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N8N AI Automation Mastery Course Details
 

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Batch Date: July 31st @9:00AM

Faculty: Mr. Venky (5+ Yrs of Exp,..)

Duration : 1 Month

Venue :
DURGA SOFTWARE SOLUTIONS,
Flat No : 202, 2nd Floor,
HUDA Maitrivanam,
Ameerpet, Hyderabad - 500038

Ph.No: +91 - 8885252627, 9246212143, 80 96 96 96 96

Syllabus:

N8N AI Automation Mastery
(ZERO CODING)

 

Concept (What You Learn)

Hands-on Project (What You Build)

  1

Orientation: what is automation, where n8n fits (no-code/low-code landscape), course roadmap

— (orientation  )

  2

Orientation: installing n8n (Cloud / Docker / npm), interface walkthrough

Get n8n running and open your first blank workflow

  3

Workflows & the Manual Trigger

Build a "Hello World" workflow that sends yourself an email

  4

Trigger nodes: Webhook & Schedule

Scheduled workflow that fetches live weather data and logs it

  5

Core nodes: HTTP Request & Set

Pull data from a public API and reshape it with the Set node

  6

Logic & branching: IF, Switch, Merge

Workflow that routes data down different paths based on a condition

  7

Connecting & managing app credentials safely

Connect Gmail + Google Sheets and test a read/write

  8

Data structure in n8n: items, JSON, expressions

Transform Sheet data live using expressions

  9

Google Sheets automation, deep dive

Auto-save Google Form responses into a Sheet + email alert

  10

WordPress automation basics

Auto-publish a WordPress post from a Google Sheet row

  11

Email automation: Gmail/Outlook triggers

Build an auto-reply system for incoming emails

  12

Slack API & bot basics

Slack bot that posts a daily reminder

  13

Telegram Bot API

Telegram bot that replies to user messages

  14

Discord bots & webhooks

Discord bot that posts alerts from a workflow

  15

Designing multi-app workflows

Connect Sheets + Telegram + Email into one workflow

  16

WhatsApp Bot API

WhatsApp bot that replies to user messages

  17

Building an AI chatbot flow

Simple Q&A chatbot running inside Telegram

  18

Memory & conversation context

Add memory so your chatbot remembers earlier messages

  19

What is RAG (Retrieval Augmented Generation) and why it matters

Prepare and chunk a sample document set for retrieval

  20

Embeddings & vector stores, explained simply

Generate embeddings for your documents and store them

  21

Building a RAG chatbot (PDF/website Q&A)

Working chatbot that answers questions from your own PDF

  22

Error handling at node level

Add try/catch style error handling to an existing workflow

  23

Error handling at workflow level & alerts

Workflow that notifies you automatically on failure

  24

Human-in-the-loop (HITL) workflow design

Add an approval step (Slack/email) before an action runs

  25

Web scraping basics with n8n

Scrape a webpage and extract structured data

  26

Working with image/media APIs

Build a meme generator bot (fetch image + add caption)

  27

Combining scraper + AI + auto-posting

Bot that scrapes content, summarizes with AI, and auto-posts it

  28

Testing, versioning & backing up workflows

Export/import workflows and set up a backup routine

  29

Capstone planning & architecture

Design your capstone workflow on paper before building

  30

Capstone build & presentation

Build, demo and present your final AI-automation project

Student / Beginner Track

1: Orientation: what is automation, where n8n fits (no-code/low-code landscape), course roadmap

2: Orientation: installing n8n

3: Workflows & the Manual Trigger

4: Trigger nodes: Webhook & Schedule

5: Core nodes: HTTP Request & Set

6: Logic & branching: IF, Switch, Merge

7: Connecting & managing app credentials safely

8: Data structure in n8n: items, JSON, expressions

9: Google Sheets automation, deep dive

10: WordPress automation basics

11: Email automation: Gmail/Outlook triggers

12: Slack API & bot basics

13: Telegram Bot API

14: Discord bots & webhooks

15: Designing multi-app workflows

16 WhatsApp Bot API

17: Building an AI chatbot flow

18: Memory & conversation context

19: What is RAG (Retrieval Augmented Generation) and why it matters

20: Embeddings & vector stores, explained simply

21: Building a RAG chatbot (PDF/website Q&A)

22: Error handling at node level

23: Error handling at workflow level & alerts

24: Human-in-the-loop (HITL) workflow design

25: Web scraping basics with n8n

26: Working with image/media APIs

27: Combining scraper + AI + auto-posting

28: Testing, versioning & backing up workflows

29: Capstone planning & architecture

30: Capstone build & presentation