AI Evaluation and Investment Decisions
About this course
This course equips you to make informed decisions about generative AI investments. You'll learn to appraise AI use cases by balancing their potential for "Hard ROI" against organizational readiness and technical debt. The curriculum covers how to conduct rigorous vendor and tool evaluations within the Microsoft ecosystem, moving beyond surface-level feature checklists to assess architectural fit and long-term total cost of ownership. You will learn to structure robust investment cases that account for the Verification Tax and ongoing maintenance costs. Throughout the course, you will produce executive-level artifacts, including an AI Opportunity Prioritization Matrix, a Vendor Evaluation Scorecard, and a Multi-Year AI Financial Model. These practical exercises enable you to confidently lead technology investment decisions, effectively defend your proposals to a board of directors, and drive sustainable value realization across your enterprise.
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What you'll learn
- Evaluate generative AI use cases
- Analyze organizational readiness for AI investments
- Conduct vendor and tool evaluations in the Microsoft ecosystem
- Create executive-level investment artifacts
Course objectives
- Develop a structured approach to AI investment decisions
- Understand the implications of technical debt and maintenance costs
- Produce comprehensive financial models for AI initiatives
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