
AI Product Management: Mastering the Future
The new tools that Product Managers need to master so as not to get left behind have arrived. By understanding and implementing AI in your Product processes, you will gain efficiency in your role, master the new technologies driving company success, and lead your team better.
You will gain a solid understanding of AI concepts, including its subfields, historical development, and real-world applications across industries. You will also explore ethical considerations in AI and the role of product managers in the AI product lifecycle.
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Module 1: Introduction to AI and Its Relevance in Product Management
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Module 1 introduction
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Chapter 1: Understanding the Basics of AI
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Chapter 2 AI Applications in Different Industries
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Chapter 3: Ethical and Legal Considerations in AI
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Chapter 4: Introduction to AI Product Lifecycle
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Chapter 5: Assignment: Identifying AI Opportunities
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Chapter 6: Guest Speaker: AI in Product Management
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Module 2: AI Integration in Product Development
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Module 2 introduction
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Chapter 7: AI Integration in Product Development
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Chapter 8: Interview: Collaboration between Product and AI Teams
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Chapter 9: Prototype Development
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Chapter 10: AI Model Integration
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Chapter 11: Assignment: AI Prototype Planning
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Chapter 12: Guest Speaker: AI Collaboration Challenges
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Module 3: Data, Models, and Optimization
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Module 4: AI Product Launch, User Engagement, and Future Considerations
Meet your instructors ✳
RAMI ALHAMAD
JOHN HAGGERTY
John Haggerty is an industry-leading product management and strategy expert with an impressive career in the property, financial, and marketing tech sectors. He has significantly contributed to transformative innovations at Highway.ai, ListReports, Prodege, and Datasite. His dedication to customer-centric approaches and expertise in Agile and Lean methodologies have cemented his reputation. With almost 20 years in the industry, John is a respected figure and influential thought leader in the tech space.
Rami Alhamad is a startup founder and product strategy advisor passionate about being on the cutting edge of technology. He was formerly the VP of Product at WHOOP after successfully acquiring PUSH, a wearables sport-tech startup he founded in 2013. PUSH served over 150 professional sports organizations, including the San Francisco 49ers, Chelsea FC, US Olympic Teams, and Tokyo Giants.
What you’ll learn
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Through hands-on assignments and case studies, you will learn to identify AI opportunities, define product requirements, foster collaboration between product and AI teams, and develop AI prototypes. You'll also dive into the importance of user feedback and model testing in product development.
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We will equip you with the essential knowledge to handle data, select and train machine learning models, and continuously monitor and improve AI product performance. You'll also understand about scaling AI products and infrastructure.
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Explore AI product launch strategies, user feedback analysis, and effective scaling approaches. You will gain insights into the future of AI in product management and collaborate on a comprehensive AI-enhanced product proposal, culminating in a holistic understanding of AI's role in modern product management practices.