What will you learn in Microsoft AI Product Manager Professional Certificate course
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Understand the fundamentals of AI-powered product management.
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Learn how to identify AI opportunities within business products and services.
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Translate business requirements into AI-driven product features.
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Work effectively with data scientists, engineers, and stakeholders.
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Understand AI model lifecycle, evaluation, and deployment basics.
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Apply responsible AI principles, governance, and ethical frameworks.
Program Overview
Foundations of AI Product Management
⏳ 3–4 weeks
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Learn the role of an AI Product Manager.
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Understand differences between traditional and AI-driven products.
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Explore real-world AI product case studies.
AI Technologies and Capabilities
⏳ 4–5 weeks
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Learn key AI concepts including machine learning, NLP, and computer vision.
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Understand data requirements and model training basics.
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Explore AI service integration within product ecosystems.
Building and Managing AI Products
⏳ 3–4 weeks
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Define product vision and AI value propositions.
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Create roadmaps and prioritize AI features.
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Collaborate with cross-functional technical teams.
Responsible AI and Product Governance
⏳ 2–3 weeks
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Learn about fairness, bias, transparency, and privacy.
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Apply governance frameworks in AI product development.
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Monitor AI performance and risk in production environments.
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Job Outlook
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Highly relevant for Product Managers, Associate PMs, and Business Analysts transitioning into AI roles.
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Growing demand for AI-savvy product leaders in tech and enterprise sectors.
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Valuable for roles such as AI Product Manager, Technical Product Manager, and Innovation Lead.
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Aligns with digital transformation and AI-driven product strategy careers.
