Your shopping bag is empty
Go to the shopGreen English Online — ABN 22 872 790 390.
We offer practical AI skills for working adults in Australia, Canada, and New Zealand. Live classes, small groups, real portfolio projects. Start leveraging AI to automate your work, build your own personal knowledge base, save 5–10 hours every week, and strengthen your position in both business and the job market.
More About the Course
Here you’ll find all the key details about the course, including its content, format, benefits, and more.
✅ A configured AI workspace — Claude Pro with Memory, Connectors (Google Drive, Gmail), first Projects
✅ A prompt-writing formula (Instruction + Context + Input + Output Format) — your prompts work the first time
✅ 5 real AI use cases in your work and life — a mini portfolio
✅ Understanding of AI hallucinations — how to spot them and not trust a lying AI
✅ Mobile + voice access to Claude — work from your phone, by voice, on the go
✅ A Study Buddy — an accountability partner for 4 weeks
- 2 sessions/week × 60 minutes (evenings AEST — Australian Eastern Standard Time)
- Recording of every session in the Telegram group chat
- Informal Telegram chat — questions 24/7, answers from instructor and group
- NotebookLM with course materials — listen in the car or on a walk
🎁 Lifetime access to AI Green School Alumni chat
🎁 Green School AI User certificate
🎁 Promo code **AI-NEXT-100** for $100 off L2A (valid 14 days after graduation)
- Claude Pro subscription ($20 USD/month — paid separately by student)
- Computer with internet
- 4–6 hours/week (2 hours classes + 2–4 hours homework)
More About the Course
Here you’ll find all the key details about the course, including its content, format, benefits, and more.
✅ 4 working projects in your portfolio — real solutions delivering real value
✅Personal Knowledge Base — Claude Projects + Skills + Ingest/Query/Lint operations — one system that grows with you
✅ First automations in Zapier/Make — email sorting, data classification, review processing
✅ Artifacts — landing pages, reports, dashboards, generated by Claude as extensions of your KB
✅ Brag Document — the habit of documenting results for promotion in your company
✅ Agent concepts — when an AI agent is the right answer and when it isn't
🎯 Project 1 — My First Automation (weeks 2–3): A real workflow from your job → Zapier/Make + AI → automation with error handling.
Examples: lead qualification bot/inbound email triage/automated news digest.
🎯 Project 2 — My Personal Knowledge Base (weeks 4–5): Multiple Claude Projects organised by work domain + Skills for Ingest/Query/Lint + first Artifacts.
Value:*an AI that remembers your work and answers from your materials, not generic knowledge.
🎯 Project 3 — AI Data & CRM Automation (weeks 6–7): Google Sheets + Email + CRM. AI formulas, automated drafts, lead classification.
Value: 5–10 hours/week saved on routine data work.
🎯 Final Project — Ecosystem Integration (week 8): All three projects connected into one system. Final presentation + LinkedIn post + Brag Document.
New prompt engineering skills:
- Few-shot prompting — set the format with 2–3 examples
- Prompt chaining — academic approach to complex chains
- Custom instructions ≤200 words — brevity as a technical requirement
- The three KB operations: Ingest, Query, Lint as a working cycle
Soft-skill module: Brag Documents + how to demonstrate value to AU/CA/NZ employers. Without self-promotion your results are invisible.
- 2 sessions/week × 90 min: Teaching-session (theory + demo) + Lab-session (project work + peer demo)
- Study Buddy across all 8 weeks
- Project Demo after each project — a 3-minute video for your portfolio
- Final Presentation — 10 minutes in front of the group, like a job interview
🎁 Lifetime AI Green School Alumni chat
🎁 Optional Peer Mentor role for L1 cohorts in 6 months
🎁Discount on L3A for continuing students
🎁 LinkedIn recommendation from your instructor on successful completion
- Completed L1 or equivalent experience
- Claude Pro + Claude Desktop app + Filesystem MCP (Model Context Protocol)
- Free Zapier or Make account
- 6–8 hours/week (3 hours classes + 3–5 hours project work)
More About the Course
Here you’ll find all the key details about the course, including its content, format, benefits, and more.
✅ 4 client-grade projects in your portfolio — n8n pipelines, Managed Agents, final AI product
✅ Claude Code CLI — professional AI-coding in an integrated development environment
✅ 8 ready-to-reuse n8n automation pipelines — templates for clients
✅ Managed Agents — AI agents with memory, tools, and error handling
✅ Preparation for Claude Certified Architect — the official Anthropic certification
✅ MVP of your own AI product — your beauty agent / fitness AI / legal assistant — a working prototype by graduation
🏗️ Phase 1 — Foundation (weeks 1–3): Git, GitHub, terminal, Node.js, Claude Code CLI, VS Code. LLM parameters (temperature, max_tokens). MCP as a webhook alternative. [CLAUDE.md](http://CLAUDE.md) as persistent context ≤200 lines.
🤖 Phase 2 — Project 1: n8n pipelines (weeks 4–6): Self-hosted n8n setup. 8 pipelines: AI email processing, lead classification, content generation, review processing, Sheets ETL, auto-reports, RSS monitoring, AI Slack bot.
🧠 Phase 3 — Project 2: Managed Agents (weeks 7–10): Agents with tools, memory, error handling. Plan Mode (mandatory for 3+ files). Testing and dev cycle for agents.
🚀 Phase 4 — Final Project: your AI product (weeks 11–12): MVP for your profession or a client case. Demo, pitch, graduation presentation. Optional Claude Certified Architect exam.
4 client-grade projects:
🎯 Project 1 — Production-grade n8n pipeline for a real business scenario.
🎯 Project 2 — Managed Agent with at least 3 tools and long-term memory .
🎯 Project 3 — MVP AI product for your expertise or a client request
🎯 Final Project — Production deployment with documentation, monitoring, and presentation
Soft-skill module: Pricing AI projects in AU/CA/NZ. How to package AI services ($500–5 000/month retainers). Presenting a technical solution to a non-technical client.
- 2 sessions/week × 90 min: Teaching-session + Lab-session
- Plan Mode and code review on every Lab
- Project Demo after each phase — pitch + technical walkthrough
- Final Presentation — 15 minutes in front of the group and invited guests
🎁 Lifetime AI Green School Alumni chat
🎁 Internal referral cases — L3 grads get first leads through the school
🎁 Post-graduation support — 1 group review-call/month for the first 3 months
🎁 Help with Claude Certified Architect registration
- Completed L2A or equivalent technical experience
- Comfort with terminal and Git
- Claude Pro + Claude Desktop + Filesystem MCP + Git + GitHub
- 8–10 hours/week (3 hours classes + 5–7 hours project work)
More About the Course
Here you’ll find all the key details about the course, including its content, format, benefits, and more.
Per-session prices (60 min):
- L1 AI User — $65 AUD
- L2 AI Power User (A or B) — $95 AUD
- L3 AI Builder (A or B) — $125 AUD
Weekly subscription via Shopify. You choose 1–5 sessions per week, billing is automatic weekly. Cancel anytime through your account, no penalties.
- L1 — 2 sessions/week × 4 weeks = $520 total
- L2A or L2B — 2 sessions/week × 8 weeks = $1 520 total
- L3A or L3B — 2 sessions/week × 12 weeks = $2 280 total
You can study for as long as you need to achieve your goals, move to a different level, or finish your project.
You will have a personal trainer who will structure the course according to your goals and needs, satisfy your schedule requests, and support you throughout your journey.