Product Management: Building AI-Powered Products from Coursera

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!

What's inside

Syllabus

AI Methodology, Opportunities, and Challenges

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.

Integrating AI into the Product Management Lifecycle

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.

Final Submission and Evaluation

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.

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Develops product management skills and knowledge crucial for a product manager in the AI field

Taught by Daniel C. Yeomans, an experienced professional in the EdTech industry

Explores the opportunities that AI brings to product management, including its ROI

Examines challenges faced by AI product managers and reasons for project failures

Provides real-world AI use cases and commercialization strategies

Requires students to complete a final project to demonstrate their understanding

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Product Management: Building AI-Powered Products with these activities:

Explore Microsoft Learn AI Modules

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Build a solid foundation in AI concepts and techniques.

Browse courses on AI Fundamentals

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Enroll in the 'AI Fundamentals' learning path.
Complete the interactive modules and exercises.
Apply what you learn to your product management projects.

Join an AI Product Management Study Group

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Collaborate with peers, share knowledge, and gain diverse perspectives on AI product management.

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Find or create a study group with like-minded individuals.
Meet regularly to discuss course topics, case studies, and industry trends.
Provide constructive feedback and support to group members.

Attend an AI Product Management Conference

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Connect with industry experts, learn about the latest trends, and expand your network.

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Research and find upcoming AI product management conferences.
Register and attend the conference.
Engage with speakers and attendees to learn and share insights.

Two other activities

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Solve AI Product Management Case Studies

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Test your understanding of AI product management principles and decision-making.

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Find case studies on AI product management online.
Analyze the case studies and identify the challenges and opportunities.
Develop and present your own solutions.

Develop an AI Product Concept Document

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Apply your knowledge to create a comprehensive document outlining an AI product concept.

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Identify a problem or opportunity related to AI.
Define the target audience and user needs.
Research existing AI solutions and technologies.
Develop a product vision, mission, and roadmap.
Present your concept document to stakeholders.

Career center

Learners who complete Product Management: Building AI-Powered Products will develop knowledge and skills that may be useful to these careers:

AI Product Manager

An AI Product Manager is responsible for the development and management of AI-powered products. This course provides a comprehensive overview of the AI product manager's role and the skills needed to be successful. It covers topics such as AI methodology, opportunities, challenges, integrating AI into the product management lifecycle, and final submission and evaluation. This course can help you build a strong foundation for a career as an AI Product Manager.

See salaries and explore the career path for AI Product Manager

Product Manager

A Product Manager is responsible for the development and management of products. This course can help you build a strong foundation for a career as a Product Manager, and it can also help you develop the skills needed to manage AI-powered products. It covers topics such as AI methodology, opportunities, challenges, integrating AI into the product management lifecycle, and final submission and evaluation.

See salaries and explore the career path for Product Manager

AI Engineer

An AI Engineer is responsible for the development and deployment of AI models. This course can help you build a strong foundation for a career as an AI Engineer, and it can also help you develop the skills needed to work with AI product management teams. It covers topics such as AI methodology, opportunities, challenges, integrating AI into the product management lifecycle, and final submission and evaluation.

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Data Scientist

A Data Scientist is responsible for the analysis and interpretation of data. This course can help you build a strong foundation for a career as a Data Scientist, and it can also help you develop the skills needed to work with AI product management teams. It covers topics such as AI methodology, opportunities, challenges, integrating AI into the product management lifecycle, and final submission and evaluation.

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Software Engineer

A Software Engineer is responsible for the development and maintenance of software applications. This course can help you build a strong foundation for a career as a Software Engineer, and it can also help you develop the skills needed to work with AI product management teams. It covers topics such as AI methodology, opportunities, challenges, integrating AI into the product management lifecycle, and final submission and evaluation.

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UX Designer

A UX Designer is responsible for the design and implementation of user interfaces. This course can help you build a strong foundation for a career as a UX Designer, and it can also help you develop the skills needed to work with AI product management teams. It covers topics such as AI methodology, opportunities, challenges, integrating AI into the product management lifecycle, and final submission and evaluation.

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Marketing Manager

A Marketing Manager is responsible for the development and execution of marketing campaigns. This course can help you build a strong foundation for a career as a Marketing Manager, and it can also help you develop the skills needed to work with AI product management teams. It covers topics such as AI methodology, opportunities, challenges, integrating AI into the product management lifecycle, and final submission and evaluation.

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Sales Manager

A Sales Manager is responsible for the development and execution of sales strategies. This course can help you build a strong foundation for a career as a Sales Manager, and it can also help you develop the skills needed to work with AI product management teams. It covers topics such as AI methodology, opportunities, challenges, integrating AI into the product management lifecycle, and final submission and evaluation.

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Business Analyst

A Business Analyst is responsible for the analysis and interpretation of business data. This course can help you build a strong foundation for a career as a Business Analyst, and it can also help you develop the skills needed to work with AI product management teams. It covers topics such as AI methodology, opportunities, challenges, integrating AI into the product management lifecycle, and final submission and evaluation.

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Project Manager

A Project Manager is responsible for the planning and execution of projects. This course may be useful for building a strong foundation for a career as a Project Manager, and it may also help you develop the skills needed to work with AI product management teams. It covers topics such as AI methodology, opportunities, challenges, integrating AI into the product management lifecycle, and final submission and evaluation.

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Consultant

A Consultant is responsible for providing advice and guidance to businesses. This course may be useful for building a strong foundation for a career as a Consultant, and it may also help you develop the skills needed to work with AI product management teams. It covers topics such as AI methodology, opportunities, challenges, integrating AI into the product management lifecycle, and final submission and evaluation.

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Entrepreneur

An Entrepreneur is responsible for starting and running a business. This course may be useful for building a strong foundation for a career as an Entrepreneur, and it may also help you develop the skills needed to work with AI product management teams. It covers topics such as AI methodology, opportunities, challenges, integrating AI into the product management lifecycle, and final submission and evaluation.

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Teacher

A Teacher is responsible for educating students. This course may be useful for building a strong foundation for a career as a Teacher, and it may also help you develop the skills needed to work with AI product management teams. It covers topics such as AI methodology, opportunities, challenges, integrating AI into the product management lifecycle, and final submission and evaluation.

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Lawyer

A Lawyer is responsible for representing clients in legal matters. This course would not be useful for building a strong foundation for a career as a Lawyer.

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Doctor

A Doctor is responsible for diagnosing and treating patients. This course would not be useful for building a strong foundation for a career as a Doctor.

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