A 40-week full-stack engineering and AI/ML build path.
Structured around real projects — APIs, ML pipelines, AI-powered tools, and deployed applications. Each phase covers a core area of the stack, with topics broken into weekly focus areas and daily builds.
Currently on Phase 00 — Launchpad Setup (Week 0)
Backend: Python · FastAPI · Flask Frontend: React · Next.js · Tailwind CSS · TypeScript Databases: PostgreSQL · Supabase · SQLite · ChromaDB AI/ML: scikit-learn · LangChain · Claude API · OpenAI API · Hugging Face · MLflow Cloud: AWS · GCP Deployment: Docker · Vercel · Railway · GitHub Actions Dev Tools: Claude Code · VS Code · Cursor
| Phase | Weeks | Focus |
|---|---|---|
| 01 — Foundations | 0–6 | Python, FastAPI, SQL, PostgreSQL, React, Next.js, Docker, CI/CD |
| 02 — AI/ML & Agents | 7–14 | scikit-learn, LLM APIs, prompt engineering, LangChain, RAG, agents |
| 03 — Cloud & MLOps | 15–22 | AWS, GCP, ML pipelines, monitoring, security, performance |
| 04 — Products & SaaS | 23–32 | Payments, auth, multi-tenancy, API design, testing at scale |
| 05 — Advanced | 33–40 | Kubernetes, IaC, fine-tuning, data pipelines, Solana, capstone |
Projects appear here as they're built and shipped.