CF

Build AI Agents with n8n

2h 51m 16s
English
Paid
Updated September 2026

Build AI Agents with n8n is a 25-lesson 2 hours 51 minutes self-paced course by Zero To Mastery. n8n's visual workflow builder means you can put together a working AI agent without writing code — and this 25-lesson course shows exactly how, from the underlying concepts to a deployed, scheduled automation.

Course facts

Lessons
25
Duration
2 hours 51 minutes
Level
All levels
Language
English
Updated
2026-09-11
Instructor
Zero To Mastery
Price
Premium

n8n's visual workflow builder means you can put together a working AI agent without writing code — and this 25-lesson course shows exactly how, from the underlying concepts to a deployed, scheduled automation.

Foundations First

You start with what AI agents actually are, how they make decisions, and the architecture behind that decision-making, before moving into hands-on builds.

Hands-On Integrations

  • Connecting large language models into your agent's workflow
  • Configuring triggers and nodes to respond to events
  • Linking agents to real services: Google Calendar, Gmail, Notion, Reddit, and Telegram
  • Feeding in live context with tools like OpenWeatherMap and SerpAPI

From Build to Deployment

The course closes with flexible task planning and deployment, so your finished agents can run reliably on a schedule or react to events on their own.

Additional

https://drive.google.com/drive/folders/1N_eAz5emLZW1o2gJUTQ525o6KY8LR2m0

Who teaches Build AI Agents with n8n? Zero To Mastery

Zero To Mastery thumbnail

Zero To Mastery (ZTM) is a Toronto-based online coding academy founded by Andrei Neagoie, originally a senior developer at large Canadian tech firms before turning to teaching full-time. The academy's signature is the cohort-based bootcamp track combined with a deep self-paced course library, all aimed at career-changers and self-taught developers preparing to land software-engineering roles at top companies.

The instructor roster has grown well beyond Andrei to include other senior practitioners: Daniel Bourke (machine learning), Aleksa Tešić (DevOps), Jacinto Wong, and others. Courses cover the full software-engineering career path: web development with React and Next.js, Python, machine learning and deep learning, DevOps and cloud, system design, mobile, and the algorithm / data-structure interview prep that gates engineering jobs.

The CourseFlix listing under this source carries over 120 ZTM courses spanning that full range. Material is paid; ZTM itself runs on a monthly / annual membership model. The teaching style favours long-form, project-based courses where students build complete portfolio-quality applications rather than disconnected feature tutorials.

What lessons are included in Build AI Agents with n8n?

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#1: Introduction
All Course Lessons (25)
#Lesson TitleDurationAccess
1
Introduction Demo
01:44
2
n8n Demo
07:12
3
AI Agents & AI Revolution
05:56
4
AI Agents Core Components
06:12
5
Building AI Agents Using n8n
07:08
6
Running n8n
05:01
7
Installing n8n in the n8n Cloud
04:49
8
n8n Fundamentals
09:43
9
Building Your First Automation Using n8n
15:03
10
Using n8n Templates
10:56
11
Inside the Workflow
07:04
12
Generating New Nodes
08:12
13
Integrating Notion into the n8n Worflow
09:15
14
Project Overview
04:22
15
Generating Mock Data for Google Calendar
04:32
16
Adding the Trigger Node
02:40
17
Adding the AI Agent Node
07:53
18
Changing the Brain (LLM)
05:59
19
Integrating Google Calendar
06:40
20
Giving the AI Agent Access to Date and Time in n8n
04:14
21
Adding the OpenWeatherMap Node
05:04
22
Enabling Web Search with SerpAPI
06:16
23
Adding the Gmail Node to Send the Report
07:50
24
Adding a Telegram Send Node
08:41
25
Automating the n8n Workflow
08:50
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Frequently asked questions

What are the prerequisites for enrolling in this course?
The course is designed for individuals without a background in programming, making it accessible to beginners interested in AI and automation. Familiarity with basic computing and internet navigation is sufficient. There are no specific technical prerequisites, as the course provides a user-friendly visual process designer to guide you through building AI agents with n8n.
What kind of projects will I build during this course?
Throughout the course, you will work on creating AI agents capable of interacting with real-world services. You will integrate these agents with platforms such as Google Calendar, Gmail, Notion, and Telegram. The course also covers setting up workflows with triggers and nodes to automate tasks and enhance agent capabilities with contextual data from OpenWeatherMap and SerpAPI.
Who would benefit the most from taking this course?
This course is ideal for individuals interested in automation and AI who do not have prior programming experience. It suits professionals looking to enhance productivity through intelligent agents and anyone interested in leveraging AI for practical applications. Entrepreneurs and business analysts aiming to integrate automation into their workflows would also find this course valuable.
How does this course compare in depth to other AI courses?
While many AI courses focus on programming and complex algorithms, this course emphasizes practical application using n8n's visual designer. It covers the foundational concepts of AI agents and their integration with various services, making it suitable for beginners. The course focuses on real-world automation and integration over theoretical depth, providing a hands-on experience with AI agents.
What specific tools and platforms will I learn to use?
You will learn to use the n8n automation tool, which facilitates the creation of AI agents without coding. The course covers integration with various platforms, including Google Calendar, Gmail, Notion, Reddit, and Telegram. Additionally, you will gain experience using OpenWeatherMap and SerpAPI to enhance your agents with contextual data like weather conditions and web search results.
What topics are not covered in this course?
The course does not cover in-depth programming or the development of AI models from scratch. Instead, it focuses on using existing AI technologies and platforms like n8n to automate tasks and integrate services. It is not intended for those seeking to learn advanced AI development or programming skills, but rather for individuals interested in practical applications of AI.
How much time should I expect to dedicate to this course?
The course consists of 25 lessons, and while the total runtime is listed as 00:00:00, prospective students should expect to spend time not just on the video content but also on hands-on exercises and project work. Dedicating a few hours per week should allow you to complete the course in a reasonable timeframe, depending on your pace and familiarity with the topics.