Become the AI-first leader.
7 modules · 32 lessons · 7 hours. Start at the top, or jump to what you need.
Your progress
Loading your progress…
Start the course
The Nesting Hierarchy: AI, ML, GenAI, LLMs, Agents
AI Fluency for Leaders
Build the core mental model: how AI, machine learning, generative AI, LLMs, and agents nest together, what each does for the business, and what risk each carries. Cut through the jargon and the hype so you can hold your own in any AI conversation and spot when a demo is hiding the hard work.
The Nesting Hierarchy: AI, ML, GenAI, LLMs, Agents
Five terms leaders confuse — and why it matters
13 minHow Generative AI Actually Works (No Math)
Autocomplete on steroids, and why that explains everything
12 minHallucination, RAG & Grounding in Your Data
Why AI invents things — and the main enterprise fix
13 minThe Executive Jargon Decoder
Tokens, context windows, multimodal, copilots and agents
11 minWhat AI Is Good and Bad At
AI is unevenly brilliant and the boundary is invisible. Learn the jagged-frontier evidence, why AI augments novices most, where it is genuinely strong versus silently wrong, and the single hardest leadership skill: interrogating an AI claim instead of accepting it.
The Jagged Frontier
AI is unevenly brilliant and the edge is invisible
13 minAugmentation Beats Replacement
AI lifts your novices most — the evidence
12 minGenuinely Good vs. Genuinely Risky
Where value is real and where leaders over-trust
12 minInterrogating an AI Claim
Never accept '90% accurate' at face value
11 minWhere AI Creates Business Value
Everyone has AI; almost nobody has AI value. Map where value actually concentrates by function, separate quick wins from transformational bets, study the proof points and cautionary cases, and learn why ~95% of pilots never move the P&L.
The Adoption-Value Gap
Everyone has AI; almost nobody has AI value
13 minWhere Value Concentrates by Function
The function map — and where not to start
14 minQuick Wins vs. Transformational Bets
Sequencing your AI portfolio
12 minProof Points and Cautionary Tales
Klarna, JPMorgan, and the both-sides case
13 minAgentic AI for Business
Agents pursue goals and take actions across your systems — a step change in value and risk. Learn the 'who is steering?' distinction, the building blocks of an agent, the digital-worker thesis, what's real in 2025-2026 versus hype, and how to avoid 'agent washing'.
What Makes Something an Agent
Goals, tools, memory, planning — and autonomy
13 minChatbot vs. Copilot vs. Agent
The 'who is steering?' distinction
12 minThe Next Value Wave — and the Paradox
Horizontal copilots vs. vertical agentic workflows
13 minWhat's Real, What's Hype, What's Risky
Narrow supervised agents, agent washing, and new risks
13 minThe Enterprise Agent Platform Landscape
Where leaders will buy or build agents
11 minAI Strategy, Build-vs-Buy & Data
There is no standalone AI strategy — only business strategy strengthened by AI. Decide build vs. buy vs. partner, understand why models commoditize and data is the only durable moat, prioritize use cases, and read the true cost of AI.
There Is No Standalone AI Strategy
Only business strategy strengthened by AI
12 minBuild vs. Buy vs. Partner
A decision framework, and why buy usually wins
13 minThe Moat Is the Data, Not the Model
Why models commoditize and data compounds
13 minPrioritizing Use Cases & Reading the True Cost
Value x feasibility, and what AI really costs
13 minAdoption, Operating Model & Governance
Most AI failures are organizational, not technical. Master the change-management, operating-model, and workforce levers that turn pilots into value — and the governance and regulatory stack (EU AI Act, NIST AI RMF, ISO 42001) every board must own.
Why AI Initiatives Fail (and the 10-20-70 Rule)
The failure is organizational, not technical
13 minThe AI Operating Model
Hub-and-spoke, the CoE, and empowering managers
12 minChange Management & the Workforce
Reskilling, trust, and the manager reality gap
13 minThe AI Risk Taxonomy for Boards
Eight risks every leader must be able to ask about
14 minThe Governance Stack: EU AI Act, NIST, ISO 42001
Three frameworks, one program
14 minBuilding the Governance Function
From committee to Chief AI Officer
12 minThe AI Champion's Playbook
Your capstone. Turn everything into action: a 90-day and first-year plan, the right questions to ask vendors and teams, the KPIs and ROI tiers that prove value, a governance cadence, and a way to keep up without chasing every release. Walk away with a personal AI playbook.
Becoming the AI Champion
Why the CEO and C-suite must own this
12 minThe Right Questions to Ask
A leader's question bank for vendors and teams
12 minKPIs and the Three-Tier ROI Stack
Prove value, avoid vanity metrics
13 minThe 90-Day and First-Year Plan
From literacy to scaled value
14 minKeeping Up Without Chasing Every Release
Durable principles vs. volatile specifics
11 min