The curriculum

An interactive path from AI user to AI-native professional.

Ten modules, about 40 hours of focused work. Every module combines short lessons, tool demonstrations, and exercises you complete inside Claude, ChatGPT, or Grok — then an assessment that checks capability, not recall.

01AI User
02AI Operator
03AI Problem Solver
04AI Builder
05AI-Native Professional
01AI FoundationsWhat modern AI actually is, what it is good at, and where it fails.3h

Learning objectives

  • Explain how large language models produce answers — and why they sometimes invent them
  • Map the tool landscape: Claude, ChatGPT, Grok, and where each fits
  • Judge when AI is the right tool and when it is not

Lessons & exercises

Lesson · How LLMs think: prediction, not knowledge25 min
Lesson · The AI tool landscape for business work20 min
Case study · Hallucinations, bias, and failure modes30 min
Exercise · Exercise: pick the right tool for five real tasks35 min

Skills developed

Tool selectionCapability judgmentRisk awareness

Assessment

Scenario quiz: choose the right tool — or no tool — for 10 workplace situations.

02AI CommunicationBrief AI like you would brief a sharp new colleague.4h

Learning objectives

  • Write briefs that give AI the context, constraints, and format it needs
  • Iterate on output instead of accepting the first draft
  • Force structured, reusable output (tables, outlines, checklists)

Lessons & exercises

Lesson · Prompting is briefing: context, task, format, tone30 min
Tool demo · Tool demo: the same task, weak brief vs strong brief25 min
Lesson · Iteration loops: critique, refine, converge20 min
Exercise · Exercise: rewrite three weak prompts from real inboxes45 min

Skills developed

Brief writingIterationStructured output

Assessment

Prompt portfolio: three before/after briefs with your iteration notes.

03AI ResearchGo from question to verified, decision-ready brief.4h

Learning objectives

  • Plan a research question before touching a tool
  • Use deep-research features without trusting them blindly
  • Verify claims against primary sources and cite them

Lessons & exercises

Lesson · Framing research questions that AI can answer25 min
Tool demo · Tool demo: deep research across Claude, ChatGPT, and Grok35 min
Lesson · Verification: sources, citations, and sniff tests30 min
Exercise · Exercise: produce a one-page market brief with sources60 min

Skills developed

Research planningSource verificationSynthesis

Assessment

Research brief graded on accuracy, sourcing, and usefulness to a decision-maker.

04AI for Everyday WorkEmail, documents, spreadsheets, and meetings — done in a fraction of the time.5h

Learning objectives

  • Clear an inbox with AI-drafted, human-approved responses
  • Turn raw meeting notes into decisions, owners, and deadlines
  • Clean and interrogate spreadsheets without formulas

Lessons & exercises

Tool demo · The AI-assisted inbox: triage, draft, approve30 min
Tool demo · Meeting notes to action items25 min
Lesson · Talking to spreadsheets: analysis without formulas35 min
Exercise · Exercise: the 40-email Monday morning60 min

Skills developed

Inbox triageDocument draftingData cleanup

Assessment

Timed exercise: process a realistic inbox and meeting pack in 45 minutes.

05AI Problem SolvingDecompose messy business problems and attack them systematically.4h

Learning objectives

  • Break a vague problem into solvable pieces
  • Use AI as a thinking partner: options, trade-offs, second-order effects
  • Pressure-test your own reasoning with AI adversarial review

Lessons & exercises

Lesson · Problem framing: from complaint to question30 min
Case study · Case study: the fulfillment delay nobody could explain35 min
Lesson · Red-teaming your own plan with AI25 min
Exercise · Exercise: diagnose an operations problem from raw evidence60 min

Skills developed

Problem framingRoot-cause analysisDecision support

Assessment

Written diagnosis of a messy business scenario, scored on structure and judgment.

06AI + Company KnowledgeGround AI in your company's SOPs, data, and context — safely.4h

Learning objectives

  • Feed AI the right company context to get company-specific answers
  • Build a personal knowledge base from SOPs, docs, and past work
  • Apply data-handling rules: what may and may not leave the building

Lessons & exercises

Lesson · Context is the moat: generic vs grounded answers25 min
Tool demo · Building a working knowledge base35 min
Lesson · Privacy, confidentiality, and safe AI usage policies30 min
Exercise · Exercise: answer policy questions from a real SOP pack45 min

Skills developed

Context groundingKnowledge managementData hygiene

Assessment

Grounded Q&A task: answers must cite the correct SOP and flag outdated ones.

07AI WorkflowsTurn one-off wins into repeatable, quality-controlled workflows.4h

Learning objectives

  • Document a repeatable AI workflow anyone on the team can run
  • Build prompt templates and checklists for recurring work
  • Add quality-control steps that catch AI errors before they ship

Lessons & exercises

Lesson · Anatomy of a workflow: trigger, steps, QC, output30 min
Tool demo · Tool demo: building a reusable prompt library30 min
Lesson · Quality control: verification steps that actually catch errors25 min
Exercise · Exercise: document one workflow end-to-end60 min

Skills developed

Workflow designDocumentationQuality control

Assessment

Workflow document reviewed for clarity, completeness, and QC rigor.

08No-Code AI AutomationConnect tools and automate repetitive work — no programming required.5h

Learning objectives

  • Spot automation candidates and estimate their time savings
  • Build automations with Zapier/n8n-style tools: triggers, steps, AI in the middle
  • Design human-in-the-loop checkpoints for risky steps

Lessons & exercises

Lesson · The automation audit: finding your repetitive 10 hours30 min
Tool demo · Tool demo: an automation that drafts the weekly report40 min
Lesson · Human-in-the-loop: where people must stay in charge25 min
Exercise · Exercise: design and document one working automation75 min

Skills developed

Automation designNo-code toolingProcess mapping

Assessment

Automation proposal with workflow diagram, guardrails, and measured time saved.

09AI AgentsDelegate multi-step work to AI — and supervise it like a manager.3h

Learning objectives

  • Explain what AI agents can and cannot reliably do today
  • Delegate a multi-step task with clear scope, tools, and stop conditions
  • Review agent output the way a manager reviews a junior's work

Lessons & exercises

Lesson · Agents in plain language: loops, tools, and guardrails30 min
Tool demo · Tool demo: an agent researches and drafts while you supervise35 min
Exercise · Exercise: scope an agent task with guardrails and review criteria45 min

Skills developed

Task delegationGuardrail designOutput review

Assessment

Agent supervision plan scored on scope clarity and failure handling.

10AI-Native OperatingRun your whole role AI-native: rhythm, measurement, and continuous improvement.4h

Learning objectives

  • Design your weekly AI-native operating rhythm
  • Measure the value you create with AI in hours and dollars
  • Prepare for the certification simulation

Lessons & exercises

Lesson · The AI-native week: plan, execute, review, improve30 min
Lesson · Measuring business impact, not AI usage25 min
Case study · Case study: how a coordinator saved her team 12 hours a week30 min
Exercise · Exercise: your 30-60-90 AI-native operating plan60 min

Skills developed

Operating rhythmImpact measurementSelf-direction

Assessment

Capstone readiness check and entry to the certification simulation.

Finish the curriculum, then prove it.

The curriculum earns you entry to the business simulation — where certification is actually decided.