CF

n8n for AI Workflows and AI Agents

0h 0m 0s
English
Paid

n8n for AI Workflows and AI Agents is a 48-lesson self-paced course by Academind Pro (Maximilian Schwarzmüller). n8n works well with AI because you can build clear and stable workflows.

Course facts

Lessons
48
Duration
self-paced
Level
All levels
Language
English
Updated
Instructor
Academind Pro (Maximilian Schwarzmüller)
Price
Premium

n8n works well with AI because you can build clear and stable workflows. Many guides show simple links between apps, but these flows break when the input changes even a little. This course shows you how to build systems that keep working when things get complex.

What You Learn

You start with core ideas of how n8n works. You learn about triggers, nodes, data flow, and errors. You see how workflows pass data step by step. This helps you build flows that are easy to fix and grow.

Projects You Build

As you learn, you build full systems that run on real data.

  • AI email handlers that sort mail and write clear replies.
  • Content flows that create posts and articles and then publish them.
  • Image tools that use AI to create banners and previews.
  • Data tasks that read files, work with binary data, and return clean JSON.

Advanced Topics

Then you move to AI agents. These agents do more than answer text. They call APIs, use tools, search the web, and track context. You also learn RAG systems. You work with vector stores and pull the right facts from your own files.

Who This Course Helps

This course fits people who want to move past simple tools like Zapier or Make. It also helps students, AI builders, founders, and freelancers who need solid systems for daily work.

Your Results

You leave with more than a list of flows. You gain a clear view of automation design. You learn how to build your own AI systems from the ground up.

Who teaches n8n for AI Workflows and AI Agents? Academind Pro (Maximilian Schwarzmüller)

Academind Pro (Maximilian Schwarzmüller) thumbnail

Academind is the teaching brand of Maximilian Schwarzmüller (Max) and Manuel Lorenz, two German developers whose Udemy catalog has become one of the largest single-instructor presences on that platform. Max in particular is widely cited as one of the clearest teachers of the JavaScript framework landscape — his Angular, React, Vue, and Node.js courses have collectively taught millions of students.

The Academind Pro platform extends beyond Udemy with deeper, more comprehensive courses aimed at developers building real applications rather than picking up syntax. Course material covers the full modern web stack: React (including Next.js), Vue, Angular, Node.js, NestJS, TypeScript, Docker, AWS, React Native, Flutter, and the broader full-stack JavaScript ecosystem.

The CourseFlix listing under this source carries over 25 Academind Pro courses spanning that range. Material is paid; Academind Pro runs on per-course pricing on the original platform. Courses are taught in Max's signature thorough, build-an-application-with-me style — long-form, deeply project-based, and continuously updated as the underlying frameworks evolve.

What lessons are included in n8n for AI Workflows and AI Agents?

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#1: Welcome & Course Overview
All Course Lessons (48)
#Lesson TitleDurationAccess
1
Welcome & Course Overview Demo
00:35
2
n8n Overview & Installation With Docker
06:02
3
Interface & Core Nodes
03:03
4
The First Project
05:22
5
Section Introduction
01:16
6
Editing Fields
01:37
7
Splitting Out Fields
01:37
8
Validating Data With The IF Node
02:43
9
Adding Routed With Switch
01:26
10
Transforming Data
02:46
11
Merging Data
01:36
12
Sending Emails
02:41
13
Section Introduction: AI Workflows vs AI Agents
01:47
14
Getting Emails
03:15
15
Messaging The AI Model
02:41
16
Sending Slack Messages
02:08
17
Handling Binary Files
02:47
18
"Extract From File"
03:20
19
Creating Files: JSON vs Binary
03:37
20
JSON Schemas
04:17
21
Accessing Binary Metadata
02:21
22
The Blog & Social Media Generation Workflow
01:59
23
Preparing The Form Node
01:45
24
Using the OpenAI Nodes To Create Prompts & Posts
03:51
25
Sending HTTP Requests To Generate Images
04:30
26
Converting Base64 Strings to Binary
01:32
27
Handling the Google Gemini Image Output
03:49
28
Storing Data On Dropbox
03:25
29
Splitting Out Array Items
03:32
30
Adding The Social Media Routes
03:10
31
Preparing The Social Media Generation AI Nodes
05:44
32
Adding The Subworkflow
02:36
33
Section Introduction
00:50
34
The AI Agent
01:42
35
Adding Web Search
02:15
36
Adding Context Memory
01:38
37
Adding Tools
05:05
38
Running the AI Agent
03:19
39
Introducing RAG
02:35
40
Retrieving Past Support Emails
03:05
41
Storing Data In The Pinecone Vector Database
04:36
42
Retrieving Data From The Vector Database
03:20
43
Getting Full Conversations From Gmail
02:47
44
Sorting Data & Removing Duplicates
01:34
45
Summarizing & Concatenating Data
01:07
46
Creating The AI-Email Draft
02:04
47
Adding A Loop
02:22
48
Adding An AI Agent
05:02
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Frequently asked questions

What are the prerequisites for this course?
There are no specific prerequisites mentioned for this course. However, having a basic understanding of AI concepts and familiarity with automation tools like Zapier or Make may be beneficial. The course is designed to help those who want to move beyond simple automation tools.
What projects will I build during the course?
During the course, you will build several practical projects. These include AI email handlers that sort and reply to emails, content workflows that create and publish posts and articles, image tools for creating banners and previews using AI, and data tasks that manage file reading, work with binary data, and return clean JSON.
Who is the target audience for this course?
The course is suitable for individuals who want to advance beyond basic automation tools like Zapier or Make. It is particularly useful for students, AI developers, founders, and freelancers who need robust systems for everyday tasks and automation.
How does this course compare to other AI workflow courses?
Unlike many courses that focus on simple app connections, this course provides a deeper understanding of creating robust AI workflows with n8n. It covers advanced topics such as AI agents that interact with APIs and search the web, along with RAG systems and vector stores for efficient data handling.
What specific tools or platforms does this course cover?
The course specifically covers n8n, a tool for building clear and stable workflows. It includes topics like triggers, nodes, data flow, and error management. Advanced sections delve into AI agents and RAG systems, utilizing vector stores and API interactions.
What topics or skills are not covered in this course?
The course does not cover introductory AI concepts or basic automation tools in-depth, as it assumes an interest in moving beyond these. It also doesn't provide specific lesson titles or runtime details, focusing instead on practical applications and automation design with n8n.
How will this course benefit my career or other learning paths?
Completing this course will enhance your ability to design and implement complex AI workflows, making you more proficient in automation tasks. The skills gained are applicable across various roles in AI development, automation design, and operational management, providing a solid foundation for further learning and career advancement.