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Product Management: Building AI-Powered Products
Course
Product Management: Building AI-Powered Products
Lead AI products confidently by combining product skills and AI expertise to drive successful launches and stay ahead of change.
Flexible Schedule
Beginner Level
Mentor Support
Estimated Time
3 weeks
2-3 hours/week
2-3 hours/week
Generative AI is transforming how businesses operate. According to a McKinsey survey, over 78% of organizations are implementing AI, making its impact undeniable. Netflixs AI-driven recommendations feature is one such example. With companies leaning to develop AI-powered products, the AI product manager role is becoming increasingly critical.
This course covers the AI product managers role in managing product lifecycles with AI. You will learn about the AI process and how to balance traditional and AI skills, build the right team, and communicate with stakeholders. You will also explore common challenges and reasons for AI project failures. Next, you will learn about the AI product development stages and product management phases. You will also understand AIs impact across industries and review real-world use cases, commercialization strategies, and future trends.
Throughout this short self-paced course, you will be presented with instructional guidance through videos followed by hands-on labs to practice what you learn. You will also complete a final project to showcase your AI product manager skills.
This course comprises three purposefully designed modules that guide you along a carefully defined learning path.
It is a self-paced course, which means it is not run to a fixed schedule with regard to completing modules or submitting assessments. To give you an idea of how long the course takes to complete, it is anticipated that if you learn 2-3 hours per week, you can finish the entire learning experience in 3 weeks. However, as long as the course is completed before the end date, you can work at your own pace.
The materials for each module will become available when you start the particular module. Methods of learning and assessment will include videos, readings, hands-on labs, knowledge check quizzes, and a final graded assessment.
Once you have successfully completed the course and final assessment, you will earn your Certificate of Completion.
By the end of this course, you will be able to:
- Explain the roles of an AI product manager and the required skills to manage a product lifecycle, and explore their daily routine.
- Conduct a skills analysis, examine AI opportunities and challenges, and use AI tools in product development and market reach expansion.
- Describe the AI value proposition, methods for communicating with stakeholders, the AI process, stages of AI product development, and the ROI of AI.
- Discuss AI integration into the product management lifecycle, AIs impact and use cases, and strategies for commercializing AI products.
- Product management professionals
- Technology professionals
- Business professionals
- Aspiring product managers
- Experienced professionals looking to integrate AI into their careers
- Professionals interested in AI-driven product lifecycle management
- Individuals seeking to improve stakeholder communication using AI
- Familiarity with the product management lifecycle and product lifecycle.
Course Outline
Video: Course Introduction (3:57)
Reading: General Information
Reading: Learning Objectives and Syllabus
Grading Scheme
How To Make the Most of This Course
Reading: Module Introduction and Learning Objectives
Video: Role of the AI Product Manager (6:00)
Reading: AI Strategies: Goals and Roadmaps
Video: The Value Proposition of AI in Product Management (5:30)
Reading: AI Product Management versus Traditional Product Management
Video: A Day in the Life of an AI Product Manager (4:28)
Lab: Perform Skills Analysis
Video: Building the AI “Dream Team” (5:44)
Video: Communicating AI to Stakeholders (4:02)
Reading: Overview of Current AI Courses and Certificate Programs
Video: Challenges and Opportunities for AI Product Managers (6:20)
Video: The Return on Investment of AI (6:02)
Reading: AI Product Development Infrastructure and Methods
Video: The AI Process (5:55)
Video: Why AI Product Development Projects Fail (5:34)
Lab: Analyzing Opportunities and Challenges in AI
Video: Case Study: The “Frownies” Fiasco (1:07)
Reading: Case Study: The “Frownies” Fiasco
Module 1 Practice Quiz: 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
Reading: Module Introduction and Learning Objectives
Video: Stages of AI Product Development (5:32)
Video: AI Integration in Product Management Lifecycle (5:11)
Reading: AI Support for Product Management Success
Video: Key Measures of AI Product Management Success (5:10)
Lab: AI Product Development Challenges and Opportunities
Reading: Tools for AI Product Managers
Video: AI's Impact Across Industries (6:23)
Video: AI Use Cases (5:17)
Video: Commercializing AI Products (3:58)
Reading: Commercializing AI Products: A Checklist
Lab: Leverage AI Tools to Develop a Product
Video: Case Study: "My Toothcase" Success (1:33)
Reading: Case Study: "My Toothcase" Success
Video: AI Current Trends and Future Insights (4:47)
Module 2 Practice Quiz: Integrating AI into the Product Management Lifecycle
Reading: Module 2 Summary: 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
Reading: Module Introduction and Learning Objectives
Reading: Project Overview
Final Project: Expanding Market Reach for AI Products
Final Exam
Reading: Congratulations and Next Steps
Reading: Thanks From the Course Team
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
The course explores the role of an AI product manager, the product lifecycle, AI opportunities and challenges, AI tools, stakeholder communication, AI value, product development stages, commercialization, and AI integration. It includes a final project on expanding market reach for AI products.
The course explains the role of an AI product manager and the skills needed to manage a product lifecycle. It also explores daily responsibilities, AI opportunities and challenges, stakeholder communication, AI processes, commercialization, and the practical use of AI within product management.
Yes. The course explores how AI can be integrated into the product lifecycle and discusses the seven phases of product management. You will also examine AI product development stages, industry use cases, commercialization activities, and ways AI can support product goals.
The course explores AI tools in the context of product development and market reach. You will examine how AI can support product activities, assess opportunities and challenges, and consider how AI capabilities can contribute to product strategy and development decisions.
Yes. AI integration is a specific focus of the course. Learners examine how AI fits into the product management lifecycle, explore its impact and use cases across industries, and consider commercialization activities and future trends related to AI powered products.
The course examines the stages of AI product development and the activities associated with each stage. It also connects these stages with the wider product management lifecycle, helping learners understand how AI can influence planning, development, commercialization, and product delivery.
The course helps you develop product manager skills related to AI product management, stakeholder communication, product lifecycle management, commercialization, team building, and AI strategy. It explores how product managers balance traditional product management capabilities with AI specific knowledge.
Yes. Learners examine AI opportunities and challenges with reasons why AI product development projects may fail. The course covers AI processes, value, stakeholder communication, development stages, integration, commercialization, and use cases to provide a broader view of AI product development.
Yes. The course includes a final project focused on expanding market reach for an AI product. In this project, you will review a product concept involving an AI driven system, consider its return on investment, and apply concepts related to product development and commercialization.
The course is listed as a beginner level program with a flexible schedule and approximately nine hours of learning. It contains three modules covering AI product management, AI integration across the product lifecycle, and a final project and assessment.
Type of certificate
Certificate of Completion
About this course
03 Modules
04 Skills
Includes
19 Videos
10 Readings
02 Hands-On Labs
02 Practice Quizzes
02 Graded Quizzes
01 Final Quiz
01 Project
Create
Evaluate challenges and opportunities in AI product development
Leverage AI tools to develop a product
This course has been created by
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