AI Builder with n8n: Create Agents & Voice Agents

AI Builder with n8n: Create Agents & Voice Agents

AI Builder with n8n: Create Agents & Voice Agents is a no-code / low-code course focused on helping learners build real, production-ready AI agents using n8n v2.0. Instead of teaching theory-heavy AI concepts, this course is designed around hands-on agent workflows, automation, and voice-based systems that can be deployed quickly for real business use.

The course emphasizes agentic workflows, showing how AI agents can plan, reason, retrieve information, and take actions across multiple tools—without writing traditional code.

Course Snapshot

• Instructor: Ed Donner

• Students Enrolled: 4,256

• Rating: 4.8 / 5 (Highest Rated)

• Content Length: ~14.5 hours

• Skill Level: Beginner to Intermediate

• Language: English (Auto captions)

• Certification: Certificate of completion included

• Access: Full lifetime access (mobile & TV supported)

What This Course Actually Covers

This course is structured as a 3-week practical learning path where learners build AI agents step by step using n8n workflows, LLM APIs, and voice platforms.

Rather than focusing on a single AI tool, the course teaches how to connect language models with business systems, enabling agents to perform tasks like monitoring data, handling conversations, scraping information, and triggering actions automatically.

Master n8n AI Agents: Build & Sell AI Agents and Automations

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Skills & Concepts You’ll Work With

No-Code & Low-Code AI Agents

• Building autonomous AI agents in n8n without traditional programming

• Designing workflows that plan, reason, and execute multi-step tasks

• Understanding agent autonomy vs control in real systems

Agentic AI & Workflow Automation

• Creating agentic workflows using triggers, conditions, and tool calling

• Working with Webhooks, expressions, JSON transformations, and data routing

• Designing scalable automation pipelines for business use cases

Voice Agents & Conversational AI

• Building real-time Voice Agents using ElevenLabs and Twilio

• Handling live conversations, objections, and call-based workflows

• Triggering business actions directly from voice interactions

Retrieval-Augmented Generation (RAG)

• Implementing Agentic RAG pipelines using Supabase vector stores

• Enabling agents to work with proprietary business knowledge

• Designing knowledge-aware AI systems for domain-specific tasks

Multi-Agent Systems & MCP

• Building multi-agent workflows using Model Context Protocol (MCP)

• Scraping, enriching, and processing data with tools like FireCrawl

• Coordinating multiple agents for lead generation and go-to-market systems

Business Tool Integrations

• Connecting AI agents with Google Sheets, Gmail, Slack, Telegram, Drive

• Automating repetitive admin and operational tasks

• Managing authentication using API keys and OAuth2

Project-Based Learning

The course is heavily project-driven, including:

• Autonomous financial agent that tracks market data and rebalances portfolios

• Conversational voice agent using RAG for domain expertise

• Multi-agent go-to-market system for lead scraping, enrichment, and scheduling

Each project reflects real business automation scenarios, not demos.

Who This Course Is Best Suited For

• Founders and operators wanting AI automation without coding

• No-code / low-code builders

• Product managers and growth teams

• Developers exploring agentic workflows without heavy frameworks

• Anyone curious about practical AI agents beyond chatbots

Common Questions Learners Ask

Do I need programming experience?
No. The course is designed for complete beginners and experienced professionals alike.

Is this theory-heavy?
No. The focus is on building working agents and workflows.

Does it include voice agents?
Yes. Voice agents using ElevenLabs and Twilio are a core part of the course.

Can these workflows be used in real businesses?
Yes. All projects are designed around realistic, deployable use cases.

Practical Value

What makes this course stand out is its execution-first approach. Learners don’t just learn what AI agents are—they build them, connect them to real tools, and understand how to control autonomy, cost, and reliability in production workflows.

The use of n8n as the core platform makes the concepts transferable to many automation and orchestration systems.

Final Thoughts

If you’re looking to enter the world of AI agents and automation without writing code, this course provides a clear, structured, and practical starting point. It’s especially useful for learners who want working systems quickly, not just conceptual understanding.