• views: 32
• date: 28 September 2026
• posted by: voska89

From Fundamentals to Production-Ready Async Systems

What you'll learn

⚡ 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

❗ Python. Some Object Oriented Programming.

Description

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

⭐ 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

https://www.udemy.com/course/asyncio-mastery

   
   
   

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