intermediate
Claude Code Masterclass: Ship Real Code with AI
Stop treating AI like a magic autocomplete and start using it like a sharp junior engineer who sits next to you — one you direct, review, and hold accountable. In 10 hands-on modules you'll master the Plan → Implement → Test → Review → Commit loop and use it to ship real, tested code with Claude Code: Best-of-N, honest test suites, safe git workflows, multimodal prompts, refactoring & docs, reusable skills, the GitHub MCP server, lifecycle hooks, and a production-readiness checklist. You stay the engineer of record — Claude proposes, you decide what ships.
10 lessons1h 55m
What you'll learn
- Drive Claude Code through plan → implement → test → review → commit loops
- Write a CLAUDE.md project brain file that gives consistent AI output
- Generate, evaluate, and select Best-of-N implementations
- Generate test suites and catch AI-introduced bugs with a self-review rubric
- Run AI-assisted Git feature-branch workflows safely
- Convert a screenshot or wireframe into a working UI with multimodal prompts
- Author reusable Claude Skills and slash commands for your team
- Produce a 5-axis production readiness report on AI-generated code
What it looks like in the lab
sandbox — bash
$ claude "build a CLI task manager with tests"
● Planning the task…
● Creating src/tasks/ and tests/…
● Running pytest…
12 passed in 0.34s
$ git checkout -b feat/task-manager && git add -A
$ claude "write a Conventional Commit message"
feat(tasks): add add/list/done/rm with JSON store
$ git commit -m "feat(tasks): ..." && gh pr create --fill
https://github.com/you/repo/pull/1
Real terminal output from the hands-on lab environment
Who this is for
- • DevOps engineers deepening their expertise
- • SREs building production-grade systems
- • Backend developers expanding into infrastructure
Prerequisites
- • Basic programming literacy in any language
- • Git basics (clone, branch, commit, push)
- • Working Claude Code access (any tier)
- • A local development environment (macOS / Linux / WSL2)
Lessons
1
10 min
2
Prompting Like a Tech Lead
Lab
12 min
3
Project Context with CLAUDE.md
11 min
4
Build Faster with Best-of-N
Lab
13 min
5
Testing, Debugging & Self-Review
12 min
6
Git Workflows for Safe AI Development
10 min
7
Multimodal: Screenshot to Working UI
13 min
8
Refactoring & Documentation at Scale
11 min
9
Commands, Hooks & Reusable Workflows
12 min
10
Production Readiness
11 min
Get started
Start Free LessonFirst lesson is always free — no signup required
10 hands-on lessons
Intermediate level
1h 55m total
Real Linux sandbox labs
Want all courses?
See Pro plan →