Artificial Intelligence is transforming every industry, and the ability to manage AI-driven products is now one of the most in-demand skills in the tech landscape. This course provides a complete roadmap for mastering the art and science of AI product management鈥攂ridging the gap between data science, engineering, and business strategy.
AI Product Management: The Complete Handbook
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Gain insight into a topic and learn the fundamentals.
Beginner level
Recommended experience
3 weeks to complete
at 10 hours a week
Flexible schedule
Learn at your own pace
What you'll learn
Develop a clear AI product roadmap and career strategy
Understand core AI/ML capabilities and their business applications
Align AI initiatives with organizational goals and ethical standards
Skills you'll gain
- Product Lifecycle Management
- Machine Learning
- Deep Learning
- Data Infrastructure
- AI Product Strategy
- Responsible AI
- Technical Product Management
- Artificial Intelligence and Machine Learning (AI/ML)
- Artificial Intelligence
- Team Performance Management
- Product Management
- Commercialization
- Digital Transformation
- Product Design
- Data-Driven Decision-Making
- Generative AI
- MLOps (Machine Learning Operations)
- User Interface and User Experience (UI/UX) Design
- Product Strategy
Details to know
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Recently updated!
November 2025
Assessments
19 assignments
Taught in English
See how employees at top companies are mastering in-demand skills
There are 19 modules in this course
In this section, we explore AI, ML, and DL definitions, compare algorithm differences, and examine infrastructure for scalable AI deployment, providing foundational knowledge for effective AI product development.
What's included
2 videos16 readings1 assignment
In this section, we cover AI model development, NPD stages, and ethical retraining for effective product governance.
What's included
1 video9 readings1 assignment
In this section, we compare machine learning and deep learning, focusing on feature extraction, model complexity, and ethical considerations in AI deployment.
What's included
1 video8 readings1 assignment
In this section, we explore practical AI model implementation, data strategy analysis, and explainable AI design for enterprise applications. Key concepts include AI democratization and the value of generalist skills in real-world product development.
What's included
1 video7 readings1 assignment
In this section, we examine AI's role in transforming economic systems, developing AI-driven MVPs, and addressing global challenges in healthcare and governance through ethical and practical applications.
What's included
1 video6 readings1 assignment
In this section, we explore AI product development stages, team roles, and tech stack investments to build effective AI-native tools with practical applications.
What's included
1 video13 readings1 assignment
In this section, we explore productizing AI services, emphasizing differences from traditional software, AIOps/MLOps integration, and performance evaluation for scalable, reliable solutions.
What's included
1 video8 readings1 assignment
In this section, we explore AI customization for verticals, customers, and peer groups, emphasizing domain-specific strategies and data-driven insights for effective product alignment.
What's included
1 video9 readings1 assignment
In this section, we explore AI-native product design principles, focusing on user and customer journeys, explainability, and clarity to create empathetic, functional AI experiences.
What's included
1 video12 readings1 assignment
In this section, we explore value metrics, KPIs, and OKRs to measure product success and align strategy with growth goals. We emphasize transparent communication and cost analysis for competitive positioning.
What's included
1 video13 readings1 assignment
In this section, we explore AI product management strategies, emphasizing alignment, communication, and team collaboration over technical expertise alone.
What's included
1 video7 readings1 assignment
In this section, we explore AI integration in traditional products and its impact on business strategy and innovation.
What's included
1 video7 readings1 assignment
In this section, we examine AI trends and growth areas from industry research, evaluate AI readiness, and explore strategies for integrating AI into products and operations for improved outcomes.
What's included
1 video7 readings1 assignment
In this section, we examine how to evolve products into AI solutions by aligning AI adoption with product strategy and company vision, focusing on strategic planning and risk assessment.
What's included
1 video12 readings1 assignment
In this section, we cover the evolution of product design and what makes the evolved AI product special.
What's included
1 video8 readings1 assignment
In this section, we explore adapting existing software products for AI integration, focusing on strategic alignment, feedback loops, and fostering a culture of psychological safety for successful AI transformation.
What's included
1 video6 readings1 assignment
In this section, we explore pathways to becoming an AI PM, focusing on readiness, role requirements, and interview strategies. It emphasizes customer focus and community engagement for career growth.
What's included
1 video7 readings1 assignment
In this section, we explore AI PM competencies, challenges, and strategies for long-term career growth in the field.
What's included
1 video9 readings1 assignment
In this section, we explore developing an AI PM career roadmap, staying informed on AI trends, and expanding professional networks to support continuous growth and adaptability in the field.
What's included
1 video8 readings1 assignment
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Frequently asked questions
Yes, you can preview the first video and view the syllabus before you enroll. You must purchase the course to access content not included in the preview.
If you decide to enroll in the course before the session start date, you will have access to all of the lecture videos and readings for the course. You鈥檒l be able to submit assignments once the session starts.
Once you enroll and your session begins, you will have access to all videos and other resources, including reading items and the course discussion forum. You鈥檒l be able to view and submit practice assessments, and complete required graded assignments to earn a grade and a Course Certificate.
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