Master Ai Automation: Build Real Ai Agents From Scratch

Learn to design, build, and deploy powerful AI automation systems using n8n, Relevance AI, Voiceflow, Zapier, and more.

What you'll learn

How to build real AI agents from scratch — even with zero coding or tech background

How to use RelevanceAI, n8n, Voiceflow, and Zapier to create powerful automation workflows

How to design AI systems that handle customer support, content creation, lead follow-up, and more

How to build a voice-based AI agent that can answer phone calls and book appointments

How to run n8n locally for free and deploy your own automations without extra costs

The AI and IT fundamentals you need to understand what you're building, not just follow steps

A proven method for designing systems that actually solve business problems

How to offer AI Automation as a service — and what clients really want

How to go from “tool confusion” to clarity and confidence with AI workflows

A complete set of ready-to-use automations you can apply or customize for your own business or clients

Requirements

No special requirements needed. Basic IT and AI knowledge can help, but it’s not required — I explain everything in a way anyone can follow, regardless of their background or skill level.

Description

Do you want to learn how to build real AI agents from scratch — even with no technical background — and automate tasks like content creation, customer support, or scheduling, using no-code tools?Then this course is perfect for you! In this step-by-step training, I’ll show you how to build powerful, real-world AI agents using tools like n8n, RelevanceAI, Voiceflow, and Zapier — without needing to write complex code or spend weeks piecing together scattered tutorials.You’ll learn how to automate meaningful tasks like replying to leads, setting Zoom appointments, generating social media content, and even building a voice agent that can answer phone calls and book appointments for you.This course is beginner-friendly, and I include all the IT and AI basics you need to understand exactly what you’re building — so you don’t just follow along, but actually learn how it works. We’ll also cover how to design systems, run n8n locally for free, and even how to offer AI automation as a service to clients.By the end of the course, you’ll have built multiple working AI agents, gained a deep understanding of modern automation tools, and developed valuable skills you can use in your business or freelance work.If you’re ready to move beyond prompts and start building real AI systems that work for you — enroll now and start mastering AI automation today.

Overview

Section 1: Introduction

Lecture 1 Introduction

Lecture 2 Agenda and course content

Lecture 3 How to get the most out of the course

Section 2: Basic concepts of AI Agents and AI Automation

Lecture 4 Basics of AI Agents and AI Automation

Lecture 5 AI Agent platforms, Relevance AI & Co

Section 3: Crash Course AI

Lecture 6 Crash Course AI

Section 4: Crash Course IT

Lecture 7 Programming languages and syntax

Lecture 8 Different data types

Lecture 9 JSON

Lecture 10 Variables

Lecture 11 Logic

Lecture 12 Loops

Lecture 13 Python programming language

Lecture 14 API and Webhook

Lecture 15 Programming with ChatGPT

Lecture 16 JAVA and HTML

Lecture 17 Outlook IT basics

Section 5: Designing Systems

Lecture 18 Designing Systems

Section 6: Building an AI Agent with Relevance AI

Lecture 19 All resources of the chapter

Lecture 20 Part 1: Planning Phase

Lecture 21 Part 2: Building Phase (Introduction to Relevance AI)

Lecture 22 Part 2: Building Phase (Building the AI Agent)

Lecture 23 Part 3: Testing & Improving Phase (Intro)

Lecture 24 Part 3: Testing & Improving Phase (Building the Agent)

Lecture 25 Part 3: Testing & Improving Phase (Zapier intro and finishing the Agent)

Section 7: Building a social media generator with Relevance AI

Lecture 26 All resources of the chapter

Lecture 27 Part 1: Building the social media generator AI Agent

Lecture 28 Part 2: Building the social media generator AI Agent

Section 8: Building AI Agents with Voiceflow

Lecture 29 All resources of the chapter

Lecture 30 Intro to Voiceflow

Lecture 31 The Voiceflow Interface

Lecture 32 The Voiceflow Core Elements

Lecture 33 Creating a Customer Support AI Agent with Voiceflow (Fast, using a Template)

Lecture 34 Designing the Voiceflow Chatbot Interface

Lecture 35 Deploying the Voiceflow Chatbot to a Website

Lecture 36 Deploying the Voiceflow Chatbot to a Phone Number

Lecture 37 Building an Appointment Setter and Offer Generator Agent with Voiceflow

Lecture 38 Building Part 1

Lecture 39 Building Part 2

Lecture 40 Building Part 3

Lecture 41 Combine different Voiceflow Workflows in one Agent

Lecture 42 Setting up a Custom Form to collect User Data at Voiceflow

Lecture 43 Designing the Custom Form with Chat GPT

Lecture 44 Summary Voiceflow Chapter

Section 9: Building AI Agents with n8n

Lecture 45 All resources of the chapter

Lecture 46 Introduction to n8n

Lecture 47 Building a Newsletter and Content Agent with n8n - Introduction

Lecture 48 Building a Newsletter and Content Agent with n8n - Building Part 1

Lecture 49 Building a Newsletter and Content Agent with n8n - Building Part 2

Lecture 50 Building a Newsletter and Content Agent with n8n - Building Part 3

Lecture 51 Building a Personal Telegram Assistant with n8n - Introduction

Lecture 52 Building a Personal Telegram Assistant with n8n - System Overview and Demo

Lecture 53 Building a Personal Telegram Assistant with n8n - Connecting Telegram to n8n

Lecture 54 Building a Personal Telegram Assistant with n8n - Building the workflows Part 1

Lecture 55 Building a Personal Telegram Assistant with n8n - Building the workflows Part 2

Lecture 56 Building a Personal Telegram Assistant with n8n - Building the voice route

Lecture 57 Different ways to access n8n (n8n cloud, locally and Repocloud)

Lecture 58 How to use n8n locally via Docker

Lecture 59 How to import workflows locally and connect the Google services

Lecture 60 How to use n8n via Repocloud

Section 10: Building Ai Agents for other people (AI Automation as a business)

Lecture 61 Building AI Agents for other people

Section 11: Best practice and common problems

Lecture 62 Best practice building AI Agents

Lecture 63 Common problems and errors

Section 12: Best of 1.5 years AI experience and goodbye

Lecture 64 Best of 1.5 years of AI experience

Lecture 65 Goodbye

Beginners who want to understand how AI agents work — without needing a tech degree,Anyone frustrated by scattered tutorials and looking for a complete, step-by-step path,Freelancers or consultants looking to offer AI automation as a service,Creators and entrepreneurs who want to automate repetitive tasks with AI,Curious learners who want to future-proof their skills in the AI era