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—bridging the gap between data science, engineering, and business strategy.
AI Product Management: The Complete Handbook
您将学到什么
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
您将获得的技能
- MLOps (Machine Learning Operations)
- Responsible AI
- AI Product Strategy
- Data-Driven Decision-Making
- Data Infrastructure
- Product Management
- Deep Learning
- Technical Product Management
- Product Strategy
- User Interface and User Experience (UI/UX) Design
- Generative AI
- Product Design
- Artificial Intelligence
- Digital Transformation
- Machine Learning
- Product Lifecycle Management
- Artificial Intelligence and Machine Learning (AI/ML)
- Commercialization
- Team Performance Management
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November 2025
作业
19 项作业
授课语言：英语（English）
了解顶级公司的员工如何掌握热门技能
该课程共有19个模块
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.
涵盖的内容
2个视频16篇阅读材料1个作业
In this section, we cover AI model development, NPD stages, and ethical retraining for effective product governance.
涵盖的内容
1个视频9篇阅读材料1个作业
In this section, we compare machine learning and deep learning, focusing on feature extraction, model complexity, and ethical considerations in AI deployment.
涵盖的内容
1个视频8篇阅读材料1个作业
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.
涵盖的内容
1个视频7篇阅读材料1个作业
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.
涵盖的内容
1个视频6篇阅读材料1个作业
In this section, we explore AI product development stages, team roles, and tech stack investments to build effective AI-native tools with practical applications.
涵盖的内容
1个视频13篇阅读材料1个作业
In this section, we explore productizing AI services, emphasizing differences from traditional software, AIOps/MLOps integration, and performance evaluation for scalable, reliable solutions.
涵盖的内容
1个视频8篇阅读材料1个作业
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.
涵盖的内容
1个视频9篇阅读材料1个作业
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.
涵盖的内容
1个视频12篇阅读材料1个作业
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.
涵盖的内容
1个视频13篇阅读材料1个作业
In this section, we explore AI product management strategies, emphasizing alignment, communication, and team collaboration over technical expertise alone.
涵盖的内容
1个视频7篇阅读材料1个作业
In this section, we explore AI integration in traditional products and its impact on business strategy and innovation.
涵盖的内容
1个视频7篇阅读材料1个作业
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.
涵盖的内容
1个视频7篇阅读材料1个作业
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.
涵盖的内容
1个视频12篇阅读材料1个作业
In this section, we cover the evolution of product design and what makes the evolved AI product special.
涵盖的内容
1个视频8篇阅读材料1个作业
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.
涵盖的内容
1个视频6篇阅读材料1个作业
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.
涵盖的内容
1个视频7篇阅读材料1个作业
In this section, we explore AI PM competencies, challenges, and strategies for long-term career growth in the field.
涵盖的内容
1个视频9篇阅读材料1个作业
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.
涵盖的内容
1个视频8篇阅读材料1个作业
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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’ll 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’ll 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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