AI Voice Agents: Automation with Vapi, ElevenLabs, n8n & MCP

Descripción

AI Voice Agents: The Next Evolution of Conversational AI. AI Voice Agents are transforming the way businesses and individuals interact. They combine Large Language Models (LLMs) with speech input and output (STT & TTS) to create powerful real-time conversations – whether as AI phone assistants, booking tools, customer support bots, or sales agents. But how do you actually build and deploy production-ready AI Voice Agents? Which platforms and tools deliver the best results? And how can you turn them into a profitable business opportunity? This course gives you the complete roadmap – from fundamentals to advanced integrations and monetization. What you’ll learn in this course: Fundamentals & Technology • Voice Agents explained: goals, strengths, weaknesses & business potential • How Voice Agents work: LLMs, Text-to-Speech (TTS), Speech-to-Text (STT) & model selection • Platform overview: Vapi, ElevenLabs, Fonio, LiveKit & open-source alternatives • Cost-benefit analysis: is an AI Voice Agent business really worth it? Vapi Basics – from zero to your first AI Phone Agent • Vapi step by step: registration, interface & creating your first agent • Build a booking assistant in German with ElevenLabs voices & prompt engineering • System prompts in practice: fine-tuning for natural, reliable conversations • Embed Voice Agents into websites & customize with CSS • Testing, debugging & continuous optimization Advanced integration with n8n, MCP & RAG • n8n for automation: setup, API keys & workflows • Connect Vapi & n8n via MCP and add powerful tools • RAG (Retrieval-Augmented Generation): train Voice Agents with vector databases • Extend Voice Agents with email automation, Google Sheets, external APIs & databases • Connect MCP servers with Vapi & LLMs like DeepSeek, Llama & Mistral • Add & integrate phone numbers for inbound and outbound calls • Use JavaScript variables for dynamic names, dates & personalized conversations • Automate emails with Vapi & n8n (including JavaScript variables) Production-ready Voice Agents & real business use cases • Step-by-step project: AI Voice Agent for restaurant reservations • Debugging, optimization & sentiment analysis for better call quality • Which types of Voice Agents deliver the most value – and how to sell them ElevenLabs & Prompt Engineering Masterclass • ElevenLabs Creative Platform: overview, voices & documentation • Prompt Engineering Masterclass specifically for phone & conversational AI agents • Deploy ElevenLabs agents directly into websites • Extend capabilities with n8n & webhooks for multi-tool automation • Advanced options: MCP, outbound calls, multi-agent workflows Special cases, Python Code & open-source solutions • Fine-tuning your own LLMs: when is it worth it? • LiveKit overview: building open-source voice agents with the Realtime API • AI avatars with voice & real-time interaction (OpenAI Realtime API + ElevenLabs + LiveKit) • Cursor: Use LLMs for Vibecoding to Build Agents • Python: Understand the LiveKit Python SDK Security & Compliance • Security for AI Voice Agents: jailbreaks, prompt injections & data poisoning • Data protection & compliance: GDPR, EU AI Act, privacy & ethical use After this course you will be able to: • Build and deploy AI Voice Agents from scratch • Work with the leading platforms: Vapi, ElevenLabs, Fonio & LiveKit • Extend them with n8n, RAG & MCP for advanced workflows • Make them production-ready and profitable for real-world clients • Ensure data privacy & GDPR compliance while scaling your automation Whether you want to automate customer support, booking calls, sales outreach or lead qualification – this course gives you the practical knowledge to build AI Voice Agents that actually work in business.

Lo que aprenderás

• Fundamentals of Voice Agents: Goals, strengths, weaknesses & business potential
• How Voice Agents work technically: LLMs, TTS (Text-to-Speech), STT (Speech-to-Text) & choosing the right models
• Platform overview: Vapi, Retell, Synthflow, ElevenLabs, Retell, LiveKit & other providers in direct comparison
• Economic viability of Voice Agents: Cost-benefit analysis & business opportunities
• Everything about Vapi – from beginner to pro: first Voice Agents, MCP integration, webhooks, RAG connection & phone calls
• ElevenLabs for professional voices: Creative platform, Prompt Engineering Masterclass & web integration
• System prompts for Voice Agents: Best practices, fine-tuning & practical example
• Embedding Voice Agents into websites & customizing with CSS
• Testing, debugging & optimizing Voice Agents for higher conversation quality
• n8n & Voice Agents: setup, API keys, workflows & MCP tools for automation
• Training RAG Voice Agents: uploading data into vector databases & generating intelligent responses
• Connecting MCP server with Vapi & other LLMs: DeepSeek, Llama, Mistral & more
• Extending AI automation with Voice Agents: email workflows, Google Sheets, databases & external APIs
• Adding & integrating phone numbers for inbound and outbound calls
• Production-ready AI Voice Agents step by step: practical example with restaurant reservations, debugging & sentiment analysis
• Special cases: fine-tuning your own LLMs, local AI solutions & open-source alternatives with LiveKit and the Realtime API
• Python: Learn to Create a Voice AI Agent with LiveKit and Cursor
• GDPR-compliant Voice Agents: call forwarding, phone number purchase, SIP integration & email automation with n8n
• AI avatars with voice & real-time interaction: ElevenLabs, LiveKit & OpenAI Realtime API
• Security, data protection & legal frameworks: GDPR, EU AI Act, jailbreaks & compliance

Requisitos

• No prior knowledge required – everything is explained step by step