
Explore how generative AI uses large language models to generate software code and manual test cases, and learn tokenization, data sources, and free tier access.
learn to run old lama locally offline on macOS by downloading a model via the command line, then generate selenium code in Java for Amazon.com with a page object model.
Generate manual test data with Gen AI using prompts to cover login and create new employee pages, including validation messages and number field checks like salary and duration.
Generate BDD scenarios in Gherkin format using ChatGPT, create feature and scenario outputs for manual and automated testing, and visualize with mind maps or Mermaid drawings for automation teams.
Generate automated UI tests with ChatGPT in Selenium and page object model using Java and TestNG, including page source scraping, locators, page objects, and refactoring to a custom employee type.
Explore how generative AI explains and documents test code, refactors automation scripts, and assists data driven testing with data providers and Selenium examples.
Explore gen ai based development tools like GitHub Copilot and Tabnine that write, explain, refactor, and generate unit tests within the IDE, enabling secure, enterprise-ready coding for automated testing.
Explore how generative AI enhances software automation testing with Playwright and ChatGPT, generating page object model code, UI tests, and assertions, plus tools like zero step and auto playwright.
Explore how generative AI enables automated complex workflows in Playwright using a zero step approach and natural language prompts to replace locators, test edits in tables, and verify outcomes.
Explore how auto playwright adds AI to Playwright tests, install via npm, set OpenAI API key, and compare free auto playwright with zero step, noting speed, caveats, and costs.
Explore automating a flight reservation on Cleartrip with test trigger, turning manual test steps into automated flows using AI and ML, via reference locators and date picker interactions.
Learn to automate web tests with test trigger's Chrome extensions for record and playback, using AI-generated plain-English steps without writing code.
Learn to perform api testing with test trigger, issuing get and post requests, saving responses to variables, and verifying results with json paths on a fake json server.
Leverage postman's post bot AI feature to automatically write and run tests for API requests, generate test scripts from Swagger schemas, and leverage ChatGPT and AI tools.
Leverage generative AI through OpenAI API to generate and validate page object model code for UI automation testing in dotnet, analyzing locators for page changes and ensuring test reliability.
Welcome to “Using Generative AI in Software Automation Testing!”
This course is crafted for anyone, whether you’re new to Software Testing or an experienced professional, to unlock the full potential of Generative AI and transform your testing process into something faster, smarter, and more efficient.
You’ll journey through a spectrum of topics, from the basics to advanced, real-world applications that you can immediately put into practice at work.
Here’s what you’ll master:
• Introduction to Generative AI: Understand the foundations of Gen AI and its role in Software Testing.
• Running Large Language Models (LLMs) Locally: Learn how to run models on your machine without paying for external services.
• Manual Testing with Gen AI: Generate manual test cases, test data, test requirement with grounded Models with the power of AI and RAG.
• Automated UI Testing: Leverage AI to write, refactor, and optimize automated tests for UI applications.
• Playwright UI Testing: Use Playwright and AI-driven tools to create smart test scripts and handle complex workflows.
• No-code Automation with TestRigor: Create powerful automation suites in plain English, even automating SMS, phone calls, and intricate tables.
• API Testing: Harness PostBots and Gen AI to streamline API testing.
• Using Gen AI APIs to Add Intelligence with Self-healing locators to Test Automation: Harness the power of OpenAI APIs to add Intelligence to your Test Automation code.
• Using Model Context Protocol: Leverage the power of Model Context Protocol (MCP) to run Playwright test for UI and APIs.
By the end of this course, you’ll have a deep understanding of how Generative AI can supercharge your testing process. With hands-on experience, you’ll be able to use AI-enhanced tools and LLMs to simplify complex testing tasks and make your work smoother and more efficient.