

His expertise spans modern product management, Agile methodologies, analytics, and the practical application of artificial intelligence in business environments. He is the author

By the end of this course, you will be able to:
- Explain the fundamentals of product management, including key responsibilities, the product lifecycle, and market impact
- Compare Agile frameworks such as Scrum, Kanban, and Lean, and determine their best applications in product development
- Create a structured product roadmap that aligns with business goals and adapts to changing market conditions
- Analyse how AI-driven insights enhance market research, user experience, and data-driven decision-making
- Apply design thinking principles to improve user-centric product development and innovation strategies
- Evaluate different backlog prioritisation techniques, including MoSCoW, RICE, and Kano models
- Assess the impact of AI on product management, including automation, ethical considerations, and emerging trends
- Identify ethical challenges in AI-driven product management, bias, data privacy, and responsible AI implementation
- Discuss leadership strategies for managing stakeholders, cross-functional teams, and organisations






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