पाठ्यक्रम

Professional Developer Workflow for AI

Train production-ready habits for AI builders: professional editor/terminal workflows (VS Code/Cursor), Git/GitHub collaboration, canonical project architecture, configuration & secrets, logging, debugging, testing fundamentals, documentation, AI-assisted coding norms, and a reusable AI repo template portfolio project. `publish_targets: BOTH` — single educational source; branding via overlays.

स्तर ·: प्रारंभिक; 10 घंटे
मॉड्यूल ·: 4
पाठ ·: 21
मूल्य: मुफ़्त

पाठ्यक्रम सूची

केवल मॉड्यूल और पाठ शीर्षक। पूरी सामग्री नामांकन के बाद खुलती है।

Professional Environment & Editor Fluency
1. Professional AI Workspace Overview
2. VS Code / Cursor Setup for AI Repos
3. Integrated Terminal, Tasks, and Extensions that Matter
4. Debugging Basics & Safe AI-Assisted Coding Norms
5. M01 Wrap — Professional Environment & Editor Fluency
Git & GitHub Collaboration
1. Git Fundamentals: init, status, add, commit, log
2. Branching, Pull Requests & GitHub Collaboration
3. .gitignore for Python/AI Projects
4. What Never to Commit & Leak Remediation
5. M02 Wrap — Git & GitHub Collaboration
Architecture, Config, Quality
1. Canonical Folder Layout & Reusable Architecture
2. Configuration Management & Secrets in Projects
3. Logging & Error-Handling Habits in Projects
4. Testing Fundamentals & Documentation Quality
5. M03 Wrap — Architecture, Config, Quality
Maintainable Delivery & Release
1. Task Runners & scripts/ for Maintainable Work
2. Pre-commit Mindset & Secret Scanners
3. Code Review Checklist for AI Apps
4. Tags, Releases & Ship the AI Repo Template
5. M04 Wrap — Maintainable Delivery & Release
6. JP-JA03 — AI Repo Template

शुरू करें

खाता बनाएँ साइन इन पाठ्यक्रम शुरू करें ऐप डाउनलोड करें

पाठ्यक्रम सूची

Professional Environment & Editor Fluency

Git & GitHub Collaboration

Architecture, Config, Quality

Maintainable Delivery & Release

शुरू करें