Product Management: Building AI-Powered Products

SkillUp connects AI methodology and its challenges with the work of managing a product. The sequence studies opportunities and value propositions before integrating AI across the lifecycle. It is useful for learners who need to evaluate where AI belongs in a product, rather than assuming that adding a model creates customer value.

What you will learn

• Identify AI-product opportunities and challenges.
• Explain an AI value proposition to stakeholders.
• Relate AI development to a product lifecycle.

Who this suits

Beginner-level course; familiarity with product and product-management lifecycles is expected. The IBM product-manager certificate is optional.

Before you enroll

Treat product frameworks as tools for making decisions, not evidence that a proposal will succeed. Check the customer evidence, constraints and measures behind a roadmap or launch plan.

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Put it into practice

Compare an AI feature with a simpler alternative for a fictional product. Define the customer benefit and the evidence needed to justify the added complexity.

Source and review

This overview is based on the provider's published information, checked on 12 October 2026. It is an editorial assessment, not a claim that we completed the resource. Time filters are approximate study ranges; projects and exercises can take longer.

View the curriculum and current access options at Coursera.

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