Next Generation QA: Testing Processes with Artificial Intelligence
This course is a hands-on program that enables QA and software testing professionals to integrate artificial intelligence into test planning, scenario generation, bug analysis, and automation processes.
Intermediate5 Hours
Live-Zoom
Certified
About the Course
AI for QA and Testing
Intermediate5 HoursAI in QA
Equip QA and test professionals to leverage AI in test planning, scenario generation, and defect analysis to reduce manual effort, improve coverage, and enhance software quality.
Category
QA Engineers, Manual Test Engineers, Test Automation Engineers, Software Developers, QA Leads, Test Managers
Curriculum
Hands-On, Tool-Based Learning
Learning Outcomes
- Accelerate test case and scenario creation with AI to shorten test cycles
- Improve software quality with comprehensive edge case and regression scenarios
- Reduce issue resolution time via AI-assisted log analysis and root cause identification
- Scale team capacity by generating automated test scripts
- Increase efficiency and sustainability by reducing manual testing workload
Who Should Attend?
- QA Engineers
- Manual Test Engineers
- Test Automation Engineers
- Software Developers
- QA Leads
- Test Managers
Prerequisites
- Basic interest in the field
- Computer and internet access
Hands-On, Tool-Based Learning
Apply AI to test planning, scenario generation, and defect analysis through practical, tool-driven work.
Course Content
AI in QA and Test Automation
6 modulesHands-on labAI-assisted testingTest automation focus
Learn how to apply AI across QA workflows—from strategy and test design to automation, analysis, and coverage optimization—supported by a practical hands-on lab.
Tools
- Microsoft 365 Copilot
- ChatGPT
- Katalon
- GitHub Copilot
- Selenium
- Testim AI
1 Module 1 Introduction to AI in QA Processes and Test Strategy
- Understand the role and applications of AI in software testing
- Develop AI-powered test strategies
- Create more comprehensive and efficient test plans
Duration: 45 minutes
2 Module 2 Test Case and Scenario Generation with AI
- Rapidly create structured, comprehensive test cases and scenarios
- Expand edge cases using AI
- Cover diverse usage scenarios with AI assistance
Duration: 60 minutes
3 Module 3 Automated Test Script Generation and Optimization
- Create automated test scripts with AI-powered tools
- Improve and refactor existing scripts
- Accelerate test automation processes
- Apply practical approaches to scale automation
Duration: 60 minutes
4 Module 4 Test Results, Log Analysis, and Root Cause Identification
- Analyze test outputs and log data
- Identify defects from test evidence
- Perform root cause analysis
- Speed up debugging and issue resolution using AI
Duration: 50 minutes
5 Module 5 Regression Testing and Test Coverage Optimization
- Expand regression testing scope
- Optimize test coverage
- Identify critical scenarios with AI-driven insights
- Improve overall testing efficiency
Duration: 45 minutes
6 Module 6 Automation and Efficiency in QA Processes
- Identify repetitive testing tasks
- Automate tasks for sustainable QA workflows
- Design end-to-end efficient testing processes
- Streamline QA operations with AI
Duration: 40 minutes
L1 Lab AI-Powered Scenario Generation and Root Cause Analysis
- Generate comprehensive test scenarios and an edge case list from a PRD or user story using AI
- Perform AI-assisted root cause analysis from logs and bug reports and generate automated test script recommendations
