Learning Paths
Plan technical learning directions in the form of roadmaps: mark the goals, recommended resources, practice projects and acceptance criteria for each stage, so that learning is traceable.
Collected
- Frontend Engineer Path — HTML/CSS → Frameworks → Engineering → Performance
- Backend Engineer Path — Languages → Databases → Middleware → Architecture
- AI Engineer Path — Math foundations → Machine learning → Deep learning → LLM applications
Path Template
Each learning path is recommended to include the following sections:
markdown
## 阶段一：打基础
- 目标：...
- 资源：...
- 练习：...
- 验收：...Planning Checklist
| Topic | Description | Status |
|---|---|---|
| Frontend engineer path | From zero to independently delivering frontend projects | Planned |
| Backend engineer path | From languages to distributed system design | Planned |
| AI engineer path | From math foundations to LLM application development | Planned |
| Cross-direction transition path | e.g. catch-up checklists for backend-to-fullstack, frontend-to-AI transitions | Planned |
Writing Guidelines
- Each stage must have verifiable deliverables (projects, certificates, passing a test), avoiding merely listing resources;
- Link to the corresponding domain documentation pages on this site to form a "Path → Docs" closed loop;
- After completing each record in a path, leave a learning log in Process Journals.