AI Voice Agents: Automation with Vapi, ElevenLabs, n8n & MCP | Udemy [Update 09/2025]
English | Size: 8 GB
Genre: eLearning[/center]
Build & Sell AI Agents with Vapi, ElevenLabs, LiveKit, Python, Cursor, n8n, LLMs, RAG, MCP, API, Generative AI & ChatGPT
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
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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