Lead AI like you own the room — without writing a single line of code
Six focused modules give non-technical managers the decision frameworks, business-case muscle, and governance instincts to drive AI strategy from the top — not just approve it from the sidelines.
"You don't need to understand how the engine works — you need to know how to drive, when to floor it, and when the brakes matter most."— Dr. J Raymond ABK
What you'll learn
What you'll be able to do
- Evaluate and select AI tools and vendors using a repeatable due-diligence framework
- Build and present a credible AI business case with ROI projections to C-suite stakeholders
- Identify high-value AI use cases within your team or organization and prioritize them by impact and feasibility
- Lead cross-functional AI projects by translating between technical teams and business stakeholders
- Recognize AI risks — including bias, data privacy, and model failure — and apply practical governance guardrails
- Craft a 90-day AI adoption roadmap your team can execute without a single line of code
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 · 18 lessons
AI Foundations for the Business Leader
Establishes the conceptual bedrock every subsequent module depends on. Leaders learn how AI systems actually work in plain language, survey the vendor and platform landscape, and understand why data quality and readiness are prerequisites — not afterthoughts — for any AI initiative.
- 1.1How AI Actually Works (Plain-Language Edition)Included
- 1.2The AI Landscape: Tools, Platforms, and PlayersIncluded
- 1.3Data: The Fuel Your AI Runs OnIncluded
Spotting and Prioritizing High-Value AI Opportunities
Translates foundational AI literacy into practical opportunity identification. Leaders learn structured techniques to surface use cases from within their own teams, score them objectively against impact and feasibility criteria, and define the success metrics and baselines that make later ROI calculations credible.
- 2.1Finding AI Use Cases Inside Your OrganizationIncluded
- 2.2Prioritization: Impact vs. Feasibility ScoringIncluded
- 2.3Defining Success: Metrics and Baselines Before You BuildIncluded
Evaluating AI Tools and Vendors Without a Technical Team
Equips leaders with a structured, repeatable due-diligence process for assessing AI tools and vendors independently of engineering support. Covers the build-buy-partner decision, a comprehensive vendor evaluation framework, and how to design proof-of-concept pilots that generate decision-quality evidence.
- 3.1Build, Buy, or Partner: Making the Right CallIncluded
- 3.2The AI Vendor Due-Diligence FrameworkIncluded
- 3.3Running a Proof of Concept That Actually Proves SomethingIncluded
Building the Business Case and Getting Buy-In
Transforms prioritized, metrics-grounded use cases into a compelling, financially credible business case. Leaders learn how to quantify value without a finance background, structure a narrative that resonates with C-suite stakeholders, and proactively handle the objections and political dynamics that derail AI investment decisions. A dedicated lesson on stakeholder mapping and communication is added here to bridge use-case analysis and executive presentation.
- 4.1Stakeholder Mapping and Communication StrategyIncluded
- 4.2Quantifying AI Value: ROI Without a Finance DegreeIncluded
- 4.3Structuring and Presenting the AI Business CaseIncluded
Leading AI Projects: Governance, Risk, and Cross-Functional Execution
Prepares leaders to run AI initiatives effectively once funding is secured. Covers the translation layer between technical and business teams, the specific risks AI introduces (bias, privacy, hallucination, model drift), and practical governance mechanisms leaders can implement without writing policy from scratch. Sequenced after the business case module because governance and execution planning are most meaningful once an initiative has been approved.
- 5.1Translating Between Technical Teams and Business StakeholdersIncluded
- 5.2AI Risks: Bias, Privacy, and Model FailureIncluded
- 5.3Practical AI Governance: Guardrails You Can Actually EnforceIncluded
Your 90-Day AI Adoption Roadmap
Synthesizes all prior learning into a concrete, executable 90-day plan. Leaders design a phased roadmap with milestones and quick wins, develop a change management approach that addresses human resistance, and practice presenting and defending the plan under scrutiny. The module culminates in a complete, personalized deliverable learners can act on the day they leave the program.
- 6.1Designing Your Roadmap: Phases, Milestones, and Quick WinsIncluded
- 6.2Change Management: Getting Your Team Ready for AIIncluded
- 6.3Presenting and Defending Your 90-Day PlanIncluded
Who it's for
Is this you?
Operations Directors
You're being asked to automate processes and cut costs with AI — this gives you the use-case scoring and vendor framework to make those calls confidently.
Marketing VPs
AI tools are reshaping your stack fast; you need the literacy to evaluate them critically and the business-case skills to secure budget for the right ones.
Product Managers
You're translating between engineering and the business every day — this school gives you the AI-specific language and governance instincts to lead that conversation with authority.
C-Suite Executives
You're setting AI strategy at the organizational level and need a structured framework for risk, governance, and ROI — not another 101-level explainer.
Team Leads Moving Up
You're stepping into senior roles where AI decisions land on your desk — this school accelerates the leadership credibility that usually takes years to build.
Business Unit Managers
Your team is being handed AI tools without a clear strategy; you'll leave with a 90-day roadmap and the change management approach to actually make adoption stick.
Questions
Frequently asked
Your teacher
A note from your teacher
Dr. J Raymond ABK
Let me guess where you are right now.
AI is everywhere in your organization — in vendor pitches, board conversations, and your CEO's quarterly priorities. You're sharp, experienced, and trusted with high-stakes decisions. And yet, when the conversation turns technical, there's a moment — brief, but real — where you're working a little harder to project confidence than you'd like. That's not a knowledge gap. That's a framing gap. And it's exactly what this school is designed to close.
I built Lead AI Without Code because the people most responsible for AI decisions — managers, directors, VPs, and executives in business, ops, marketing, and product — are almost entirely underserved by existing AI education. The courses are written for developers. The books are written for enthusiasts. Nobody is writing for the leader who needs to evaluate a vendor on Friday, build a business case by end of quarter, and manage a cross-functional team that includes people who know far more about the technology than they do. Until now.
Every module in this curriculum is built backward from a decision you actually have to make. How do I know if this AI use case is worth pursuing? How do I pressure-test a vendor without a data scientist in the room? How do I quantify ROI when the benefits are partly intangible? How do I govern AI responsibly without becoming the department of "no"? These are the questions. The frameworks here are the answers — repeatable, practical, and tested against the messy reality of how organizations actually move.
What you will not find here: condescension toward non-coders, coding exercises dressed up as "accessible," or theoretical AI history that has no bearing on your quarterly plan. What you will find: crisp frameworks, real decision tools, and a 90-day roadmap template you can walk into your next leadership meeting and defend.
The leaders who will shape how AI gets used in their industries aren't necessarily the ones who can build the models. They're the ones who ask the right questions, protect their organizations from the real risks, and move faster than everyone else who's still waiting to feel "ready." You don't need to wait. Let's get to work.
— Dr. J Raymond ABK
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- 6 modules, 18 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