Async Python for API Performance Optimization Course
This course teaches asynchronous Python programming to enhance API performance, covering async I/O, non-blocking operations, optimization techniques, and monitoring for scalable, high-throughput APIs.

flexible workload of 4 to 360h
valid certificate in your country
What will I learn?
Async Python for API Performance Boost is a practical, hands-on course that shows you how to create quick, dependable async endpoints using current frameworks, adjust event loops and workers, and plan effective parallel request paths. You will pick up async I/O basics, non-blocking database and HTTP connections, profiling, monitoring, load testing, and straightforward reporting to boldly deliver high-performance APIs on a large scale.
Elevify advantages
Develop skills
- Design async APIs: create high-throughput FastAPI endpoints with ASGI runtimes.
- Master asyncio: manage tasks, semaphores, and executors for safe concurrency.
- Optimize performance: adjust workers, timeouts, and pools to reduce 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 the workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workloadWhat our students say
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Giulio CarloDigital Marketing Student
I like how the lessons get straight to the point and how I can switch chapters and skip content I don't need.

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The platform is fast and easy to use. The variety of content and the extra videos really help with learning.

Giulio CarloPrompt Engineering Student
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