Async Python for API Performance Optimization Course
This course equips developers with essential skills to enhance API performance using asynchronous Python techniques, covering design, optimization, and monitoring for scalable applications.

4 to 360 hours flexible workload
valid certificate in your country
What will I learn?
Async Python for API Performance Optimisation is a focused, hands-on course that teaches you to build fast, reliable async endpoints with modern frameworks, tune event loops and workers, and design efficient parallel request flows. You will learn async I/O primitives, non-blocking database and HTTP access, profiling, observability, load testing, and clear reporting so you can confidently ship high-performance APIs at scale.
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.
- Optimise 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 the 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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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 supplementary videos really help with learning.

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