Curriculum: The Complete Learning Journey
The Big Picture
Section titled “The Big Picture”AI Fluency has two phases: A shared foundation (L1–L4) that everyone goes through, and three specialized paths that branch out afterward based on your role and goals.
For the technically curious, developers, solo founders
- AI-Assisted Development
- Building Without Code
- Designing Your Own AI Systems
For knowledge workers maximizing AI integration
- Cowork Mastery
- Productivity Systems
- Team Enablement
For executives, decision-makers, strategists
- AI Strategy
- Governance & Compliance
- Culture & Enablement
Shared Foundation: L1–L4
Section titled “Shared Foundation: L1–L4”Everyone starts here. Four levels, five lessons each, each with its own paradigm shift.
L1 — First Steps with AI
Section titled “L1 — First Steps with AI”Paradigm shift: “AI is not Google”
| Lesson | Topic |
|---|---|
| 1 | What Is Generative AI? |
| 2 | Tools Overview: ChatGPT, Claude, Gemini, Copilot |
| 3 | First Conversations |
| 4 | Understanding Limits: Hallucinations, Knowledge Cutoff, Privacy |
| 5 | Do’s and Don’ts |
L2 — Intentional Prompting
Section titled “L2 — Intentional Prompting”Paradigm shift: “From questions to instructions”
| Lesson | Topic |
|---|---|
| 1 | The Anatomy of a Good Prompt |
| 2 | Prompting Techniques: Zero-Shot, Few-Shot, Chain-of-Thought |
| 3 | Iteration as Method |
| 4 | Task Types: Writing, Analyzing, Summarizing |
| 5 | Good vs. Bad Prompts |
L3 — Context as Infrastructure
Section titled “L3 — Context as Infrastructure”Paradigm shift: “Invest once, benefit continuously”
| Lesson | Topic |
|---|---|
| 1 | Persistent Context — Explain Your Job Once |
| 2 | Claude Projects: Your First Persistent Workspace |
| 3 | Custom GPTs: Building Specialized AI Assistants |
| 4 | M365 Copilot: AI Embedded in Your Workflow |
| 5 | System Prompt Design: The Art of Good Instructions |
L4 — AI as Coworker
Section titled “L4 — AI as Coworker”Paradigm shift: “From answers to autonomous work”
| Lesson | Topic |
|---|---|
| 1 | From Chat to Delegation: The Autonomy Spectrum |
| 2 | Claude Cowork: The Desktop Agent |
| 3 | ChatGPT Agent Mode: AI on the Web |
| 4 | Calibrating Trust |
| 5 | Compliance Basics: What You Need to Know |
Paths After L4
Section titled “Paths After L4”After the shared foundation, choose the path that fits your role. All three paths are equally valid — none is “higher” than another.
Maker — For Builders
Section titled “Maker — For Builders”Technically curious, developers, solo founders
Module 1: AI-Assisted Development IDE integration (Cursor, Windsurf, GitHub Copilot), Claude Code, pair programming with AI, Git & CLI basics.
Module 2: Building Without Code Lovable, Bolt, v0, Replit Agent — from idea to working app in natural language. When no-code, when code, when both.
Module 3: Designing Your Own AI Systems CLAUDE.md as a “constitution,” skills, memory architecture, MCP, quality gates, context engineering, agentic AI in enterprise.
Coworker — For Integrators
Section titled “Coworker — For Integrators”Knowledge workers maximizing AI in their daily work
Module 1: Cowork Mastery Advanced connectors (Slack, Notion, Drive, CRM), multi-tool workflows, recurring tasks, troubleshooting.
Module 2: Productivity Systems Prompt libraries, AI in meetings, documentation, communication (email, reports, presentations).
Module 3: Team Enablement Peer coaching, sharing best practices, team-wide standards, measuring and communicating AI impact.
Leader — For Decision-Makers
Section titled “Leader — For Decision-Makers”Executives, strategists, decision-makers
Module 1: AI Strategy Build vs. buy, vendor selection, ROI assessment, AI readiness.
Module 2: Governance & Compliance EU AI Act (detail), GDPR, agentic AI compliance, risk management frameworks.
Module 3: Culture & Enablement Driving adoption, understanding resistance, clarifying responsibility, building AI fluency across the organization.
Reference Section
Section titled “Reference Section”Complementing all paths: A standalone, searchable knowledge base — inspired by Apple’s Human Interface Guidelines.
| Area | Content |
|---|---|
| Glossary | All key terms, briefly explained (available now) |
| Principles | AI work principles as reference (planned) |
| Regulation | EU AI Act, GDPR, compliance in detail (planned) |
| Ethics | Responsible AI use (planned) |
| Tool Catalog | Current tools with comparisons (planned) |