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AI Voice Agents: Automation with Vapi, ElevenLabs, n8n & MCP (Udemy.com)

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

Created by: Arnold Oberleiter

Last updated July 2026

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What you will 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

How it compares

Against the other 461 rated Udemy courses in Data Science on CourseDuck:

  • Rating4.8 out of 5higher than 94% of them
  • Reviews130#393 of 462 by number of reviews
  • Length12.5 hourslonger than 64% of them
  • Last updatedJuly 2026more recently than 81% of them

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Course 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.

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Instructor Details

Arnold Oberleiter

English text below the German text!


Hallo zusammen,

Ich bin Arnold "Arnie" Oberleiter, Dozent im Bereich Künstliche Intelligenz.

Es ist mein Ziel, mein Wissen und meine Begeisterung für KI mit euch zu teilen.

Ich glaube fest daran, dass ein tiefes Verständnis von KI einen enormen Vorteil in unserer technologiegetriebenen Welt bietet. Ich befasse mich mit LLMs (die Technologie hinter ChatGPT) bereits seit 2018-2019, als es mit Transformer & DIffusion losging.

Arnie


English:


Hi everyone,

I’m Arnold “Arnie” Oberleiter, an instructor in the field of artificial intelligence.

My goal is to share my knowledge and enthusiasm for AI with you.

I strongly believe that a deep understanding of AI offers a huge advantage in our technology-driven world. I’ve been working with LLMs — the technology behind ChatGPT — since 2018–2019, back when Transformers and diffusion models started taking off.

Arnie

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Reviews

4.8

130 ratings on Udemy

Select a bar to show only those reviews.Select the bar again to show every rating.

By AdilKhursheed on 10/13/2026

This course provides a solid foundation for voice agents. Whether you're a beginner or an experienced developer looking to dive into voice agents, I think it's a great place to start. Although the coding part is missing, it gives you a good understanding of the overall system and the knowledge to build on it using the official documentation. Overall, a great course. Thank you, Arnie!

By Sameer Quraishi on 3/3/2026

This type of course can change the thought of being employee to be a employer or consultant. Thinks for your effort.

By Marco Spoel on 1/16/2026

This is not the first course I've taken from Arnie. This course meets my expectations. You can learn how to build an AI Voice bot and integrate it with backend services.

By Bernice Ruban on 1/7/2026

Great variety of tools and methods for building your own Voice Agent. Really learned a lot. Right mix of technical depth for someone who is interested to learn, but has no dev background.

By Gordon Edward on 11/15/2025

This information is fascintaing and valueable! I can tell it is highly lucrative. There is so much great skills to learn Here! Arnold's voice is great for teaching! German is great for learning AI!

By Gene Ishchuk on 11/13/2025

I think I know the basics now. I wasn't sure about the MCP but it works like a blast, indeed, especially with all those n8n internal tools I can include there. In theory, any other MCP would be connectable too but we don't know what's inside. Generally speaking, I am very excited about the course, it was fun too (Udemy courses rarely make you smile). Thanks, Arnie!

By Lucky John Faderon on 11/2/2025

I cannot sometimes follow the accent because I am Asian, and the CC was not working.

By Nanfa Chittisane on 10/28/2025

Excellent material. Exactly what I wanted to learn and I know the technology will keep getting better for AI Voice Agents. What I would recommend adding for the non-coders is where and how to initialize a Pinecone Vector Database locally as it didn't work for me nor did the Namespaces for them.

By Greg Lafrance on 10/17/2025

This is my second course with Arnie. The first course was creating AI automations with n8n, and I'm loving it. This course is starting out just as good, very detailed, step-by-step and highly practical.

By Julian Schileo on 10/7/2025

The course is simply perfect, everything is explained from start to finish and all essential information is included.

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Overall Score : 96 / 100