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AI Training for Teams

Make your whole team AI-ready and safe — practical literacy for every employee, and the strategy, governance, and ROI skills your leaders need to guide adoption.

Which course should I take?

How much do you code today?

What's your goal?

AI-Ready Employee

Track A

AI literacy for every employee — use AI well and safely, no coding.

Step 1
AI Foundations: What It Is and How It Actually Works
Start here. Understand what AI really is, how it works in plain English, and what it's genuinely good (and bad) at — no coding, no hype, no jargon.
Step 2
Cutting Through the Hype: AI Myths vs. Reality
The headlines swing between 'AI will take your job' and 'AI is useless.' Both are wrong. Replace the myths with a clear, calm, realistic picture of what today's AI can and can't do.
Step 3
AI as a Teammate: Augmenting Your Job, Not Replacing It
Stop thinking 'will AI do my job' and start thinking 'what could I do with a tireless assistant.' Learn the augmentation mindset that turns AI from a threat into leverage.
Step 4
Prompting That Works: Getting Useful Results Every Time
The single highest-leverage AI skill isn't technical — it's asking well. Learn a simple, repeatable way to write prompts that get you great results instead of generic mush.
Step 5
Writing With AI: Drafts, Edits, Tone — and Your Voice
Email, reports, posts, tricky messages — writing eats hours of everyone's week. Learn to use AI to draft faster and edit sharper while keeping the result unmistakably yours.
Step 6
Research With AI: Faster Answers You Can Actually Trust
AI can compress hours of digging into minutes — or confidently send you down a wrong path. Learn to research fast with AI while keeping a firm grip on what's real.
Step 7
Making Sense of Data With AI (No Spreadsheet PhD Needed)
You don't need to be an analyst to get insight from data anymore. Learn to have AI explain, summarize, and find patterns in your numbers — and where its math absolutely cannot be trusted.
Step 8
Everyday Productivity: Email, Meetings, Summaries, To-Dos
The real payoff of AI isn't grand — it's the twenty small frictions in every workday. Learn to point AI at email, meetings, notes, and planning to quietly hand yourself back hours a week.
Step 9
AI Security & Data Privacy: The Lines Not to Cross
The most important course in this track. AI is safe and powerful — if you respect a few firm rules about what you feed it. Learn exactly where the lines are so you get the benefit without the breach.
Step 10
Trust but Verify: Catching AI Mistakes and Hallucinations
AI's most dangerous trait is that its wrong answers look exactly like its right ones. Learn to spot hallucinations, sanity-check output fast, and never ship a confident mistake with your name on it.
Step 11
Building Your Personal AI Workflow
Scattered AI use gives scattered results. Turn the skills from this track into a repeatable personal system — the tasks you always delegate, the prompts you reuse, and the habits that make AI a permanent part of how you work.
Step 12
Putting It Together: Your AI-Ready Week
The finish line. Prove you can put the whole track into practice — safely and effectively — across a real week of your own work, and earn your AI-Ready Employee certificate.

AI-Strategic Leader

Track B

For managers and decision-makers — govern, evaluate, and lead AI adoption.

Step 1
Where AI Actually Creates Value in Your Organization
Before you invest a dollar or a policy, you need a clear-eyed view of where AI genuinely moves the needle for your business — and where it's a distraction. Learn to assess opportunity like a leader, not a hype-follower.
Step 2
Governing AI Risk: A Practical Framework for Leaders
AI's upside comes bundled with real risk — data exposure, bad decisions, compliance gaps, reputational damage. Learn a practical governance framework that manages that risk without smothering the value.
Step 3
Writing an AI-Use Policy Your Team Will Actually Follow
A policy nobody reads protects no one. Learn to write a clear, short, human AI-use policy that people can actually remember and follow — covering the essentials without drowning them in legalese.
Step 4
Evaluating and Selecting AI Tools Without the Hype
Every vendor now claims to be 'AI-powered.' Learn to cut through the marketing and evaluate AI tools on what actually matters — fit, security, cost, and real value — so you buy capability, not buzzwords.
Step 5
Communicating AI Strategy to Your Workforce
The best AI strategy fails if your people fear it, ignore it, or misunderstand it. Learn to communicate AI change in a way that lowers anxiety, builds buy-in, and turns your workforce into willing participants.
Step 6
Measuring AI ROI: What to Track and What to Ignore
AI spending is easy to justify with excitement and hard to justify with evidence. Learn to measure the real return — the costs people forget, the value that's tricky to quantify, and the metrics that actually tell you if it's working.
Step 7
Legal, Compliance, and Regulatory Obligations
AI use runs straight into privacy law, IP, industry regulation, and emerging AI-specific rules. Learn the obligations every leader should understand — enough to spot the risks, ask the right questions, and know when to call a professional.
Step 8
Building Your 12-Month AI Roadmap
The capstone. Turn everything from this track — opportunity, governance, policy, tools, communication, ROI, compliance — into a concrete 12-month plan you can put in front of your leadership and start executing Monday. Earn your AI-Strategic Leader certificate.