AI+ Quality Assurance

The AI+ Quality Assurance™ certification program is designed for software testers, quality engineers, and IT professionals seeking to integrate artificial intelligence into software testing and QA workflows. The curriculum covers how AI, machine learning, and NLP can be practically applied in automated testing, test data generation, test scripting, defect prediction, and quality analysis from foundation to advanced levels. You will learn industry best practices and tool-based implementations to enhance software quality and efficiency through intelligent QA processes.

Upon successful completion, participants will be proficient in applying AI-driven techniques to quality assurance — including automated test case and script generation, intelligent test data creation, defect detection, and QA workflow optimization. You will gain the ability to design, implement, and evaluate AI-enhanced QA strategies that improve speed, accuracy, and reliability. This certification boosts your credentials and demonstrates capability at the intersection of AI and software quality.

Prerequisites

• Basic understanding of software testing principles and QA processes

• Familiarity with programming concepts and test automation

• Interest in leveraging AI/ML tools in quality assurance settings

• Willingness to engage in hands-on activities integrating AI with QA tools

Exams

• Number of Questions: 50

• Passing Score: 35/50 or 70%

• Duration: 90 minutes

• Format: Online via AI Proctoring platform

• Question Type: Multiple Choice / Multiple Response

Exam Overview:

• Introduction to AI in Quality Assurance – 10%

• AI Tools & Techniques for Test Automation – 15%

• AI-Based Test Data Generation & Optimization – 10%

• Defect Prediction & Intelligent Test Planning – 15%

• Natural Language Processing in QA – 15%

• Automated Test Script Synthesis & Evaluation – 25%

• QA Workflow Enhancement & Future Trends – 10%