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👉 Sign up for LiveKit Cloud: https://cloud.livekit.io/signup?utm_s... Learn how to build production-ready voice AI agents that feel natural and responsive. This workshop teaches you how to create real-time voice agents using LiveKit's Agents SDK for Python, covering everything from the basics to production deployment. In this introduction, you'll learn: Why voice AI has hit an inflection point and what's possible now The fundamentals of the voice pipeline (VAD, STT, LLM, TTS) How to minimize latency for natural conversations Why WebRTC matters for real-time voice applications The tech stack we'll use throughout the workshop Perfect for Python developers who want to add voice AI capabilities to their applications. No prior experience with voice AI, machine learning, or real-time systems required. *Prerequisites:* Python 3.11+ Basic understanding of Python (functions, classes, async/await) *Tech Stack:* LiveKit Agents SDK for Python AssemblyAI for speech-to-text OpenAI for language models Cartesia for text-to-speech By the end of this workshop series, you'll have a production-quality voice agent that listens, thinks, and responds in real time with tool integrations, natural turn-taking, and proper escalation workflows. 📚 Resources 📚 Agent docs: https://docs.livekit.io/agents/?utm_s... Written workshop: https://livekit.worksh.app/tutorials/... 🤝 Join the Community Slack: https://livekit.io/join-slack?utm_sou... #livekit #ai #voiceai