Generative AI for Python Automation Testing
This course is designed for QA engineers, test automation developers, and software testers who want to leverage Generative AI for enhanced test case generation, automation scripting, debugging, and test optimization.
- Course fee
- Contact us
- Duration
- 5 days
- Group rate
- Ask an advisor
Course overview
This course is designed for QA engineers, test automation developers, and software testers who want to leverage Generative AI for enhanced test case generation, automation scripting, debugging, and test optimization.
Participants will explore:
AI-powered test case generation and automation
Using AI to improve Selenium, Py-Test, and Robot Framework scripts
Automating test data generation and edge case handling
AI-driven defect analysis and debugging assistance
Enhancing CI/CD pipelines with AI-powered testing
By the end of the course, testers will be able to use Generative AI to enhance automation testing workflows, improve test efficiency, and detect defects faster.
Training methodology
This course follows a hands-on, practical approach, including:
Instructor-led sessions & real-world case studies
Hands-on coding exercises with AI-powered test automation
Live demonstrations of AI-enhanced testing workflows
Scenario-based problem-solving & debugging exercises
Capstone project: AI-powered automated testing framework
Prerequisites
- Basic Python programming knowledge
- Familiarity with test automation tools (Selenium, PyTest, etc.)
- Understanding of testing methodologies and frameworks
Target competencies
- By the end of the course, participants will:
- Use AI for automated test case generation and script optimization
- Leverage Generative AI for debugging and defect analysis
- Automate test data creation with AI-based techniques
- Integrate AI-powered automation testing into CI/CD pipelines
- Improve test coverage, efficiency, and accuracy using AI
Course objectives
Upon completing the course, participants will:
- Develop AI-driven test case generation strategies
- Use Generative AI for improving automation scripts in Python
- Enhance debugging and defect detection with AI tools
- Integrate AI-powered testing into DevOps workflows
- Ensure comprehensive test coverage with AI-enhanced automation
Course outline
- Overview of Generative AI and its impact on test automation
- Understanding AI models like GPT, LLa-MA, and Code-Gen for testing
- Exploring AI-powered testing tools and frameworks
- Case studies of AI-driven test automation in real-world applications
- Automating test case creation using Generative AI
- Enhancing unit, integration, and end-to-end test scenarios with AI
- AI-based boundary value analysis and edge case generation
- Hands-on: Generating test cases using AI models
- Using AI to generate, optimize, and debug test scripts
- AI-enhanced Selenium, Py-Test, and Robot Framework automation
- Generative AI-powered test script conversion and refactoring
- Hands-on: Automating script generation with AI tools
- AI-driven synthetic test data generation
- Enhancing data-driven testing using AI-generated datasets
- AI-powered data anonymization and privacy-aware testing
- Hands-on: Using AI tools for automated test data generation
- AI-powered error detection and automated debugging
- Using AI to analyze test logs and suggest fixes
- AI-driven root cause analysis for test failures
- Hands-on: Using AI to debug automation scripts
- AI-based test maintenance and flakiness detection
- Enhancing performance testing with AI-driven analysis
- AI-powered test prioritization and parallel execution
- Hands-on: Using AI for test maintenance and performance monitoring
- AI-powered security testing for vulnerability detection
- Automating API testing with AI-enhanced test generation
- AI-driven fuzz testing and penetration testing automation
- Hands-on: Automating API security testing using AI
- AI-driven test execution optimization in CI/CD pipelines
- AI-powered automated build validation and deployment testing
- Enhancing DevOps workflows with AI in Jenkins, GitHub Actions, etc.
- Hands-on: Integrating AI-based testing in CI/CD workflows
- AI-powered test reporting and intelligent analytics
- Automating bug tracking and defect categorization with AI
- AI-driven dashboard insights for QA teams
- Hands-on: Using AI to generate test reports and failure analysis
- Final project: Developing an AI-driven test automation strategy
- Peer review and expert feedback on AI testing implementation
- Course recap & final Q&A session
- Certification and next steps for AI in test automation
Morning and evening classes are available. CompuBase Training Center, Abu Dhabi.
