Master Voice AI Applications: GPT-Live, WebRTC & Twilio

About this course

Build Real-Time Voice AI Applications with OpenAI GPT-Live-1Learn to build intelligent, real-time voice AI applications that can listen, understand, respond, and interact with real-world business systems.

In this hands-on course, you'll learn how to develop voice AI applications using OpenAI GPT-Live-1, WebRTC, WebSockets, TypeScript, React, Bun, and Twilio.

Instead of focusing only on theory, we'll build three practical projects, each introducing new capabilities and architectural concepts.

What Will You Build?

Project 1: Browser-Based Voice AI Application

Build a real-time conversational voice AI application using React, TypeScript, and WebRTC.You'll learn how to establish real-time connections with OpenAI, capture microphone audio, stream audio conversations, and handle events for natural, low-latency voice interactions.

Project 2: Intelligent AI Customer Support AgentTake your voice AI application further by connecting it to a backend with real business tools.

Build a customer support agent capable of retrieving orders, checking shipment details, searching products, and performing customer service operations.

You'll also implement function calling, sideband WebSocket connections, agent delegation, human confirmation for sensitive operations, error handling, and escalation workflows.

Project 3: Phone-Based Voice AI Agent with TwilioBring your voice AI agent to real telephone calls using Twilio Programmable Voice and Media Streams.

Learn how incoming calls work, connect Twilio audio streams to GPT-Live-1 through a backend server, manage call sessions, and execute backend tools during live phone conversations.

What Will You Learn?

Throughout the course, you'll gain practical experience with:

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