カリキュラム
モジュールとレッスンのタイトルのみ。全文は受講登録後に開きます。
Module M01
- Lesson M01-L01 — Professional AI Workspace Overview
- Lesson M01-L02 — VS Code / Cursor Setup for AI Repos
- Lesson M01-L03 — Integrated Terminal, Tasks, and Extensions that Matter
- Lesson M01-L04 — Debugging Basics & Safe AI-Assisted Coding Norms
Module M02
- Lesson M02-L01 — Git Fundamentals: init, status, add, commit, log
- Lesson M02-L02 — Branching, Pull Requests & GitHub Collaboration
- Lesson M02-L03 — .gitignore for Python/AI Projects
- Lesson M02-L04 — What Never to Commit & Leak Remediation
Module M03
- Lesson M03-L01 — Canonical Folder Layout & Reusable Architecture
- Lesson M03-L02 — Configuration Management & Secrets in Projects
- Lesson M03-L03 — Logging & Error-Handling Habits in Projects
- Lesson M03-L04 — Testing Fundamentals & Documentation Quality
Module M04
- Lesson M04-L01 — Task Runners & scripts/ for Maintainable Work
- Lesson M04-L02 — Pre-commit Mindset & Secret Scanners
- Lesson M04-L03 — Code Review Checklist for AI Apps
- Lesson M04-L04 — Tags, Releases & Ship the AI Repo Template