Python Backend Architect: FastAPI, Async SQL, and Cloud Deployment

🎯 Course Learning Outcomes

By the end of this intensive course, you will be able to:

• Build Production-Ready APIs: Master FastAPI development, implementing RESTful endpoints (CRUD) using modern, asynchronous (async/await) Python patterns.
• Architect Data Persistence: Design robust database models using Async SQLAlchemy 2.0+, integrate them seamlessly with FastAPI, and manage schema evolution using Alembic migrations.
• Implement Cloud File Storage: Develop secure API endpoints for uploading and serving files, integrating directly with Google Cloud Storage (GCS) for persistent, scalable file management.
• Ensure Code Quality & Security: Structure scalable projects using APIRouter, implement Basic Authentication (API Keys), configure CORS, and write comprehensive, database-isolated unit and integration tests with pytest.
• Manage Asynchronous Tasks: Add crucial application functionality like auto email sending by correctly leveraging FastAPI's Background Tasks to keep your API responsive and non-blocking.
• Create Full-Stack Applications: Build a functional, data-driven Streamlit frontend application that securely consumes the protected FastAPI backend, enabling real-time data display and submission.
• Master Cloud Deployment: Containerize your entire application using Docker, and deploy the full stack—FastAPI (Compute), PostgreSQL (Database), and GCS (Storage)—to Google Cloud Run and Streamlit Cloud.
• Understand SQL Fundamentals: Gain a necessary foundation in the PostgreSQL relational model and core SQL commands before transitioning to the ORM layer.

Master Modern Python Backend Architecture (FastAPI & Async SQL)

Ready to move beyond basic Python and build high-performance, production-ready APIs? This intensive course transforms you into a Python Backend Architect, giving you a complete, end-to-end skill set for the modern tech stack.

You will start with a solid SQL foundation, immediately transitioning to FastAPI—the fastest way to build APIs—and Async SQLAlchemy 2.0+ to handle high concurrency with PostgreSQL. You'll master essential production techniques like data modeling with Pydantic, database migrations with Alembic, and implementing robust Basic Authentication.

Full-Stack Integration, Testing, and Cloud Deployment

The course goes beyond the backend, offering critical real-world skills:

• Real-World Features: Learn to implement core services like asynchronous email sending and secure file management by integrating your API with Google Cloud Storage (GCS).
• Bulletproof Your Code: Dedicate an entire lecture to professional API testing using pytest and ensuring isolated database environments.
• Full-Stack Application: Build a functional Streamlit frontend to securely consume your protected FastAPI endpoints, creating a complete application experience.
• The Cloud Pipeline: The course culminates in mastering Docker containerization and deploying the entire full stack—FastAPI, PostgreSQL (via Cloud SQL), and Streamlit—to Google Cloud Run and Streamlit Cloud.

Enroll now to gain the confidence and practical experience needed to design, build, test, and deploy scalable Python applications!