Foundation tracks
Four courses. One path.
Each course stands alone, but the four together rebuild how you think about AI in business. Start with whichever phase you're in — Foundations if you're new, Building if you've shipped your second AI product.
01
Phase 1–2 · Mini tier and up
AI Foundations for Decision-Makers
You don't need to write code. You need to know what AI actually is, what it isn't, and how to lead an organisation through the next decade without falling for the hype or freezing from fear.
6 modules4 hours5-question final quiz hosted by Zaca
- A Brief, Honest History of AI
- The Three Layers: Models, Tools, Agents
- How an LLM Actually Decides
- The Capability Frontier in 2026
- Where AI Fails (and why it matters more)
- Reading a Vendor Pitch Without Being Sold
02
Phase 3–4 · Pro tier and up
The Art of Prompting & Orchestration
Prompting is not magic. It is precise instruction to a system that processes language statistically. There are perhaps eight techniques that account for ninety percent of the lift you can extract — this course teaches all of them.
6 modules5 hours5-question final quiz hosted by Zaca
- The Anatomy of a Production Prompt
- Chain-of-Thought, Tree-of-Thought — when they help
- Few-Shot vs. Zero-Shot — the real trade-off
- System Prompts — the persistent layer
- Multi-Tool Orchestration with DICI
- Debugging a Prompt Like Debugging Code
03
Phase 4 · Pro tier and up · Time-sensitive
EU AI Act for SMEs: Compliance in Practice
The EU AI Act is not a checkbox exercise. It is risk-tier law that classifies your systems and demands documentation, governance, and human oversight in proportion to harm. Built to make you operational by the 2 August 2026 enforcement.
5 modules3 hours5-question final quiz hosted by Zaca
- Why the EU AI Act Is Different
- The Four Risk Tiers Explained
- Documentation — minimum viable pack for SMEs
- Human-in-the-Loop — when required, how to implement
- Three Compliance Traps and How to Avoid Them
04
Phase 5–6 · Pro tier and up
Building an AI-First Company
Most companies that "add AI" produce slightly better versions of what they already do. AI-first companies redesign workflows around the assumption that intelligence is abundant, attention is scarce, and the unit of work is the outcome — not the hour.
6 modules6 hoursCapstone project included hosted by Zaca
- The Three Mental Models of AI Companies
- The AIXXII Way — Five Principles
- Workflow Redesign — a Case Study
- Hiring in an AI-First Company
- Capital Strategy — why AI-first needs less money
- Capstone Project Brief
