Asyncio Mastery by QS Academy

From Fundamentals to Production-Ready Async Systems
What you'll learn

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Write Async Code with Confidence - Master async, await, and the event loop to build concurrent applications without the complexity of threads or multiprocessing
Build Scalable Systems with Async Libraries - Use aiohttp, aiosqlite, and aiofiles to handle thousands of concurrent network requests, database queries, and fil
Apply Production-Grade Patterns - Implement producer-consumer pipelines, rate limiting, timeouts, retries, and graceful shutdowns to build reliable, real-world
Test and Debug Async Code - Write async tests with pytest-asyncio, mock async functions, and use debug mode to find blocking code and fix concurrency issues.
Requirements

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Python. Some Object Oriented Programming.
Description

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Python's asyncio is the foundation of every modern async framework-FastAPI, LangChain, aiohttp, and more. But most developers never learn how it actually works. They copy-paste async and await without understanding the event loop, race conditions, or production patterns. This course changes that.
You'll start with the fundamentals: what a coroutine is, how the event loop works, and why async code behaves differently from synchronous code. Then you'll move into real-world concurrency: running tasks in parallel, using async libraries like aiohttp and aiosqlite, and protecting shared data with locks and semaphores.
From there, you'll build production-grade systems: producer-consumer pipelines, rate-limited API clients, and graceful shutdown handlers. You'll learn how to handle timeouts, retries, and cancellation-the patterns that separate hobby projects from real applications. Finally, you'll learn how to test and debug async code, so you can ship with confidence.
By the end of this course, you'll be able to
Write async code with confidence
Handle thousands of concurrent tasks
Build scalable API clients and servers
Use async libraries like aiohttp, aiosqlite, and aiofiles
Protect shared data with synchronization primitives
Handle timeouts, retries, and cancellations
Test and debug async applications
Understand any async framework you encounter
Who this is for
Backend developers building APIs that need to scale
Data engineers processing large datasets
AI engineers building agent pipelines
Anyone tired of slow, blocking Python code
Prerequisites
Basic Python knowledge (functions, classes, loops)
No prior async experience required
Who this course is for

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Backend developers, data engineers, AI engineers, DevOps engineers, automation engineers, and anyone tired of slow Python code who wants to understand how async/await actually works.
Homepage

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