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
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What you'll learn
- 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
Description
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.
Who this course is for:
- Anyone who wants to learn something new and dive deep into AI automation with voice agents
- Entrepreneurs who want to become more efficient, save money, or build an AI business
- Private individuals interested in AI & automation who want to build their own agents
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