AI Voice Agents is a hands-on course designed to help you understand, design, and build production-ready voice agents from the ground up, using both no-code platforms and code.

You will learn why businesses are adopting voice AI so quickly, from contact-center automation to banking, healthcare, recruiting, and logistics, and how voice agents handle both inbound and outbound conversations.

The course explains the economics behind this shift and why skilled AI engineers who can build voice agents are in high demand.

Starting from a simple voice-in, voice-out loop, the course builds the cascade architecture level by level: telephony as the bridge between phone networks and the internet, Voice Activity Detection (VAD) for turn detection, speech-to-text, the text LLM, system prompts, knowledge bases, tools, memory, streaming, interruption handling, and human call transfer.

You will then compare it with the speech-to-speech architecture and learn when each one is the right choice based on latency, emotion, tool reliability, and observability.

You will then build a complete CampusX support agent on ElevenLabs, writing structured system prompts, configuring voices and LLMs, designing procedures and multi-agent workflows, A/B testing with branches, adding a knowledge base, booking sessions through Google Calendar, and enforcing guardrails against off-topic and manipulative conversations.

A major focus of the course is building the same agent in code with Pipecat, the industry-standard open-source framework. You will understand frames and pipelines, WebRTC transport, Silero VAD and turn strategies, context aggregation, reasoning effort, RAG with Moss, text-to-speech, conversation memory, interruptions, and function calling with a real booking database.

By the end of the course, you will be able to choose between no-code and code-based approaches, handle the production challenges of latency, turn-taking, noise, and guardrails, and ship voice agents that businesses can rely on.

Course Duration: 6+ hours

Refund Policy: 4 Days