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

Name: AI Voice Agents: Automation with Vapi, ElevenLabs, n8n & MCP
Rating: 4.6 (104 reviews)

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

Bestseller

Highest Rated

Created byArnold Oberleiter

Last updated 11/2025

English

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

Course content

9 sections • 84 lectures • 12h 29m total length

Welcome!0:09
Course Overview6:42
Explanation of Course Links1:49
Access all course links and resources in the important links lecture and accompanying PDF, including 11 Labs, Life Kit, GitHub, OpenAI playground, pinecone, and related docs.
Important Links0:33
Instructor Introduction: Arnold Oberleiter (Arnie)1:20
Tips and Goals for the Course6:34

What to Expect in This Section1:02
The Goal of Voice Agents: Strengths and Weaknesses Overview8:54
Understanding Voice Agents: How the Technology Works8:51
Which Models Fit the Setup: LLMs, TTS, STT12:16
Match models to processes: speech-to-text balances speed, accuracy, cost (Deepgram, 11 labs, Azure); ai models (OpenAI mini, Gemini flash) with minimal reasoning; text-to-speech via 11 labs; gpt real-time for latency.
Which Platforms Exist for Voice Agents? Overview & Comparison4:54
Are Voice Agents Economically Viable? Cost-Benefit Analysis7:13
Evaluate the economics of voice agents vs. humans, highlighting per-minute costs and 24/7 availability. AI costs about 0.13 USD per minute, humans about 0.57, with a human-in-the-loop for complex calls.
Recap4:24
Recap the basics of voice agents, compare text-based LM processing with real-time multimodal APIs, and review platforms like Vaapi, 11 Labs, and Live Kit for scalable, cost-efficient automation.
Voice AI Agents – Mini Quiz

What to Expect in This Section1:44
Vapi Sign-Up and Overview17:00
Build a Simple Voice Agent in Vapi: LLMs, STT, TTS, System Prompt & Rag Database17:00
AI Agent as Appointment Booking Assistant: ElevenLabs Voice & Prompt Engineering25:51
Further settings & dynamic JavaScript variables (date, name, and more)14:03
Integrating the AI Agent into a Website & Customizing with CSS15:18
Tipp: Bridge waiting times and pauses with filler words4:47
Testing, Debugging and Improving the Voice Agent17:27
Tip: Find the perfect LLM on OpenRouter (and fix context loss)8:39
Discover how to pick the right LLM on Open Router by checking rankings and context window sizes, copy a model name, and test free and paid options for voice agent.
Recap4:40
Explore building AI voice agents with Waapi, ElevenLabs, and Google Calendar integration, covering setup, prompts, model selection, custom knowledge bases, and thorough testing for reliable customer support.

What to Expect in This Section1:18
n8n Crash Course: Sign-Up, Overview, Triggers, API Keys, Workflows, JSON & More21:25
n8n workflow builder with ai3:36
Discover how to update the cloud addon, create ai-driven workflows with n8n, and use templates, data tables, and a vector database to build a direct knowledge assistant.
Connecting n8n with Vapi via MCP (Adding Tools)16:55
Extending AI Automation: Email Workflows summary with n8n MCP13:19
Get Information from a Google Sheet or SQL Database with n8n MCP5:41
Training a RAG App for Vapi Voice Agents: Uploading Data to a Vector Database15:05
Connecting a Pinecone Vectordatabase with n8n MCP and Vapi8:34
Connecting the MCP Server with Other AI Models like Claude Desktop or Cursor8:06
JSON File for Claude Desktop0:02
Sending confirmation emails automatically to your clients6:38
Adding Phone Numbers for Inbound Calls8:14
Adding Twillio Phone Numbers for Outbound Calls13:45
Recap5:03

What You’ll Learn in This Section1:14
Which Voice Agents Should You Build and How Much Are They Worth7:30
First Layouts of What We Can Build3:28
Create a prototype of an inbound AI agent to automate restaurant bookings using a mind map, Google Sheets for bookings, and a dynamic database with system prompts and tools.
AI-Powered Voice Agent for Restaurant Reservations (Systemprompt & RAG)11:36
Example Systemprompt1:38
MCP Tool Integrations for Booking Tables11:23
Store Information Intelligently in a Database with AI17:32
Debugging, Optimizing, Prompt Engineering Tips & More9:03
Test early with clients, review logs and transcripts, optimize speech and intent recognition, and iteratively refine system prompts using the GPT five optimizer before production.
Transfers, Escalations and Human in the Loop5:32
Learn to manage transfers and escalations, transfer calls, and escalate to a human when issues can't be resolved, using system prompts and human-in-the-loop routing.
Including Sentiment Analysis in your App6:58
Learn how to embed sentiment analysis in your app using a system prompt and a summary prompt, test with transfer calls, and monitor user happiness in real time.
More Options: Custom Functions, Squads, End Call Tool, Sending Texts & more9:11
Recap4:42
Plan, build, and test a voice AI agent for production by crafting a simple, effective layout, robust system prompts, and tool integrations such as Google Sheets and webhooks.

