Claude Code AI
Working inside Claude Code as an AI-native development environment — from setup to autonomous multi-step builds.
One-time course fee
Who should take this?
Developers and technical builders who want a disciplined AI-native software delivery workflow.
Capability developed
Delegate, review, test, and ship multi-file engineering work with AI coding tools and reusable processes.
Professional application
Software delivery, developer enablement, product prototyping, or AI-assisted engineering services.
What’s inside this track
- 1Setup & Core Workflow
Build: Scaffold a small real project end to end.
Evidence: Comfortable using Claude Code as a daily driver, not a novelty.
- 2Autonomous Task Loops
Build: Hand off a multi-file feature and let it iterate to spec.
Evidence: Delegates real engineering tasks with confidence — not just autocomplete-level help.
- 3Skills & Reusable Workflows
Build: Package a repeatable Skill for a workflow you do often.
Evidence: Turns one-off prompting into a reusable asset the whole team benefits from.
- 4Shipping a Real Product
Build: Capstone: ship a working app from idea to deployed build in one guided session.
Evidence: Can take a product idea to a deployed build using Claude Code as the primary tool.
What you get
What you will own
Not a promise — a concrete list of what you personally build and can show a buyer, pulled from this course’s real curriculum.
- A working project: Scaffold a small real project end to end.
- A working project: Hand off a multi-file feature and let it iterate to spec.
- A working project: Package a repeatable Skill for a workflow you do often.
- A working project: Capstone: ship a working app from idea to deployed build in one guided session.
- A completed capstone: Autonomous Full‑Stack App with Reusable Claude Skill, scored across multiple dimensions
- A portfolio entry documenting how you built it, not just that you finished
- Verified skill evidence — tied to real work, not a self-rating
What you’ll prove — and own — by the end
Completion isn’t the finish line. This is what turns the course into evidence you can actually use.
Personalised from day one
A short entry diagnostic flags which modules to move through quickly and which to slow down on — the full curriculum stays available either way.
Evidence, not checkmarks
Skills track through a real mastery ladder — module completed, exercise practiced, project shipped — not just “lesson viewed.”
Your Final real-world project, AI-defended
Autonomous Full‑Stack App with Reusable Claude Skill — submit real work, defend your decisions to an AI interviewer, get scored feedback across multiple dimensions.
A portfolio you can use today
Turn a finished project into a case study, resume bullets, and an interview story — drafted from your real work, yours to review before you use it anywhere.
Connect this course to practical work
See how Ropes links a skill to a business problem, portfolio proof, a bounded service, and responsible client delivery. No client or income outcome is guaranteed.
Earnings potential
A simple illustration of how freelancers commonly structure retainer pricing once they’re taking on client work.
AI-assisted dev retainer
Illustrative example — your results will vary based on niche, effort, and client base.
Industry snapshot
Real, sourced research — current tools, market signal, and named case studies, each with a citation. Not marketing copy.