ACERT76-042_rev3.0: AI+ Quality Assurance, Self-Paced Learning V3 (Data and Robotics)

Duration: Self-Paced, 40 hours of content

The AI+ Quality Assurance certification provides you with the necessary skills and knowledge to integrate AI into QA practices, enhancing your ability to drive innovation and improve testing efficiency. Over the course of the certification, you will explore how AI transforms traditional QA processes, from test planning and execution to defect prediction and performance testing. You’ll gain a strong foundation in AI, machine learning, deep learning, and natural language processing, learning how to apply these technologies in various QA scenarios. With hands-on activities and real-world case studies, you will develop practical skills in automating test cases, using AI for defect prediction, and leveraging advanced QA techniques powered by AI.

Throughout the certification, you will engage in practical exercises that demonstrate how AI can optimize QA workflows, improve decision-making, and enhance overall testing efficiency. You will also work on a capstone project that allows you to apply the knowledge gained, designing and implementing an AI-driven QA solution. By the end of the certification, you will be equipped with the skills to integrate AI into QA processes, improving both the speed and accuracy of testing while optimizing organizational performance.

This certification will cover:

• Introduction to Quality Assurance (QA) and AI
• Fundamentals of AI, ML, and Deep Learning
• Test Automation with AI
• AI for Defect Prediction and Prevention
• NLP for QA
• AI for Performance Testing
• AI in Exploratory and Security Testing
• Continuous Testing with AI
• Advanced QA Techniques with AI
• Capstone Project

Please use the links below to download additional information about this course:

Executive Summary: ai-quality-assurance-executive-summary.pdf

Course Outline: ai-quality-assurance-course-outline.pdf

Exam Blueprint: ai-quality-assurance-blueprint.pdf