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AI for Software Testers: GenAI, AI Agents, MCP & N8N

Name: AI for Software Testers: GenAI, AI Agents, MCP & N8N
Rating: 4.7 (23 reviews)

Learn Generative AI, build AI Agents, Agentic AI, MCP Server, automate workflows N8N and real-world testing projects

Created byRahul Arora

Last updated 7/2026

English

English [Auto],

What you'll learn

Focused specifically on Test Engineers (not just generic AI)
Covers latest industry trends (AI Agents + MCP + Agentic AI)
Hands-on real-world projects
Simple explanations with practical examples

Course content

14 sections • 64 lectures • 10h 38m total length

Introduction3:26
What is GenAI?8:42
Generative Process, Fine Tuning, Prompt Engineers and LLMs8:22
What is Prompt Engineering?13:57
Learn to craft effective prompts for AI hosts to generate accurate test cases, debug scripts, and build automation frameworks, using zero-shot, one-shot, few-shot, and chain-of-thought techniques.
Prompt Engineering - Creating end to end project from the scratch7:36
Prompt0:53
Which AI Model to choose?5:11
GenAI vs AI Workflows vs AI Agents vs Agentic AI8:57
Gen AI creates new content from prompts, AI workflow enables execution with tools, AI agents think and act autonomously, and agentic AI coordinates multiple agents toward a common goal.

How is AI helpful in Software Testing?6:09
Discover how ai multiplies software testing efficiency by analyzing requirements. Analyze user scenarios and ui screens; generate test scenarios and test cases, data, and automation scripts with plain-English prompts.
Creating Detailed Test Plan based on the User stories10:37
Artificial intelligence helps testers turn user stories and srs into a foolproof test plan with test scenarios, deliverables, and requirement traceability, demonstrated using a simple gpt prompt for manual testing.
Creating Test scenarios based on the Test Plan document6:19
Creating a Detailed Test Case document from the Test Plan6:59
Turn test plan scenarios into a detailed Excel test case suite by prompting AI to generate positive, negative, and boundary cases with titles, steps, data, results, and statuses.
Ecommerce User story prompt2:48

What is Vibe Coding?5:17
Prerequisite to get started with AI in Automation2:45
GitHub Copilot plugin in VS Code5:39
Getting the Page Locators and Generating test cases with the power of AI11:36
Generate page locators for web elements and create AI-assisted test cases for positive, negative, and edge scenarios using Playwright TypeScript or Selenium Java.
Setting up the automation project from scratch in less than 10 minutes10:19
Leverage an AI agent to set up a Playwright TypeScript automation project from scratch, install dependencies, write a test for a dummy registration form, run the test, and display results.
Designing Enterprise level framework from scratch29:06
Page Object Model Prompt0:35
Detail prompt for Page Object Model3:20
Taking AI Agent assistance in executing and fixing existing Page Object Model8:02

What is MCP?9:16
Learn how the Model Context Protocol enables AI models to access external tools via MCP servers, safely using Playwright, Selenium, databases, and Excel files.
Claude Code - Playwright MCP server15:15
Installing Cursor IDE and configuring Selenium and Playwright MCP11:17
Configuring Claude Code for FREE using Ollama14:28
Claude Code CLI - AI Agent18:45
Explore cloud code, an AI coding agent by Entropiq, that can auto-create a Selenium Python page object model framework from scratch, install dependencies, and generate Playwright Python projects.
MongoDb MCP server12:58
Connect Rest API through OpenAPI MCP server6:23
API jar file0:01
Excel MCP server13:16
Build an Agent to perform Parameterization and End to End flow9:14
Buiding a Food Delivery AI Agent11:59
Explore building a food delivery AI agent with Swiggy MCP server to search restaurants, view menus, add to cart, and place orders via prompts.

Requirements

Basic understanding of software testing
No prior AI knowledge required
Basic programming knowledge is helpful but not mandatory

Description

Become an AI-Powered Test Engineer — Future-Proof Your Career

The world of software testing is changing fast.

Manual testing and traditional automation alone are no longer enough.
Companies are now looking for testers who understand Generative AI, AI Agents, and intelligent automation workflows.

If you don’t upgrade now, you risk falling behind.

This course is designed to help you transition from a traditional tester to an AI-powered QA Engineer — even if you’re starting from scratch.

What You’ll Achieve

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

1. Understand Generative AI (GenAI) and how it works in testing
2. Build and use AI Agents for real testing scenarios
3. Work with MCP Server (Model Context Protocol)
4. Create Agentic AI workflows for automation testing
5. Integrate AI into Selenium / Playwright / API testing workflows
6. Automate tasks like:

Test case generation
Bug analysis
Test data creation
Self-healing automation

7. Create complex N8N workflows

In short: You’ll learn how to make testing faster, smarter, and more efficient using AI

Why This Course is Different

Focused specifically on Test Engineers (not generic AI)
Covers latest industry trends (AI Agents + MCP + Agentic AI)
Hands-on real-world projects
Simple explanations with practical examples

Your Next Step

AI is not the future — it’s already here.

The question is:
Will you use AI… or be replaced by someone who does?

Enroll now and start your journey to becoming an AI-powered Software Tester.

Who this course is for:

Manual Testers who want to move into AI
Automation Testers (Selenium / Playwright / Cypress)
QA Engineers / SDETs
Anyone curious about AI in testing

AI for Software Testers: GenAI, AI Agents, MCP & N8N

What you'll learn

Explore related topics

Course content

Introduction to Generative AI8 lectures • 57min

Building the first AI Agent3 lectures • 26min

Becoming an AI Powered Software Tester5 lectures • 33min

Using AI in Automation9 lectures • 1hr 17min

Custom Agent and Skill.md2 lectures • 31min

Github Copilot plugin for Eclipse4 lectures • 31min

What is MCP server and Building multiple AI Agents11 lectures • 2hr 3min

End to End Manual to Automation Test WorkFlow2 lectures • 31min

JIRA Playwright Integration Agentic Workflow2 lectures • 28min

N8N Workflows5 lectures • 1hr 7min

Requirements

Description

Who this course is for: