Python Backend for Machine Learning
From zero to production-ready ML infrastructure. Master the modern stack used by OpenAI, Anthropic, and top AI engineering teams.
01. Python Foundations
Setup, Core Syntax, Data Structures, and OOP for ML.
02. Web & HTTP
How the internet works, REST APIs, and ASGI servers.
03. Flask
Build your first CRUD API and ML endpoint with Flask.
04. FastAPI & Pydantic
Professional async development and data validation.
05. Databases
PostgreSQL, SQLAlchemy, Redis, and Cloud Storage.
06. ML Integration
Serving models, Claude API, and Async ML processing.
07. Deployment & DevOps
Docker, CI/CD, and Cloud deployment with AWS/GCP.
08. Capstone Projects
Build sentiment classifiers, vision APIs, and LLM chat apps.