
#AT- 920
Master AI-Driven Quality Assurance: Elevate Your Testing Efficiency, Accuracy, and Scalability
AI Data & Robotics · AI Technical · All Courses · English
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Programming Skills, Basics of QA, Foundational knowledge of machine learning concepts
50 questions, 70% passing, 90 minutes, online proctored exam
Integrate AI and machine learning into testing to automate tasks, predict defects, and optimize performance.
Use AI tools to speed up defect detection, improve software quality, and reduce manual errors.
Equip yourself with in-demand AI skills to meet industry standards and stand out in software testing.
Master AI technologies like NLP and defect prediction, positioning yourself for future growth in QA.
Gain practical experience in AI techniques, preparing you to tackle complex QA challenges and improve software quality.
QA Professionals: Looking to enhance their testing strategies with AI-driven tools and techniques.
Software Testers: Eager to improve defect detection and automate their testing processes.
Developers: Interested in integrating AI into the software development lifecycle for better testing efficiency.
Data Scientists: Wanting to apply AI and machine learning principles to software quality assurance.
Tech Managers: Seeking to stay ahead of industry trends and lead teams in AI-enhanced QA practices.
TensorFlow
SHAP (SHapley Additive exPlanations)
Amazon S3
AWS SageMaker