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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
Show info about module content
11 videos•Total 54 minutes
Course Introduction•4 minutes
Role of the AI Product Manager•6 minutes
The Value Proposition of AI in Product Management•5 minutes
A Day in the Life of an AI Product Manager•4 minutes
Building the AI “Dream Team”•6 minutes
Communicating AI to Stakeholders •4 minutes
Challenges and Opportunities for AI Product Managers•6 minutes
The Return on Investment of AI •6 minutes
The AI Process •6 minutes
Why AI Product Development Projects Fail•6 minutes
Case Study: The “Frownies” Fiasco•1 minute
3 readings•Total 5 minutes
Course Overview and Prerequisites•1 minute
Lesson Summary: The AI Product Manager Environment and Role •2 minutes
Lesson Summary: AI Methods, Challenges, and Opportunities •2 minutes
5 assignments•Total 150 minutes
Module 1 Graded Quiz: AI Methodology, Opportunities, and Challenges •21 minutes
AI PM Skills Analysis and Action Plan•60 minutes
Practice Quiz: The AI Product Manager Environment and Role•12 minutes
AI Product Strategy & Team Analysis•45 minutes
Practice Quiz: AI Methods, Challenges, and Opportunities•12 minutes
7 plugins•Total 36 minutes
Reading: How to Make the Most of this Course •5 minutes
Reading: AI Strategies: Goals and Roadmaps•5 minutes
Reading: AI Product Management versus Traditional Product Management•5 minutes
Reading: Overview of Current AI Courses and Certificate Programs•3 minutes
Reading: AI Product Development Infrastructure and Methods•3 minutes
Reading: Case Study: The “Frownies” Fiasco•10 minutes
Module 1 Glossary: AI Methodology, Opportunities, and Challenges •5 minutes
Integrating AI into the Product Management Lifecycle
Module 2•3 hours to complete
Module details
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.
AI Integration in Product Management Lifecycle•5 minutes
Key Measures of AI Product Management Success •5 minutes
AI's Impact Across Industries•6 minutes
AI Use Cases•5 minutes
Commercializing AI Products•4 minutes
Case Study: "My Toothcase" Success•2 minutes
AI Current Trends and Future Insights•5 minutes
2 readings•Total 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 assignments•Total 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 Cases•6 minutes
1 discussion prompt•Total 10 minutes
AI in Career Planning •10 minutes
7 plugins•Total 56 minutes
Reading: AI Support for Product Management Success•6 minutes
Hands-on Lab: AI Product Development Challenges and Opportunities•15 minutes
Reading: Tools for AI Product Managers•5 minutes
Reading: Commercializing AI Products: A Checklist•5 minutes
Hands-on Lab: Leverage AI Tools to Develop a Product•15 minutes
Reading: Case Study: "My Toothcase" Success•5 minutes
Module 2 Glossary: Integrating AI into the Product Management Lifecycle •5 minutes
Final Submission and Evaluation
Module 3•2 hours to complete
Module details
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
Show info about module content
2 readings•Total 4 minutes
Congratulations and Next Steps •3 minutes
Thanks from the Course Team•1 minute
1 assignment•Total 30 minutes
Final Exam•30 minutes
2 plugins•Total 63 minutes
Reading: Project Overview•3 minutes
Final Project: Expanding Market Reach for AI Products•60 minutes
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