Learn Genai Tools & Ai Agents For Software Testing

2025 -Learn how Gen AI , AI Agents, AI plugins can boost your QA Automation productivity & demo of AI Powered Test tools

What you'll learn

Learn how to use Gen AI LLM's effectively to maximize your QA Productivity with smart prompt engineering skills

Understand how to Generate & optimize the Test code into framework standards with Gen AI Plugins such as Github copilot etc

Get overview of AI Powered Testing tools in current market and their capabilities for revolutionizing Test Automtion

Learn how AI Agents work and how they can be used to perform Codeless browser Automation with help of LLM's

Understand how to work with offline LLM's with full privacy and customize the LLM as per your project requirements

Learn generating Test Artifacts in fly such as TestPlan, Testcases, TestData, Bug templates for given Business requirements

Learn generating API Automation tests to framework level & SQL Queries with simple prompting to AI

Requirements

No programming experience needed.

Description

Course last Updated -August 2025 with topic : Claude Code - The Power of AI at terminal levelEager to learn and catch up with all the AI stuff?  - You are at right place . This AI Testing course is designed to be your ideal companion, teaching how to use AI applications for your daily testing needs.Firstly, we will start with basic understanding of what AI Applications, Large language models & AI Agents are!  And then we deep dive into course content as three learning phases:Below is breakupModule 1. Use of Generative AI for TestingHow to Generate Test plan, Test Data, Test cases, UI Automation codes (Selenium/Playwright/Cypress), API Automation (Rest Assured), Framework code Snippets (TestNG/Cucumber/Pytest), Database queries etc.How to fix code issues and be productive on your working Code repository using tools such as GitHub copilot etc.Essential GenAI Testing plugins to boost the productivityHow to get LLM's work offline and fine tune LLM's according to your project requirements. Module 2. AI Agents to drive Test Automation ~~ Slightly TechnicalLive demo of how AI Agents in Software Testing can effortlessly perform Browser Automation with plan english instructions.Integrating AI Agents into existing Automation FrameworksModule 3. AI powered Testing toolsOverview of the popular AI powered tools which are built in combination of (AI Agents + Gen AI) with Live demo on how these work to maximize QA ProductivityBelow are the vast In Detail topics we will be covering as part of our Generative AI Testing Module 1 examples :Creating test plans and requirements through AI.Generating unit, integration, and functional test cases with AI.Producing test data relevant to different tests.Providing suggestions on distributing tests throughout the testing lifecycle.Developing automation scripts for test cases.Crafting custom utility code methods to automate functionalities.Configuring framework-related files using AI.Creating Cucumber feature files and step definitions with real code via AI.Generating UI tests using libraries like Selenium, Cypress, and Playwright.Parsing complex JSON responses with simple AI prompts.Generating JSON paths using plain English.Creating POJO classes for complex JSON files with AI prompts.Developing Rest Assured automation tests using contract documentation as input.Generating custom utility code methods on-the-fly to validate API responses.Producing AI tests using libraries like Rest Assured, Cypress, and Playwright.Formulating SQL queries from complex database tables using simple AI prompts.We utilize Google GEMINI (AI) to demonstrate topics.And this is not the end! We are continuously monitoring AI evolution and updating the course accordingly to meet testing needs.

Overview

Section 1: Introduction to AI Testing terminologies

Lecture 1 Introduction to AI Terminologies & Course Agenda - 1

Lecture 2 Course Agenda Continued.. - Part 2

Lecture 3 Privacy & Security of AI Applications- How companies are evolving to adapt

Section 2: Prompt Engineering - Understand 3 C's - Context, Constraints, Clarity

Lecture 4 Important Note

Lecture 5 Why Prompt Engineering matters? - Mastering it is an Art.

