
Udemy - AI Voice Agents: Automation with Vapi, ElevenLabs, n8n & MCP
AI Voice Agents: The Next Evolution of Conversational AI AI Voice Agents are transforming the way businesses and individuals interact. But how do you actually build and deploy production-ready AI Voice Agents? 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
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.
Which platforms and tools deliver the best results?
And how can you turn them into a profitable business opportunity?

AI_Voice_Agents_Automation_with_Vapi__ElevenLabs__n8n___MCP.part2.rar - 3.0 GB
AI_Voice_Agents_Automation_with_Vapi__ElevenLabs__n8n___MCP.part3.rar - 2.0 GB
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