Learn GenAI Tools & AI Agents for Software Testing

Course last Updated -August 2025 with topic : Claude Code - The Power of AI at terminal level

Eager 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 breakup

Module 1. Use of Generative AI for Testing

• How 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 productivity
• How 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 Technical

• Live demo of how AI Agents in Software Testing can effortlessly perform Browser Automation with plan english instructions.
• Integrating AI Agents into existing Automation Frameworks

Module 3. AI powered Testing tools

• Overview 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 Productivity

Below 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.

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