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.
· both
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1. Professional Environment & Editor Fluency
2. Git & GitHub Collaboration
3. Architecture, Config, Quality
4. Maintainable Delivery & Release
JA-01 — AI Foundations for Builders
0.00 16
JA-02 — Python for AI Applications
0.00 16
AI Foundations for Builders
A platform-independent foundation course that orients learners to generative AI products, builder mindset, safe tooling, and academy progression (L1 Beginner → JC-FOUND). Learners leave knowing what to build first, how AI applications differ from classical ML courses, and how to prepare a secure environment for later API work.
0.00 21