2025 - Using Generative AI in Software Automation Testing

Overview

Harness the Power of Gen AI for Manual Testing, RAG, Playwright AI, TestRigor, Add Intelligence to Test Code via APIs What you'll learn:

Understand the basics of Generative AI and its real world use casesUnderstand different LLMs available in the marketUsing Local LLMs to harness in power within local machine with Llama 3.x ModelsUsing Gen AI in Automation and Manual Software TestingUsing Gen AI related tools in Software Testing like TestRigor, ZeroStep, Playwright etcUsing Gen AI APIs to extend automation testing capabilities with Intelligent Test execution 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 AIAPIs to Add Intelligence with Self-healing locators to Test Automation:

Harness the power of OpenAIAPIs 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 UIand 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.

Syllabus

• Introduction to Generative AI in Testing
Overview of Generative AI
Applications in Software Testing
• Fundamentals of Software Automation Testing
Key Concepts and Tools
Types of Software Testing
• Generative AI Models and Techniques
Understanding AI Models: GPT, BERT, etc.
Natural Language Processing (NLP) in Testing
• Implementing Generative AI in Test Automation
AI-driven Test Case Generation
Intelligent Test Data Generation
• Testing Frameworks Enhanced by AI
Integration with Popular Automation Frameworks (e.g., Selenium, Appium)
Building AI-augmented Testing Pipelines
• Machine Learning for Test Optimization
Anomaly Detection and Predictive Testing
Using AI for Test Maintenance and Refactoring
• Best Practices and Ethical Considerations
Ensuring Reliability and Accuracy
Addressing Bias in AI Models
• Hands-on Lab Sessions
Setting Up AI Tools for Automation
Creating AI-enhanced Test Scripts
• Case Studies in AI-enhanced Testing
Real-world Examples and Lessons Learned
Industry Trends and Future Directions
• Course Conclusion and Future Outlook
Recap of Key Learnings
Opportunities for Further Exploration in AI and Testing
• Project and Assessment
Practical Project: Implementing Generative AI in a Test Scenario
Final Assessment and Feedback Sessions

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Taught by

Karthik KK

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Subjects

Programming