AI is moving fast, and most people don’t know where to start. I help you cut through the noise and learn exactly what real workplaces use, how modern AI projects are built, and how businesses adopt AI in practical, measurable ways.

LEVEL 1 — Career Starter Guidance
If you’re new to your career, the real challenge isn’t “skills” — it’s understanding how workplaces actually run. I show you the tools and workflows companies use daily, so you don’t walk in blind.
You’ll learn:
the software environments teams rely on, like ServiceNow, GitHub Copilot, and other tools you may not have seen before
how these tools connect to real workflows
how to get comfortable using them with zero distance — hands-on and practical
This helps you feel confident on day one and stay comfortable through your first few months after onboarding.

LEVEL 2 — Your First AI Project
You’ll start by building using natural language — no programming required. This is where AI becomes something you can use directly, even as a beginner.
You’ll learn:
how to use Google Antigravity and GitHub Copilot as your main development tools
how modern AI workflows like MCP, Agents, and Skills help you build faster
how to create a real web or mobile app from scratch
how AI handles coding, design, and workflow steps with confidence
This gives you a solid first win — a real project you can show, use, and build on as you continue learning.

LEVEL 3 — AI Adoption for Your Business
Once you recognize that AI is becoming essential, it’s time to bring it into your business. I help you identify where AI can save time, reduce manual work, and improve daily operations — even if your business has never used AI before.
You’ll learn:
how to spot tasks that AI can automate or accelerate
how tools like GitHub Copilot, Google Antigravity, MCP, Agents, and Skills fit into real business workflows
how to introduce AI safely without disrupting your existing operations
how to turn AI into practical results: faster service, fewer mistakes, and lower workload
This gives your business a clear, confident path to AI adoption — improvements you can see and measure.

LEVEL 4 — Matt Pocock Skills: Real Engineering Thinking
AI can build fast — but you still need to think like an engineer.
This level teaches you the practical, high-value skills inspired by Matt Pocock’s approach: clarity, structure, and professional developer discipline.
You’ll learn:
how to think in clean, predictable workflows instead of “random coding”
how to design features the way real engineers do — with intent, structure, and clarity
how to use TypeScript-style reasoning to make your AI-generated code safer, stronger, and easier to maintain
how to guide AI tools (Copilot, Agents, MCP) with precise instructions so they produce reliable results
how to review, refine, and stabilize AI-generated code like a senior developer
This level upgrades your thinking — giving you the engineering mindset that makes AI output trustworthy, scalable, and professional.

Who This Is For
beginners starting their first tech or office job
anyone curious about AI but unsure where to begin
small business owners who want AI to reduce workload
people who want a real project instead of confusing tutorials
anyone who prefers hands-on guidance using natural language instead of coding
learners who want to think like real engineers, not just “use AI tools”

Ready to Start
If you have a Google Gmail and a GitHub account, you’re already ready to explore.
One-day session: $150
Contact: artisan.zhen@gmail.com