Learn how to measure and demonstrate AI business value by defining KPIs that capture both tangible gains and intangible ones like customer satisfaction, and establishing baseline metrics before launch so improvement can be proven rather than assumed. You will also calculate ROI across time savings, cost reduction, and productivity gains, identify leading indicators that predict success, and control the cost drivers that grow after deployment.
AI Business - Measure and Demonstrate AI Business Value
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AI Business - Measure and Demonstrate AI Business Value
This course is part of AWS AI Business Strategist Professional Certificate
Instructor: AWS Instructor
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Beginner level
Recommended experience
1 hour to complete
Flexible schedule
Learn at your own pace
What you'll learn
Distinguish the KPIs that prove AI value to a specific stakeholder from the ones that only look convincing on a slide
Apply a four-component ROI framework that accounts for direct savings, indirect gains, hidden costs, and productivity gains
Identify the cost drivers behind AI budget overruns and apply controls that address the cause rather than the symptom
Skills you'll gain
- Stakeholder Communications
- Value Propositions
- Performance Analysis
- Digital Transformation
- Generative AI
- Key Performance Indicators (KPIs)
- Cost Control
- Business Transformation
- Return On Investment
- Business Metrics
- Innovation
- Data-Driven Decision-Making
- Artificial Intelligence
- Performance Metric
- Business Strategy
- Performance Measurement
- Technology Strategies
- Strategic Decision-Making
Tools you'll learn
Details to know
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Recently updated!
October 2026
Assessments
9 assignments
Taught in English
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This course is part of the AWS AI Business Strategist Professional Certificate
When you enroll in this course, you'll also be enrolled in this Professional Certificate.
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