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

Build & Sell AI Agents with Vapi, ElevenLabs, LiveKit, Python, Cursor, n8n, LLMs, RAG, MCP, API, Generative AI & ChatGPT

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.