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n8n: AI Agents & Automation for Absolute Beginners (No Code)

Name: n8n: AI Agents & Automation for Absolute Beginners (No Code)
Rating: 4.7 (124 reviews)

Build AI Agents & Automate Workflows with n8n, Zapier & OpenAI | RAG, Multi-Agent Systems, No-Code, Real-World Projects

Created byLogix Academy | 200,000+ Enrollments Worldwide

Last updated 7/2026

English

English [Auto],

What you'll learn

Build no‑code AI agents and automations in n8n and Zapier — no programming required.
Create practical AI workflows: chatbots, email‑monitoring agents, and audio transcription + summarisation pipelines.
Use modern LLMs like ChatGPT and Gemini inside n8n to add intelligence to your automations.
Design and run a Retrieval‑Augmented Generation (RAG) workflow in n8n so agents can answer questions over your own documents.
Connect real‑world tools (Gmail, Google Drive, Sheets, Docs) and orchestrate them with APIs and Webhooks in n8n.
Understand when a single AI agent is enough and when you need multi‑agent systems, using CrewAI as a concrete example.
Turn any repetitive knowledge‑work task into an automated workflow you can reuse at work or for clients.
Think like an automation architect: break down business problems into triggers, nodes and AI steps you can delegate to agents.

Course content

6 sections • 24 lectures • 4h 30m total length

Course Introduction2:32
Explore foundational concepts of AI agents, no-code automation with tools like n8n and Zapier, and RAGs, building end-to-end workflows from chatbots to weather alerts, audio transcription and summarization.
Generative AI: Introduction6:06
Explore how generative AI creates new content—text, images, music, and ideas—by training on large datasets. See how it enhances creativity through real-world impact in creative industries, chatbots, and research.
Introduction to AI Agents3:40
Discover how ai agents autonomously perceive data, remember experiences, reason and plan, and act to automate tasks, as shown by a central smart home agent.
Introduction to Automation and Zapier24:16
Discover how generative AI enables automation by building end-to-end workflows with Zapier, using triggers, actions, and AI as the brain for tools like Gmail and Slack.
Zapier: Creating More Elaborate Workflows Using Paths22:07
Learn to design multi-path Zapier workflows that route Google Form responses through Google Sheets by issue type: urgent inquiries forward to Slack, while general inquiries trigger automatic Gmail responses.

Introduction to n8n and Our First AI Chatbot17:54
Compare n8n with Zapier, explore hosting options, and build an ai chatbot workflow using a visual node-based interface, API integrations, memory, and Google Gemini as the model.
Using Gemini vs OpenAI as LLM9:45
Compare Gemini and OpenAI LLMs to choose the right tool for AI agents, noting cost, accessibility, multimodality, ecosystem, and stability.
Setting Up Google Drive, Sheets and Docs Access6:14
Configure Google Drive, Google Sheets, and Google Docs API access by creating a Google Cloud project, enabling the APIs, setting up OAuth consent, and downloading the client secret JSON.
Audio Transcriber and Summariser17:45
Create an end-to-end workflow that transcribes audio from Google Drive to text, highlights a concise summary, and creates and updates a Google Docs document with the result.
Practice Activity Audio Transcriber and Back to Audio1:05
Modify the audio transcriber workflow to convert the generated summary into an audio file and upload the audio summary to Google Drive, duplicating and adapting an existing workflow as needed.
Solution Practice Activity Audio Transcriber and Back to Audio5:26
Create an end to end workflow that converts a summary into audio with OpenAI, then uploads the generated audio to Google Drive for end to end automation.

Key Nodes in the n8n Ecosystem12:50
Survey core n8n nodes across four categories: decision nodes (if and switch), data aggregation and manipulation (merge, summarize), set and code nodes, and wait or scheduling nodes for no-code automations.
Data Manipulation and Summarisation15:00
Automate data manipulation using no-code workflows to import sales sheets, rename fields, calculate sales amount, filter paid orders, and summarize totals by product into a downloadable xlsx.
Introduction to APIs6:27
Explore APIs, or application programming interfaces, and how endpoint URLs, get and post requests, and JSON responses enable data from services like weather and OpenAI.
Custom API Endpoints3:48
Create a tiny custom api endpoint using a mock server to demonstrate api calls, responses, and interconnections, then call it from n8n and display a json output.
Webhooks in n8n6:03
Describe webhooks as the reverse of API calls, with servers pushing updates to a client endpoint. Use n8n to trigger workflows via webhooks, including test and production URLs.
Putting It All Together: Sentiment Analysis Workflow26:49
Master sentiment analysis workflows in no-code automation using n8n, with OpenAI sentiment node, schedule triggers, Google Drive data, data merging, http requests to webhooks, quick charts API, and Slack delivery.

Retrieval Augmented Generation (RAG)6:00
Retrieval augmented generation combines pre-trained LLM knowledge with retrieved internal data sources via vector databases to produce more accurate, scalable, and company-specific responses.
Creating a RAG Workflow in n8n11:55
Create a rag workflow in n8n that uploads Google Drive documents to a Pinecone vector store using OpenAI embeddings, then answers prompts with a chat AI.

