If you want to learn:
How to build your first conversational AI voice agent from scratch as a complete beginner?
What are the step-by-step instructions to create a real-time voice agent using ElevenLabs and Gemini?
How can you add conversational AI capabilities to automate customer support and enhance user interactions?
What's the easiest way to integrate knowledge bases and customize AI voice agents for specific use cases?
How do ElevenLabs agents deliver low-latency, human-like conversations with natural-sounding voices?
Then this lecture is for you!
In this hands-on tutorial, you'll build your first AI voice agent using the ElevenLabs conversational AI platform and Gemini 2.5 Flash. You'll start by creating a blank agent, configuring the system prompt, and selecting a voice to establish your assistant's personality. Through step-by-step demonstrations, you'll test real-time voice conversations, adjust tone and language settings, and experience the low-latency performance that makes these voice agents feel responsive and human-like.
You'll then customize your conversational AI agent for practical business applications by building an airline customer support assistant. This involves tailoring the system prompt with specific context, testing different voice options, and observing how the AI agent uses provided information to answer questions accurately and assist with travel needs.
The lecture explores advanced features including the workflow canvas for connecting multiple conversational agents, template-based qualification flows that route conversations based on user intent, and the Knowledge Base functionality. You'll learn to add documents containing domain-specific information—demonstrated through an Apple products example—enabling your voice agent to deliver accurate responses with subject matter expertise using RAG (Retrieval-Augmented Generation) principles.
By the end, you'll understand how to deploy customizable, enterprise-grade voice agents in minutes, integrate APIs, automate workflows, and create AI-powered assistants for various use cases including customer service, telephony, and multilingual support scenarios.