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TUTBB · Wednesday at 6:36 PM

Build real-time speech-to-speech agents from the ground up using Python and AWS Bedrock. This course walks you through the streaming architecture, audio debugging, and tool integrations that power modern voice AI.
What you'll learn
Set up AWS Bedrock for real-time voice agent use
Stream bidirectional audio with low latency
Use Python asyncio to manage non-blocking tasks
Handle interruptible speech and voice interactions
Send and receive Bedrock streaming events
Build reusable audio and streaming manager classes
Integrate DynamoDB for real-time data updates
Test and run a complete, deploy-ready voice agent
What if you could build a voice agent that feels like magic? One that listens and responds in real-time, is interruptible & smooth, and actually useful?
This course teaches you how to create that exact experience.
Using AWS Bedrock's Nova Sonic model and Python's asyncio library, you'll build a fully functional, real-time voice assistant. You'll stream audio in both directions, manage low-latency event flows, and integrate tool calls that let the agent interact with real data. Whether you're aiming to work in AI, backend development, or cloud-based applications, this course gives you the hands-on skills needed to prototype smart voice systems from scratch.
You'll leave with a working agent...and a deep understanding of how it all fits together!
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