Why One Agent is Not Enough7:13
Discover how a team of AI agents outperforms a single agent by dividing tasks—research, writing, fact checking, formatting—mitigating context fatigue and boosting quality.
Multi-Agent Team Structures13:17
CrewAI: Wire-framing Leads Qualification Pipeline13:06
Design a three-agent lead qualification pipeline in Crew AI, with collector, qualifier, and router, wireframing, handoffs, and guardrails to sort hot, warm, cold leads for automated routing.
CrewAI: Implementing the Leads Qualification Pipeline29:07

Requirements

No programming experience required, you will learn everything that you need in the course.

Description

This course contains the use of artificial intelligence.

2026 is the year of AI agents, not just AI chatbots.

While most people are still “chatting” with ChatGPT, companies are quietly using n8n + AI agents to answer emails, qualify leads, triage support tickets and even make phone calls — all without writing a single line of code.

In this practical, no‑code course you’ll build real AI agents and automations using n8n, Zapier and modern LLMs (ChatGPT, Gemini, Claude). You’ll design agents that can monitor inboxes, transcribe and summarise audio, search and summarise documents, and plug into business workflows — so you and your team can focus on higher‑value work, not repetitive tasks.

This course is designed for Absolute Beginners. If you can use a browser and drag‑and‑drop blocks, you can follow along. No coding, no DevOps, no maths — just step‑by‑step projects.

By the end of this course, you’ll be able to:

Explain what AI agents are and how they differ from simple automations — in plain English.
Use Zapier and n8n to build multi‑step workflows that move data between Gmail, Google Drive, Sheets, Docs and more, with no code.
Build an AI email assistant that monitors your inbox, classifies messages and drafts replies.
Create an audio transcription + summarisation workflow that turns meetings, podcasts or voice notes into structured notes automatically.
Design and run a Retrieval‑Augmented Generation (RAG) workflow in n8n, so your agents can answer questions over your own documents.
Understand when a single AI agent is enough and when you need multi‑agent systems (CrewAI) — and build simple multi‑agent flows from scratch.
Think like an automation architect: break down a business problem into triggers, nodes, APIs and AI steps you can automate.

Why This Course Is Different

Beginner‑friendly, no code: Designed for non‑developers. Every workflow is built step‑by‑step on screen.
Agent‑first, not theory‑first: You’re always building something useful (email assistant, audio summariser, RAG agent) instead of just hearing definitions.
Real tools used in real teams: n8n, Zapier, modern LLMs (ChatGPT, Gemini etc.) — the same stack companies and agencies use in production.
Project‑based learning: You don’t just “watch” automations; you build and test them yourself with provided prompts and workflow JSON.
Importable workflows: Downloadable n8n workflows and prompts so you can start from working examples and customise, not build from a blank canvas.

Who This Course Is For

Beginners who want to learn AI and automation
Freelancers and entrepreneurs who want to offer AI agents and automations as a paid service
Engineers who want to jumpstart their career in Agentic AI by building hands-on skills on AI agents and automation
Business professionals looking to automate repetitive tasks
Freelancers and entrepreneurs wanting to build AI Agents for business use cases
Tech enthusiasts who want to explore AI tools without the coding barrier

What Are The Students Saying

"Very Nice Course. This course provides a clear and structured introduction to topic. The explanations are easy to follow and the practical examples helped me understand real-world use cases." [R. Nimkar]

"Very well structured, great content for what I needed. Good examples and detailed. Well done" [P. Hastoy]

"I've just finished the course, it was really good. I've learnt a lot of important stuff. I recommend it " [F.R Valli]

"It was good, systemically designed for someone without having any coding background" [Ravi]

"I find this course very insightful and an excellent resource to up your gain and understanding on Agentic Ai and some Ai related workflows" [S.N. Otuafo]

"Very well explained along with exercises. Thanks" [R. Jhajhariya]

"Amazing course on Agentic AI. Covers all the key areas and has several helpful hands on activities. I found the course to be extremely easy to follow and interesting. Teacher's style is very nice and engaging and all the concepts even if complex have been explained super clearly. I think it's the perfect course for beginners to this field." [Mansour]

Requirements

A computer with internet access
An open mind and a willingness to explore
Absolutely no coding knowledge required

Who this course is for:

Aspiring AI Engineers
Professionals who want to jumpstart their career as Agentic AI Engineers
AI enthusiasts
Freelancers and entrepreneurs who want to offer AI agents and automations as a paid service

n8n: AI Agents & Automation for Absolute Beginners (No Code)

What you'll learn

Explore related topics

Course content

Introduction5 lectures • 59min

n8n6 lectures • 58min

n8n Deep Dive: Key Nodes, APIs and Webhooks6 lectures • 1hr 11min

Retrieval Augmented Generation (RAG)2 lectures • 18min

Multi-Agent Systems4 lectures • 1hr 3min

Conclusion1 lecture • 2min

Requirements

Description

Who this course is for: