Building Real-Time Voice AI with LiveKit
Build production-grade voice agents, real-time transcription pipelines, and multi-modal AI apps using LiveKit Agents, Whisper, and LLMs
Course Overview
Real-time voice AI is the fastest-growing interface in tech — from customer service bots to AI meeting assistants, voice-first apps are going mainstream. This course teaches you to build production-quality voice AI systems from scratch using LiveKit, the open-source real-time infrastructure platform trusted by thousands of developers.
Who is this for?
Backend and full-stack developers comfortable with Python and JavaScript who want to build AI-powered voice, audio, or video products. Prior AI/ML experience is not required but basic familiarity with REST APIs helps.
What You Will Build
| Project | Key Technologies |
|---|---|
| Live Transcription App | LiveKit, Whisper, React |
| Voice-Enabled Q&A Bot | LiveKit Agents, GPT-4o, TTS |
| AI Meeting Assistant | LiveKit Cloud, Diarization, Summarization |
| Multi-Language Voice Translator | Whisper, DeepL, LiveKit Egress |
| Voice-Controlled Dashboard | LiveKit, Tool Calling, WebSockets |
| Production Agent Deployment | Docker, LiveKit Cloud, Monitoring |
Course Modules
Learning Outcomes
- Build a production-grade voice AI agent using LiveKit Agents and deploy it on a live URL
- Integrate any combination of STT, LLM, and TTS providers and switch between them with minimal code changes
- Design voice-first conversational experiences that feel natural and handle interruptions, silence, and errors gracefully
- Implement real-time transcription with speaker diarization for multi-party conversations
- Secure, monitor, and scale voice AI infrastructure to handle hundreds of concurrent sessions
- Understand and optimize end-to-end latency across the full voice pipeline
- Integrate telephony via SIP trunks to enable phone-based voice AI
Frequently Asked Questions
Batch Timings
All times in IST (GMT+5:30)
Your Instructor
Celoris Designs
Deep-Content Learning Series
Celoris deep-content courses are designed for developers who want to go beyond surface-level tutorials and truly understand how things work.
Prerequisites
- Python 3.10+ (comfortable with async/await)
- JavaScript / TypeScript basics
- REST APIs and JSON
- Basic terminal / command line
- Git for version control