Course overview
Explore and prioritize AI opportunities using product-focused analysis: identify high-value use cases, frame problems, and conduct pragmatic assessments of feasibility, data readiness and risks. Emphasis on ROI hypotheses and concrete success metrics.
Outlines methods to identify AI opportunities that deliver real value and to separate promising use cases from anti-patterns.
Details problem framing techniques to define clear product objectives and avoid design pitfalls.
Explains feasibility checks, data readiness criteria and risk assessment to inform prioritization decisions.
Covers how to formulate ROI hypotheses and actionable success metrics to steer product iterations.
Skills and topics covered
Access the platform
Open the catalogue to review course details, access conditions, and your personal progress. Sign in.