Realtime-Phone-Agents-Course

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realtime-phone-agents-course is a Research & Education tool that teaches how to build real-time AI voice agents. It covers low-latency streaming, vector search, live phone calls, and scalable GPU deployment.

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At a glance

Pricing

Open Source

Free tier

Yes

API

Yes

Skill level

Technical

About

What is realtime-phone-agents-course?

This course provides a comprehensive guide to building real-time AI voice agents, moving beyond basic tutorials to focus on production-ready systems. Participants will learn to create an AI agent call center capable of receiving and making calls via Twilio, searching live property data using Superlinked, and running real-time conversations powered by FastRTC. The curriculum also covers improving STT and TTS systems with Moonshine, Fast Whisper, Kokoro, and Orpheus 3B, and deploying open-source models on Runpod for GPU acceleration. The course is structured week-by-week, offering articles, code, and live sessions for a deep dive into complex, end-to-end applications.

Best used for

Ideal for software, ML, and AI engineers who need to develop sophisticated real-time AI voice agents, integrate them with live phone calls, and deploy custom models on scalable infrastructure. Especially valuable for those looking to build production-ready AI agent call centers with advanced search and tracing capabilities.

Common actions

build AI voice agents

integrate real-time communication

deploy AI models

implement vector search

improve speech systems

automated workflowdeepfakelow-code/no-codecollaborationworkflowsface swapping"AI Agents"github copilotopen-source

Capabilities

Key features

Build real-time voice agents
Integrate Twilio for calls
Advanced vector search (Superlinked)
Improve STT/TTS systems
Deploy models on Runpod
Multi-avatar agent deployment
Full tracing with Opik

Target Audience

developersai engineersmachine learning engineersvoice ai specialists

Integrations

twiliosuperlinkedrunpodopikfastrtc

Pricing & Plans

Open Source

Free

FAQs

What technologies are used to build the real-time AI voice agents in this course?

The course utilizes FastRTC for low-latency streaming, Superlinked for vector search, Twilio for live phone calls, and Runpod for scalable GPU deployment. It also incorporates Moonshine, Fast Whisper, Kokoro, and Orpheus 3B for speech-to-text and text-to-speech functionalities, and Opik for full tracing.

What kind of applications can I build after completing this course?

Upon completion, you will be able to build a real-time AI agent call center capable of handling inbound and outbound calls, performing live property data searches, and running dynamic conversations. You'll also learn to deploy multi-avatar voice agents with full tracing.

Is this course suitable for beginners in AI development?

No, this course is designed for Software Engineers, ML Engineers, and AI Engineers who want to build complex, end-to-end applications. It is not a basic 'Hello World' tutorial but a deep dive into making production-ready voice agents, requiring prior technical knowledge.

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Academic Research Knowledge Management Course Creation Scientific Computing Summarization Language Learning

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AI Agents & Automation › Voice Agents Customer Support & CX › Voice & Call Center

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