AI for Executives (Video Course)

Description

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

About Pearson Video Training

Pearson publishes expert-led video tutorials covering a wide selection of technology topics designed to teach you the skills you need to succeed. These professional and personal technology videos feature world-leading author instructors published by your trusted technology brands: Addison-Wesley, Cisco Press, Pearson IT Certification, and Que. Topics include IT Certification, Network Security, Cisco Technology, Programming, Web Development, Mobile Development, and more. Learn more about Pearson Video training at http://www.informit.com/video.

Video lessons are available for download for offline viewing within the streaming format. Look for the green arrow in each lesson.

Sample Content

Table of Contents

Lesson 1: Assess Your Data Foundation

1.1 Define AI strategy as a leadership problem

1.2 Score your AI maturity

Lesson 2: Assess Your Data Foundation

2.1 Assess your data readiness before you fund a model

2.2 Evaluate data quality, governance, and ownership

Lesson 3: Build a Case That Gets Funded

3.1 Calculate the true cost:Compute, data, talent, and the line items you missed

3.2 Pick your thesis: Augment, enhance, or replace

3.3 Test AI product-market fit

3.4 Decide: Build, buy, or partner

Lesson 4: Budget AI Before It Budgets You

4.1 Calculate the true cost: Compute, data, and talent

4.2 Capex, opex, and phased models

4.3 Build an ROI model you can defend

Lesson 5: Govern AI to Ship Faster

5.1 Design governance that accelerates

5.2 Assign liability when AI makes decisions

Lesson 6: Leverage AI Across Borders

6.1 Leverage AI across international markets

6.2 Manage cross-border data flows and architecture

Lesson 7: Measure AI at Three Altitudes

7.1 Track strategic KPIs: Revenue, market share, positioning

7.2 Track operational KPIs: Adoption, cycle time, compliance

7.3 Track tactical KPIs: Performance, cost per inference, Latency

Lesson 8: Getting Your Organization Ready

8.1 Pick your operating model: Centralized, federated, or hub-and-spoke

8.2 Hire, upskill, and retain AI talent

Updates

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