What We Learn in This Section2:05
Overview: ElevenLabs Creative Platform, Voice Agents & Documentation18:32
Prompt Engineering Masterclass from Elevenlabs for AI Phone Agents15:30
Simple ElevenLabs Agent to Website Implementation24:43
Webhooks for Tools: Connecting ElevenLabs and n8n15:49
Additional Tools via Webhooks: Connecting n8n Agents with ElevenLabs25:10
Quick tip: How to Use Templates1:55
Agent Workflows7:41
Testing and Debugging3:15
More Possibilities: MCP, Phone Numbers, Outbound Calls & More3:35
Extend your ai voice agents by integrating knowledge bases, tools, and testing across agents. Connect MCP servers, import numbers from Twilio or zip trunk, and perform outbound batch calls.
Recap: ElevenLabs Voice Agents, Webhooks & n8n Integration4:30

Section Overview: Python, Cursor, LiveKit & Fine-Tuning LLMs2:15
Explore live Kit and cursor with Python to build a real-time ai voice agent, install tools, run a small coding exercise, and briefly discuss fine-tuning llms.
Installing Python, pyenv, pip & the uv Package Manager10:08
Cursor Crash Course: Install, Explore the Interface & Start Vibe Coding25:47
LiveKit Overview6:48
Python: Creating an AI Avatar with Voice in LiveKit (OpenAI Realtime API)28:39
Python: End your app, change voices, restart, use different prompts4:37
Publish your Python project on GitHub (or copy my repo)5:35
More Options with LiveKit and Python2:38
Fine-Tuning Your Own LLM: Is the Effort Worth It?11:58
Recap of LiveKit, Python, Cursor and Finetuning4:32
Install python and pip, set up cursor with the LiveKit real-time API, manage env files and API keys, and explore prompts; understand fine-tuning with JSON examples.

Business Section Overview: What You’ll Learn in This Part0:43
Business Fundamentals for AI Voice Agents (AI Automation Agency)14:36
Ai Automation Agency: Your First Client for a Voice AI Agency5:41
Choose a single niche, research its pain points, and build a small voice agent solution; test with 5–10 prospects for free to prove value, then monetize after one happy client.
AI Automation Agency: Pricing Strategy for Voice Agents13:22
Self-Hosting n8n for your Voice AI Automation Agency Business8:37
Learn how to self-host n8n for a voice AI automation business, compare cloud options with Hostinger hosting, and set up Docker Compose workflows to save costs.
Business Section Recap: Key Takeaways for Your AI Automation Agency2:48

What We’ll Learn in This Section1:15
Example of a Misbehaving MCP Server (you got hacked)4:43
Tool Poisoning, MCP Rug Pulls & Other Security Vulnerabilities17:36
Attacks on LLMs: Jailbreaks, Prompt Injections & Data Poisoning5:02
Authentication and API Keys2:30
Copyrights, Data Privacy, Censorship, License & Compliance28:20
Understand copyrights, data privacy, censorship, licenses, and compliance for voice agents, emphasizing API use, local models, and GDPR compliance with Europe data residency.
My Thank You, Whats Next and a big Recap9:46
Mini Practice Test: Which characteristics does an LLM need for a voice agent?
Bonus0:12

Requirements

No prior knowledge required – everything is explained step by step

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

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

What you'll learn

Explore related topics

Course content

Introduction: Overview and Tips6 lectures • 17min

What We Build – and How the Technology Works7 lectures • 48min

Vapi Basics: Creating Your First AI Voice Agents and Integrating into a Website10 lectures • 2hr 6min

Expanding Voice Agents: n8n, MCP, Tools & Phone Integration14 lectures • 2hr 8min

Building Production-Ready AI Voice Agents: Step-by-Step Practical Example12 lectures • 1hr 30min

Voice Agents with ElevenLabs & Prompting Masterclass11 lectures • 2hr 3min

Special Cases: Fine-Tuning LLMs, Local AI Solutions, Python, Cursor & More10 lectures • 1hr 43min

Voice Agents Business Quick Start & Self-hosting of n8n6 lectures • 46min

Security, Compliance & Common Issues with Voice Agents & MCP8 lectures • 1hr 9min

Requirements

Description

Who this course is for: