Lead AI at the Highest Level — Without Writing a Line of Code
Six modules of boardroom-ready frameworks, governance fluency, and decision-making tools built specifically for senior leaders who are accountable for AI outcomes — and need to be unimpeachably credible in every room they walk into.
"The leaders who will shape the AI era aren't those who understand the technology best — they're those who direct it with the most strategic clarity and accountability."— Dr. J Raymond ABK
What you'll learn
What you'll be able to do
- Build and present a credible enterprise AI strategy aligned to business objectives and competitive positioning.
- Evaluate AI vendor proposals, model capabilities, and technical roadmaps with confident, informed skepticism.
- Design AI governance frameworks that manage risk, bias, regulatory compliance, and stakeholder accountability.
- Lead cross-functional AI initiatives by aligning engineering, legal, HR, and finance teams around shared success metrics.
- Make high-stakes build-vs-buy-vs-partner decisions for AI systems using structured financial and operational criteria.
- Communicate AI vision persuasively to boards, investors, regulators, and frontline employees with clarity and authority.
How it works
A school that adapts to you
This isn't a set of static videos. Every lesson is generated live and tuned to where you actually are.
We learn your level
A quick placement check tailors your starting point so you're never bored or lost.
Lessons adapt as you go
Each lesson is written for your pace and your goal, adjusting as your skills grow.
Your AI coach keeps you moving
Checkpoints, feedback, and gentle nudges turn progress into a real result.
The curriculum
What's inside your school
6 modules · 20 lessons
AI Fluency for Senior Leaders
Establishes the essential conceptual foundation every executive needs before engaging with strategy, governance, or vendor decisions. Without this shared mental model, subsequent modules cannot be applied with confidence. This module deliberately avoids unnecessary technical depth while building just enough fluency to ask the right questions, detect overreach, and engage credibly with technical teams.
- 1.1How AI Systems Actually Work — The Executive Mental ModelIncluded
- 1.2The AI Capability Landscape — What Exists, What's Emerging, What's VaporwareIncluded
- 1.3Reading AI Research and Technical Roadmaps Without a PhDIncluded
Enterprise AI Strategy and Competitive Positioning
Translates AI fluency into strategic action. Leaders learn to scan their competitive environment through an AI lens, identify and prioritize opportunities against business objectives, construct a rigorous enterprise AI strategy, and communicate that strategy credibly to demanding audiences including boards, investors, and regulators. Sequenced after fluency so that strategic choices are grounded in realistic capability assessment.
- 2.1Competitive Intelligence and the AI-Driven Industry LandscapeIncluded
- 2.2Identifying and Prioritizing High-Value AI OpportunitiesIncluded
- 2.3Building Your Enterprise AI StrategyIncluded
- 2.4Presenting AI Strategy to Boards, Investors, and RegulatorsIncluded
AI Vendor Evaluation and the Build-vs-Buy-vs-Partner Decision
Equips leaders to make one of the most consequential and frequently mishandled AI decisions: how to source AI capabilities. Covers the structured analytical framework for the build-vs-buy-vs-partner decision, the skills to evaluate vendor proposals with genuine skepticism, and the operational discipline to negotiate and manage ongoing vendor relationships. Sequenced after strategy so that sourcing decisions are driven by strategic priorities rather than vendor momentum.
- 3.1Structuring the Build vs. Buy vs. Partner DecisionIncluded
- 3.2Evaluating AI Vendor Proposals with Informed SkepticismIncluded
- 3.3Negotiating AI Partnerships and Managing Vendor RelationshipsIncluded
AI Governance, Risk, and Regulatory Compliance
Addresses the leadership responsibility that is most often under-resourced and misunderstood: governing AI systems responsibly. Covers governance framework design, bias and fairness management, the evolving global regulatory landscape, and organizational accountability when AI systems cause harm. Sequenced after vendor evaluation because governance requirements directly shape sourcing and contractual decisions — but positioned before cross-functional leadership so that governance structures inform how teams are organized and measured.
