Integrating AI into the Product Management Lifecycle 
  • Module 2 Graded Quiz: Integrating AI into the Product Management Lifecycle 
  • Discussion: AI in Career Planning
Module 3: Final Submission and Evaluation 
  • Reading: Module Introduction and Learning Objectives 
  • Reading: Project Overview 
  • Final Project: Expanding Market Reach for AI Products 
  • Final Exam 
Course Wrap-Up
  • Reading: Congratulations and Next Steps 
  • Reading: Thanks from the Course Team 
  • Copyrights and Trademarks 
Course Rating and Feedback
  • Feedback

Recommended Skills Prior to Taking this Course

You should have a basic familiarity with the product management lifecycle and product lifecycle to get the most out of this course. 

Instructors

Daniel Yeomans

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IBM Skills Network

IBM Skills Network Team

At IBM Skills Network, we know how crucial it is for businesses, professionals, and students to build hands-on, job-ready skills quickly to stay competitive. Our courses are designed by experts who work at the forefront of technological innovation. With years of experience in fields like AI, software development, cybersecurity, data science, business management, and more, our instructors bring real-world insights and practical, hands-on learning to every module. Whether you're upskilling yourself or your team, we will equip you with the practical experience and future focused technical and business knowledge you need to succeed in today’s ever-evolving world.

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