Most AI agent platforms assume Linux. Most enterprises run Windows. This bridges the gap.
Using AI to Solve Real Problems — Built in Azure, shipping every day
Azure infrastructure work is tedious — exporting Bicep, tuning alerts, auditing security. Three specialist agents do it in minutes through a single conversation.
Most AI agent platforms assume Linux. Most enterprises run Windows. This bridges the gap.
QA teams spend more time fixing broken test scripts than actually testing.
You're using AI coding agents every day — but are you getting the most out of them?
Azure infrastructure work is tedious — exporting Bicep, tuning alerts, auditing security. Three specialist agents do it in minutes.
AI agents forget everything between sessions. This gives them memory that persists, compounds, and is shared.
Backed by Cosmos DB with vector search
Try It →Australian organisations need AI — but they can't send sensitive data offshore.
Your team knows how to do things — they just never have time to write it down.
Traditional SEO isn't enough anymore. People are searching through ChatGPT, not just Google.
Everyone's using AI. Almost nobody's using it well. This course takes you from "I've tried ChatGPT" to building a personal AI workflow you'll actually use at work on Monday. No coding. No jargon. Just the method that separates the 10% who get real value from Claude.
You're getting answers from AI. But are you getting the right answers? The READY method turns vague prompting into a repeatable skill — Recognise, Evaluate, Articulate, Determine, Your Responsibility. 7 modules, 39 lessons.
Most developers try Claude Code for a week, then go back to writing everything themselves. This course teaches the mental model that makes the difference — the four-step workflow top engineers already use.
You know the basics. Now learn the techniques that 10x your velocity — context management, MCP servers, hooks, GitHub integration. The stuff that separates occasional users from daily shippers.
The API docs tell you what to call. This course teaches you how to build with it — tool use, RAG pipelines, MCP servers, agentic workflows. 56 lessons of working Python code you can ship.
You've given Claude the same instructions for the fifteenth time this week. Skills let you write those instructions once and have them activate automatically. Your team uses them too.
Claude can't access your database, your APIs, or your internal tools — unless you build the bridge. This course takes you from zero to a working MCP server and client in Python.
One agent doing everything is like one person doing every job. Subagents let Claude delegate to specialists — isolated context, focused work, clean summaries back. Free micro-course.