Git, APIs and Backend for AI: Advanced

Level 0, topic 5 (part 2 of 2) of the BitByte AI path, for learners who finished Git, APIs and Backend for AI: Beginner. It covers what AI engineers do to ship a service: collaborate on GitHub, design APIs that survive real traffic, call other services efficiently, build a FastAPI backend with a database, auth and caching, test it properly, serve ML models and stream LLM answers within cost limits, secure it, containerise it, automate it and deploy it.

You get a bilingual written tutorial where every command and program was run and its output checked (Git, Docker and Compose included), hand-picked videos from ByteByteGo, Fireship, OktaDev, TechWorld with Nana and others, and three exams. It ends with a practice and interview lab and a capstone you can put in your portfolio.

• Use advanced Git (rebase, cherry-pick, reflog, tags) and team workflows on GitHub, and version data and models with LFS or DVC
• Design robust HTTP APIs: idempotency, caching, OAuth 2.0, pagination, rate limits, retries, webhooks and streaming
• Write efficient async API clients with httpx and asyncio
• Structure a production FastAPI app with dependencies, lifespan, SQLAlchemy and Alembic, authentication and authorisation, and Redis
• Test APIs professionally, with mocks for external services and LLM providers
• Serve ML models and build an LLM backend with streaming, usage limits and cost logging
• Secure APIs against the OWASP API Top 10, package them with Docker and Compose, automate CI/CD and deploy

• The beginner course: Git, APIs and Backend for AI: Beginner
• SQL basics (the "SQL and Data Handling for AI" course) for the database pages
• Docker installed for the container pages