Overview
Generate Manual Test Cases and Selenium Scripts in automated manner using Generative AI on local system
Syllabus
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- Introduction to Generative AI in QA
-- Overview of AI and its relevance to QA
-- Key concepts in Generative AI
-- Differentiating traditional AI from Generative AI
- Fundamentals of Generative AI
-- Introduction to machine learning and deep learning
-- Understanding neural networks and model training
-- Common Generative AI models: GPT, Variational Autoencoders (VAEs), GANs
- Applications of Generative AI in QA
-- Generating test data: Techniques and tools
-- Automating test case generation
-- Enhancing test coverage with AI-generated scenarios
- Implementing AI Tools in QA Workflows
-- Integration of AI tools in existing testing frameworks
-- Case studies of AI in QA automation
-- Evaluating and selecting AI tools for specific testing needs
- Practical Labs and Exercises
-- Hands-on lab: Building a simple Generative AI model
-- Exercise: Generating and validating synthetic test data
-- Workshop: Designing an AI-enhanced testing workflow
- Best Practices and Ethical Considerations
-- Ensuring data privacy and compliance in AI applications
-- Addressing biases in Generative AI models
-- Keeping up with the evolving landscape of AI in QA
- Advanced Topics and Future Trends in AI for QA
-- Exploring current research and innovations in Generative AI
-- Predictive testing and risk-based testing with AI
-- The future of autonomous testing environments
- Conclusion and Course Wrap-Up
-- Recap of key learnings
-- Q&A session
-- Resources for continued learning and development
Taught by
Tags
On-Demand
