Overview
Harness the Power of Gen AI for Manual Testing, RAG, Playwright AI, TestRigor, Add Intelligence to Test Code via APIs
Syllabus
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- 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
Taught by
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On-Demand
