AI Augmented Product Management

Overview

Live Broadcast Times

Learning Outcomes

• Design agentic product systems with appropriate controls.
• Develop AI evaluation, governance, and monitoring plans.
• Assess AI product opportunities for value, feasibility, risk, and economics.
• Analyze AI system behavior and failure modes for product decisions.
• Specify data and retrieval requirements for reliable AI experiences.
• Design AI user journeys for ambiguity, trust, and recovery.
• Build repeatable AI-assisted product-management workflows.
• Formulate an AI-native product strategy for future opportunities.

Who should Enroll

• Product Managers
• Product Owners
• Business Analysts
• Product Leads
• Innovation Leads
• Digital Product Professionals
• Transformation Professionals
• Experienced practitioners moving into AI product roles

Instructor

Moatasem Hatem Morsy

Moatasem Hatem is a Product Leader with over 10 years of experience building AI-powered products across FinTech and enterprise software, with work spanning Saudi Arabia, the wider Gulf region, and Africa. He is PMP-certified and is completing his MBA. His hands-on experience covers Generative AI and machine learning products, from shaping the vision and defining requirements to launching and scaling them with data science and engineering teams. In this course, he shows product professionals how to apply AI across the product lifecycle, using practical examples from real products.

1 Training Courses5 Learners

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