Artificial Intelligence in Software and Testing Teams: Code Review, Documentation, Testing
This course empowers software and testing teams to use artificial intelligence beyond code generation, in review, analysis, documentation, and testing processes.
Intermediate4 Hours
Live-Zoom
Certified
About the Course
AI For Software And Testing Teams
Intermediate4 HoursHands-OnTool-Based
An intermediate, 4-hour course enabling software and QA teams to apply AI beyond code generation across code review, analysis, documentation, and testing to raise technical quality and scale productivity.
Category
IT Professionals, Software Teams, QA Teams, AI Teams
Curriculum
Hands-On, Tool-Based Learning
Learning Outcomes
- Accelerate code review processes using AI to reduce development cycle time
- Automate technical documentation creation to improve knowledge sharing and maintainability
- Enhance software quality by generating comprehensive edge case and regression test scenarios
- Quickly understand and analyze existing codebases
- Develop versatile AI usage skills for both software development and testing teams
Who Should Attend?
- IT Professionals
- Software Teams
- QA Teams
- AI Teams
Prerequisites
- Basic interest in the field
- Computer and internet access
Go Beyond Code Generation
Apply AI to review, analysis, documentation, and testing to boost quality and team productivity.
Course Content
AI in Software Development and Testing
AI in SDLCCode review and qualityDocumentation automationTest generation and QA
Learn how AI augments software development and testing workflows, from code review and technical analysis to documentation and test generation, culminating in a hands-on lab.
Tools
- Microsoft 365 Copilot
- Cursor
- Claude Code
- GitHub Copilot
- CodeRabbit
- Katalon
1 Module 1 Introduction to AI in Software and Testing Processes
- Role of AI across development and testing workflows
- Value creation in code review, analysis, documentation, and testing
- Overview of tools and integration points
Duration: 35 minutes
2 Module 2 AI-Powered Code Review and Quality Analysis
- Use AI for defect detection and code quality checks
- Generate improvement recommendations
- Set up fast, systematic review workflows
- Prioritize issues and track outcomes
Duration: 45 minutes
3 Module 3 Understanding Existing Codebases and Technical Analysis
- Analyze and summarize legacy or large codebases
- Identify impact areas and dependencies
- Accelerate onboarding to complex systems
Duration: 40 minutes
4 Module 4 Generating Technical Documentation with AI
- Create README files and API documentation
- Produce code annotations and comments
- Enforce consistency and documentation standards
- Enhance knowledge sharing practices
Duration: 40 minutes
5 Module 5 Test Scenario and Test Case Generation
- Systematically generate edge cases
- Create regression and acceptance test cases
- Expand test coverage with AI assistance
- Organize and maintain test suites
Duration: 40 minutes
6 Module 6 Enhancing and Automating QA Processes with AI
- Improve testing workflows and defect reporting
- Expand and measure test coverage
- Integrate AI across dev and QA collaboration
- Establish feedback loops between teams
Duration: 40 minutes
L1 Hands-on / Lab Applied AI for Code and Testing
- Analyze an existing code block with AI to detect issues and generate improvement recommendations
- Create a set of test scenarios and technical documentation for a feature or endpoint
