Ten two-hour lessons designed to take you from AI novice to confident, careful professional user — with verification built into every task.
Most AI training teaches people how to get AI to produce something. This course goes further: it teaches you when to use AI, how to check what it gives you, and when not to trust it. That's the difference between AI dependency and AI judgment.
No coding is required. You only need basic computer literacy — email, documents, and web browsing. The course is built for adults from varied educational backgrounds, with administrative staff, office teams, and HR professionals as the primary audience, though it works equally well for individual professionals and small business owners.
Each two-hour session introduces concepts, walks through real examples, and ends with a lesson-specific verification checkpoint you'll apply immediately.
Pattern-matching vs. understanding. What AI does well, what it can't do, and why it sometimes sounds certain while being wrong. Sets the mental model for everything that follows.
A consistent framework — role, goal, specific details, rules and constraints — applied across different task types. The one pattern you'll reuse for the rest of your career.
Sharpen emails, letters, and announcements for clarity, tone, concision, and correctness — while keeping human judgment and your authentic voice.
Convert meeting notes, photos, and voice memos into accurate structured outputs. The No-New-Facts rule and how to verify AI has not quietly invented details.
Data classification, redaction, and bias recognition. The Four Checks framework — a discipline you will apply to every AI output afterward.
Excel and Google Sheets. Use AI to clean data, generate formulas, and create visualizations — with manual verification as a required step, not an afterthought.
Extract themes, risks, and action items using structured prompts. Learn how to critically assess AI summaries for completeness, omissions, and misemphasis.
Use research-grade AI tools to produce short, traceable briefs with cited sources, uncertainty notes, and explicit next-step questions.
Produce AI-assisted images, slides, and visual outputs responsibly — with awareness of copyright, intellectual property, and cultural or professional appropriation.
High-stakes text — policies, contract-like documents. Use AI to identify questions, ambiguities, and risks without ever treating it as the authority.
Finding patterns in training data to produce probable outputs — and what it does not do (understand meaning, exercise judgment, or recognize its own errors).
Use a consistent framework — role, goal, specific details, rules and constraints — adapted across different task types.
Emails, letters, announcements — for clarity, tone, concision, and correctness while maintaining human judgment and voice.
Meeting notes, photos, voice memos into structured outputs, applying the No-New-Facts rule and verifying everything.
Data classification, redaction, bias recognition, and The Four Checks framework — throughout all AI-assisted work.
Excel and Google Sheets compatible. Clean data, generate formulas, and produce visualizations — with manual verification.
Themes, risks, action items from documents — using structured prompts and critically assessing AI summaries.
Produce short, traceable briefs that include cited sources, uncertainty notes, and clear next-step questions.
Images, slides, and presentations — with awareness of copyright, intellectual property, and cultural appropriation.
On high-stakes text — policies and contract-like documents. Identify questions, ambiguities, and risks without AI as authority.
Across all task types — by applying lesson-specific verification checkpoints and a personal verification checklist.
Twenty hours that will change how you work — and how you decide what to trust.