- Duration: 4 weeks
- Classes: Blended (Online with in-person)
- Location: West Campus
AI Clinic
Level 3: Code and Cloud
at West Campus
Describe it in plain language, build it with AI, and publish it live on the web.
- Go from idea to a live, deployed application in four weeks
- Learn the coder’s essentials: GitHub, open AI models and the cloud
- Go from idea to a live, deployed application in four weeks
- Learn the coder’s essentials: GitHub, open AI models and the cloud
- No prior programming training required, just the readiness to build
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AI Clinic: Level 3 - Code and Cloud
- In Level 1 you became AI-literate. In Level 2 you became a power user who delegates real work to AI. In Level 3, you build. This course is for learners ready to step into the coder’s role, to think of themselves as people who write software for real applications. Using AI coding tools, you’ll describe what you want in natural language and take an idea all the way to a live, version-controlled application on the web.
- Our guiding principle this month: chat thinks, Cowork works, Code builds. Our anchor tool is Claude Code, and every concept is also shown in OpenAI Codex, Google Antigravity and GitHub Copilot, so you can build in whichever environment your workplace uses.
- No prior programming training is required, but come ready to build, break, test and ship. Between workshops, you’ll complete short hands-on labs on your own laptop, because coders learn by doing. You’ll finish the course with a working app online and in your portfolio.
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Take your skills
to the next level!
AI is changing how we work, create, and
make decisions. Don't just watch it
happen, be part of it!
- What vibe coding is, and how AI tools have moved from chat to agents to code. You’ll spend an hour setting up GitHub and learning the essentials of repositories, commits and version control. Then you’ll create your first working build simply by describing it, using Claude Code alongside Codex, Antigravity and GitHub Copilot.
- You’ll explore the world of open AI models, including a quick tour of Hugging Face and how to run a model on your own laptop. Then you’ll build a functional, multi-screen application and watch AI coding tools plan, write, test and fix their own work. You’ll build the same app in a second tool to compare, and save your progress to GitHub.
- What the cloud actually is: how Azure, AWS and Google Cloud combine processing, storage and services to put software online. Then everyone publishes their app to a live web address and learns how to update and redeploy it.
- The full software lifecycle: write, test, deploy, secure, iterate and version-control. You’ll get a look ahead at autonomous AI agents and the ethics of building them, then wire up an automated, multi-agent workflow. The week closes with a showcase of your live app, a final Q&A
- Level 3 has no video coursework. Instead, you’ll complete short hands-on labs between workshops, such as running an AI model locally on your laptop, extending your app, and updating your live site. Each lab prepares you for the next session. You’ll also receive a written Tool Guide covering deployment platforms, local-model tools and cloud providers, to keep as a reference after the course.
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