- 4.1Designing an AI Governance FrameworkIncluded
- 4.2Managing AI Bias, Fairness, and ExplainabilityIncluded
- 4.3AI Regulatory Landscape and Compliance StrategyIncluded
- 4.4Incident Response and Accountability When AI Systems FailIncluded
Leading Cross-Functional AI Initiatives
Addresses the organizational leadership challenge that most often determines whether a technically sound AI strategy actually succeeds: aligning diverse functions, cultures, and incentive structures around shared AI goals. Covers stakeholder alignment, success metric design, change management, and workforce transition. Sequenced after governance so that leaders can communicate governance requirements and accountabilities as part of their alignment work with cross-functional teams.
- 5.1Aligning Stakeholders Across Engineering, Legal, HR, and FinanceIncluded
- 5.2Defining AI Success Metrics and Measuring Organizational ImpactIncluded
- 5.3Managing AI Change, Culture, and Workforce TransitionIncluded
AI Strategy Capstone — From Insight to Execution
Integrates all prior learning into a high-stakes, real-world deliverable: a complete, defensible enterprise AI strategy. The capstone is deliberately structured as an executive experience — leaders must synthesize fluency, strategic analysis, governance design, sourcing decisions, cross-functional leadership plans, and stakeholder communication into a single coherent artifact, then defend it under rigorous peer and facilitator challenge. A structured reflection lesson is added to the draft to ensure learning is consolidated and transferable to each leader's real organizational context.
- 6.1Capstone Preparation — Strategy Integration and Gap AnalysisIncluded
- 6.2Capstone Project — Building Your Enterprise AI StrategyIncluded
- 6.3Strategy Defense and Executive Peer ChallengeIncluded
Who it's for
Is this you?
The C-Suite Strategist
A CEO or COO who needs to set a credible, board-defensible AI strategy before competitors force the issue.
The Governance-Accountable VP
A VP of Risk, Compliance, or Legal who must build AI governance frameworks that survive regulatory scrutiny and internal audit.
The Operations Director
A senior operations leader evaluating AI vendors and automation investments who needs structured criteria, not sales decks.
The Policy Executive
A government or public-sector director responsible for AI policy who needs fluency in both the technology and the governance landscape.
The Cross-Functional Initiative Lead
A director tasked with driving an enterprise AI rollout who needs to align engineering, HR, finance, and legal around shared success metrics.
The Board-Facing Executive
A CFO or Chief Digital Officer who must communicate AI vision and investment rationale persuasively to boards and investors.
Questions
Frequently asked
Your teacher
A note from your teacher
Dr. J Raymond ABK
If you're reading this, you're probably already being asked to make high-stakes decisions about AI — budgets, vendors, governance policies, board presentations — and you may be doing it with less structured support than you deserve. You're not looking for a beginner's guide. You're looking for a rigorous framework that matches the complexity of your role and the seriousness of what's at stake.
That's exactly what this program is designed to be.
The gap I see most often at the senior leadership level isn't knowledge of AI — it's decision architecture. Leaders who are exceptionally sharp on business strategy, operations, and finance find themselves in rooms where technical teams present AI roadmaps, vendors make capability claims that range from compelling to wildly overstated, and regulatory requirements are shifting under their feet. Without a structured way to evaluate what they're hearing, even seasoned executives can be led by the technical narrative rather than leading it. This program closes that gap — with precision.
Everything in this curriculum was designed around the decisions you actually make: whether to build, buy, or partner for a given AI capability; how to design a governance framework that holds up to regulatory scrutiny and board-level accountability; how to align legal, HR, finance, and engineering around AI initiatives without those initiatives dying in cross-functional friction; how to read a technical roadmap critically, without needing to write the code yourself. These aren't theoretical exercises — they're the high-stakes choices that determine whether an organization's AI investment compounds or quietly erodes.
The capstone is where it all becomes real. You won't summarize what you've learned — you'll build and defend a full enterprise AI strategy in front of peers who will challenge it with the same rigor your board would. That's not an academic exercise. That's practice for the room you're already in.
I designed this program for leaders who bring intellectual rigor to every domain they lead — and who are ready to bring that same rigor to AI strategy. If you're ready to lead this agenda with confidence, clarity, and the kind of evidence-backed conviction that holds up under pressure, I'd like to work with you.
— Dr. J Raymond ABK
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- 6 modules, 20 lessons
- AI-adaptive lessons tuned to your level
- Quizzes & checkpoints to lock in progress
- Your own AI learning coach
- Learn on any device, at your pace
- Full access for as long as you're subscribed