What you'll learn:
- How to use AI Agents at any stage of the testing process
- AI agents that accelerate shift left
- Shift Left approach in software development
- Preventive actions in applying shift left
- Practical examples of shift left pipelines
- Advanced Quality Engineering
- The Testing Pyramid
- CHAT GPT - GENERATIVE AI Demo
- Proper test automation techniques
- Jmeter Pefromance CI/CD Pipeline with CHAT GPT
- Feature Branch Testing
- Shift Right | Testing in production
- GITHUB CI/CD Pipelines
- How to design TestOPS Actions
- Design preventive Code Quality Policies
- Design preventive Code Build Policies
- Speed and cost of Test Automation
- Short and Long lived Testing Environments
Course Title:
TestOPS Shift Left: Accelerating Quality and Efficiency for Quality Engineers
Course Objective:
Equip QE professionals with modern tools, techniques, and mindsets to integrate Shift Left principles, leveraging AI agents, browser automation, and AutoGen to optimize quality earlier in the software development lifecycle.
Core Focus Areas
Shift Left Fundamentals
Understand the importance of catching defects early
Reduce cost, rework, and deployment delays
Align QA with development from the beginning
Modern QE Best Practices
Enforce code quality with:
Code reviews and static analysis
Test-driven development (TDD)
Pull Request (PR) gates and automation triggers
Build maintainable, defect-resistant pipelines
AI Agents in Testing
Use AI agents to:
Analyze test coverage gaps
Suggest or auto-generate test cases
Predict risk areas based on code changes
Integrate with tools like Microsoft AutoGen to orchestrate agent workflows for test creation, bug triaging, and environment setup
Browser-Based Testing in Shift Left
Automate frontend workflows using tools like Playwright, Cypress, or Selenium
Run cross-browser tests as part of PR validation
Use headless browsers in CI/CD to improve speed and feedback
Automation Efficiency
Automate repetitive quality tasks like regression, integration, and smoke tests
Adopt pipeline-as-code for test orchestration
Choose the right toolchain for your team, such as GitHub Actions or Azure DevOps
Security and Prevention Techniques
Introduce early security practices:
Static Application Security Testing (SAST)
Threat modeling and secure code reviews
Integrate security checks into unit tests and CI pipelines
Expected Outcomes for QE Professionals
Design and lead Shift Left quality strategies across the development lifecycle
Collaborate with developers and AI agents to accelerate and scale test efforts
Implement AI-powered test generation and quality enforcement
Deliver secure, stable, and efficient software with confidence and speed
