AI for Executives By Matthew Blasa

Operational frameworks for funding, governing, measuring, and shipping AI
Overview
This course equips decision-makers with budgeting models for AI programs, governance structures that enable speed and accountability, regulatory guidance for operating AI across international markets, and a three-tier measurement system that connects strategic objectives to operational and technical performance.
Real-world case studies
Concrete examples of AI strategy successes and failureswhat worked, what didnt, and why. No hypotheticals.
Strategic frameworks
Reusable decision-making tools (AI Strategy Canvas, TCO model, three-tier KPI framework, regulatory readiness checklist) that learners bring into their next meeting, not their next lab session.
Skill Level
Beginner to Intermediate
Learn How To
Assess where AI creates measurable business value and where current investments are underperforming
Build AI business cases with budgeting and ROI frameworks that align technical initiatives to business outcomes
Evaluate the strategic choice between augmenting, enhancing, or replacing existing capabilities with AI
Establish AI governance structures that enable speed and accountability across domestic and international regulatory environments
Measure AI performance across strategic, operational, and tactical levels using an integrated three-tier framework
Course requirement
Prerequisites
Conceptual understanding of what AI and machine learning are (not how to build them)
Familiarity with business strategy fundamentals: business models, KPIs, ROI
No coding, data science, or technical AI experience required.
Who Should Take This Course
Job titles
Primary
Entrepreneurs and founders
Business leaders and executives (VP, SVP, C-suite)
Strategy leads
Secondary
Management consultants
IT directors/CIOs
Strategy and operations analysts
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