Lecture 6 Adding Constraints to leverage Zero shot prompting for better AI results

Lecture 7 Practice scenarios for crafting prompts better & Few shot prompting technique

Lecture 8 Chain of thought prompting - Let AI detail us on how it is thinking

Section 3: Understand Tokens & Generate Test Plan, Test Cases, Test Strategy using AI

Lecture 9 What are tokens? Why it matters when interacting with AI Models

Lecture 10 Understand how Context Window Limit works - Tips to save tokens

Lecture 11 Generating Test Plan for the Project business requirements using AI

Lecture 12 Generating Test Cases for the requirements using AI

Lecture 13 Generating Test Strategy (Shift Left Testing) with the given Test cases using AI

Lecture 14 Generate Test Data combinations for the given tests using AI

Section 4: Effortlessly Generate Automation Code for Selenium, Playwright, Cypress using AI

Lecture 15 Generate Cucumber Gherkin, Step Definitions for Testcases using AI

Lecture 16 Generating Custom code utils in Playwright/Cypress/Selenium using AI

Lecture 17 Optimizing the given code with specific code standards using AI

Lecture 18 Selecting right AI tool if you are not satisfied with your answers

Section 5: GitHub Copilot extension for Fixing Code issues - Tips & Tricks

Lecture 19 How this section covers AI plugins in multiple languages & editors

Lecture 20 Copilot - AI Buddy to help coding inside VS code editor for Playwright/Cypress

Lecture 21 GenAI Github copilot plugin for Selenium Java Frameworks within Intellij Editor

Section 6: Introduction to AI Powered exclusive Testing tools - Low Code Automation

Lecture 22 Understanding the capabilities of AI powered Testing tools

Lecture 23 Introduction to TestRigor AI tool and its features on creating Tests using AI

Lecture 24 Generating Automatic Test cases on fly with the english requirements

Lecture 25 Understanding Scripting language of Test Rigor with a demo test

Lecture 26 Self Healing capabilities to fix tests using AI powered testing tools

Section 7: Build Automation AI Agents with Model Context Protocol (MCP) Servers

Lecture 27 What is MCP? How this MCP help an LLM to be super powerful

Lecture 28 Resources to download

Lecture 29 Build Agent which automates web browser using Playwright/Selenium MCP Servers

Lecture 30 Debugging steps when there are failures in configuring MCP servers

Lecture 31 Build Agent which can extract data from SQL database by framing complex queries

Lecture 32 Build Agent which can perform API Testing & talk to local File systems for data

Lecture 33 Build Agent which can read/write to excel file for any given scenario

Lecture 34 Setting up Playwright MCP configuration with in VS Code

Lecture 35 On single Prompt, create Test Automation Project and build test with locators

Lecture 36 Github MCP Server - Magic of commiting files and Code push to Git with Prompts

Section 8: Connect the dots of Sub Agents, Multi Agent collaboration, Agentic AI Solutions

Lecture 37 Create Custom chatmodes (Sub Agents) with in Github Copilot Agent mode

Lecture 38 Advantages of Multi Specialized Agents than Single Agent holding multiple roles

Lecture 39 What are Agentic AI Solutions? How different they are from AI Agents

Section 9: Effortlessly Generate Test Automation Code for API Testing

Lecture 40 Using Generative AI for API Testing- parsing Json responses

Lecture 41 Generating POJO classes for complex Json and generate Java methods using AI

Lecture 42 Generating API tests in Cypress & Playwright with the given API contract

Lecture 43 Generating complex SQL Queries for Datbase tables using AI

Section 10: Integrate AI agent into existing Test Automation Frameworks - Playwright Example

Lecture 44 Important Note

Lecture 45 What exactly Integrate AI into Test Framework means? Understand

Lecture 46 Setup Playwright Project and integrate AI dependencies for Hybrid Test case

Lecture 47 Real time Example on AI Integration with in existing Playwright Test - 1

Lecture 48 Real time Example on AI Integration with in existing Playwright Test - 2

Lecture 49 Code download

Section 11: AI power at Terminal to work on the Automation Frameworks - Claude code

Lecture 50 What is Claude Code, Gemini CLI, warp Terminal - How to use them for our needs

Lecture 51 Integrate claude code to terminal and use it to ask anything about your project

Lecture 52 Brief overview on MCP & integration of MCP to claude code for browser automation

Lecture 53 Demo of test automation with manual steps as input to claude code & Selenium MCP

Section 12: Privacy first, offline LLM Models to effortlessly handle your Project Domain

Lecture 54 Introduction to GPT4All - and how it works offline to generate results

Lecture 55 Setup Custom LLM with local project documents to get Domain related answers

Section 13: Final words - Future of AI in QA Space

Lecture 56 How AI can be your best buddy for coding practice and implementation

Lecture 57 Future proof your QA-AI Skills - What next?

Lecture 58 Bonus Lecture

Software Testers,Quality Assurance Engineers,Developers,Business Analysts,Freshers,Product owners,Scrum Masters