Product Management: Building AI-Powered Products

Name: Product Management: Building AI-Powered Products
Rating: 4.279329608938547 (179 reviews)

This course is part of multiple programs.

Instructors: SkillUp +1 more

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3 modules

Gain insight into a topic and learn the fundamentals.

179 reviews

Beginner level

Recommended experience

Flexible schedule

9 hours to complete

Learn at your own pace

94%

Most learners liked this course

3 modules

Gain insight into a topic and learn the fundamentals.

179 reviews

Beginner level

Recommended experience

Flexible schedule

9 hours to complete

Learn at your own pace

94%

Most learners liked this course

What you'll learn

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, AI’s impact and use cases, and strategies for commercializing AI products.

Skills you'll gain

Category: New Product Development
Category: Team Building
Category: Stakeholder Communications
Category: Team Management
Category: Artificial Intelligence
Category: AI Product Strategy
Category: Product Lifecycle Management
Category: Technical Product Management
Category: Stakeholder Management
Category: Product Development
Category: Communication
Category: AI Enablement
Category: Return On Investment
Category: Stakeholder Engagement
Category: Product Management
Category: Commercialization

Details to know

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Add to your LinkedIn profile

Assessments

9 assignments¹

AI Graded see disclaimer

Taught in English

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Gain a foundational understanding of a subject or tool
Develop job-relevant skills with hands-on projects
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There are 3 modules in this course

Generative AI is transforming how businesses operate. According to a McKinsey survey, over 78% of organizations are implementing AI, making its impact undeniable. Netflix’s 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 manager’s 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 AI’s 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. Enroll now to master AI product management!

This module explains the AI product manager’s role in managing the product lifecycle by leveraging AI technologies. You will learn about the AI process, the ROI that AI brings to a project, and how a product manager balances traditional product management skills with AI-specific knowledge. You will learn how a product manager builds the AI “Dream Team” and communicates AI to stakeholders. In addition, you will look at the challenges faced by a product manager and the reasons for the failure of AI product development projects.

What's included

11 videos3 readings5 assignments7 plugins

11 videosTotal 54 minutes

Course Introduction4 minutes
Role of the AI Product Manager6 minutes
The Value Proposition of AI in Product Management5 minutes
A Day in the Life of an AI Product Manager4 minutes
Building the AI “Dream Team”6 minutes
Communicating AI to Stakeholders 4 minutes
Challenges and Opportunities for AI Product Managers6 minutes
The Return on Investment of AI 6 minutes
The AI Process 6 minutes
Why AI Product Development Projects Fail6 minutes
Case Study: The “Frownies” Fiasco1 minute

3 readingsTotal 5 minutes

Course Overview and Prerequisites1 minute
Lesson Summary: The AI Product Manager Environment and Role 2 minutes
Lesson Summary: AI Methods, Challenges, and Opportunities 2 minutes

5 assignmentsTotal 150 minutes

Module 1 Graded Quiz: AI Methodology, Opportunities, and Challenges 21 minutes
AI PM Skills Analysis and Action Plan60 minutes
Practice Quiz: The AI Product Manager Environment and Role12 minutes
AI Product Strategy & Team Analysis45 minutes
Practice Quiz: AI Methods, Challenges, and Opportunities12 minutes

7 pluginsTotal 36 minutes

Reading: How to Make the Most of this Course 5 minutes
Reading: AI Strategies: Goals and Roadmaps5 minutes
Reading: AI Product Management versus Traditional Product Management5 minutes
Reading: Overview of Current AI Courses and Certificate Programs3 minutes
Reading: AI Product Development Infrastructure and Methods3 minutes
Reading: Case Study: The “Frownies” Fiasco10 minutes
Module 1 Glossary: AI Methodology, Opportunities, and Challenges 5 minutes

In this module, you will learn about the stages of AI product development and the key activities in each stage. You will also learn about the seven phases of the product management lifecycle. In addition, you will get to know about AI’s impact across industries and some AI use cases where AI was used to achieve product goals and objectives. You will also learn about commercialization activities for an AI product and the current trends and future insights in AI.

What's included

8 videos2 readings3 assignments1 discussion prompt7 plugins

8 videosTotal 38 minutes

Stages of AI Product Development6 minutes
AI Integration in Product Management Lifecycle5 minutes
Key Measures of AI Product Management Success 5 minutes
AI's Impact Across Industries6 minutes
AI Use Cases5 minutes
Commercializing AI Products4 minutes
Case Study: "My Toothcase" Success2 minutes
AI Current Trends and Future Insights5 minutes

2 readingsTotal 4 minutes

Lesson Summary: AI Product Development Stages and the Product Management Lifecycle 2 minutes
Lesson Summary: AI Tools and Use Cases 2 minutes

3 assignmentsTotal 33 minutes

Module 2 Graded Quiz: Integrating AI into the Product Management Lifecycle 21 minutes
Practice Quiz: AI Product Development Stages and the Product Management Lifecycle 6 minutes
Practice Quiz: AI Tools and Use Cases6 minutes

1 discussion promptTotal 10 minutes

AI in Career Planning 10 minutes

7 pluginsTotal 56 minutes

Reading: AI Support for Product Management Success6 minutes
Hands-on Lab: AI Product Development Challenges and Opportunities15 minutes
Reading: Tools for AI Product Managers5 minutes
Reading: Commercializing AI Products: A Checklist5 minutes
Hands-on Lab: Leverage AI Tools to Develop a Product15 minutes
Reading: Case Study: "My Toothcase" Success5 minutes
Module 2 Glossary: Integrating AI into the Product Management Lifecycle 5 minutes

In this module, you will complete a final project where you will review a product concept document proposing the development of an AI-driven system that will monitor and improve traffic flow in a large city and provide a return on investment (ROI). In addition, you will attempt a final graded exam designed to evaluate your understanding of developing and delivering a product.

What's included

2 readings1 assignment2 plugins

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Instructors

Instructor ratings

(30 ratings)

SkillUp

159 Courses526,986 learners

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SkillUp

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Showing 3 of 179

Reviewed on Mar 18, 2025

An insightful and practical course that expertly covers the essentials of building AI-powered products, perfect for aspiring product managers!

Reviewed on Feb 1, 2025

Must needed course to expand your horizon in this AI revolution. Practice and implement.

Reviewed on Oct 2, 2024

Best course to learner about Product Management using AI

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¹ Some assignments in this course are AI-graded. For these assignments, your data will be used in accordance with Coursera's Privacy Notice.