Async Python for API Performance Optimization Course
Master async Python to boost API performance. This course covers FastAPI patterns, asyncio concurrency, async database access, profiling tools, and load testing techniques. You will learn to reduce latency, increase throughput, and deploy reliable, scalable services in production environments, ensuring high performance for real-world applications.

from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
This hands-on course teaches building fast async API endpoints using modern Python frameworks like FastAPI. You will master async I/O, event loops, workers, non-blocking database and HTTP operations, profiling, observability, load testing, and performance reporting to deliver scalable, high-performance APIs confidently.
Elevify advantages
Develop skills
- Design async APIs: build high-throughput FastAPI endpoints with ASGI runtimes.
- Master asyncio: control tasks, semaphores, and executors for safe concurrency.
- Optimize performance: tune workers, timeouts, and pools to cut API latency.
- Profile and observe: log, trace, and load test async services with real metrics.
- Async DB and HTTP: use async drivers and clients for non-blocking data access.
Suggested summary
Before starting, you can change the chapters and workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.What our students say
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