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AI+ Quality Assurance Practitioner™
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Course
AI Testing Mastery:
Gain hands-on experience with AI-powered testing tools and techniques
Intelligent Automation Edge:
Streamline defect detection and performance testing using intelligent automation
QA Career Fast-Track:
Accelerate your QA career with our comprehensive, industry-aligned exam bundle
AVALIABLE AT COMPUNET LIMITED
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Certificate Code
AT- 920
Exam Format
AI-Driven Remote Exam Proctoring
Course Overview
Important details and certification information
Instructor-led OR Self-paced course + Official exam + Digital badge
Instructor-Led: 3 Days (live or virtual)
Programming Skills, Basics of QA, Foundational knowledge of machine learning concepts
50 questions, 70% passing, 90 minutes, online proctored exam
Certification Modules
Module 1: Introduction to Quality Assurance (QA) and AI
1.1 Overview of QA
1.2 Introduction to AI in QA
1.3 QA Metrics and KPIs
1.4 Use of Data in QA
Module 2: Fundamentals of AI, ML, and Deep Learning
2.1 AI Fundamentals
2.2 Machine Learning Basics
2.3 Deep Learning Overview
2.4 Introduction to Large Language Models (LLMs)
Module 3: Test Automation with AI
3.1 Test Automation Basics
3.2 AI-Driven Test Case Generation
3.3 Tools for AI Test Automation
3.4 Integration into CI/CD Pipelines
Module 4: AI for Defect Prediction and Prevention
4.1 Defect Prediction Techniques
4.2 Preventive QA Practices
4.3 AI for Risk-Based Testing
4.4 Case Study: Defect Reduction with AI
Module 5: NLP for QA
5.1 Basics of NLP
5.2 NLP in QA
5.3 LLMs for QA
5.4 Case Study: Using NLP for Bug Triaging
Module 6: AI for Performance Testing
6.1 Performance Testing Basics
6.2 AI in Performance Testing
6.3 Visualization of Performance Metrics
6.4 Case Study: AI in Performance Testing of a Cloud App
Module 7: AI in Exploratory and Security Testing
7.1 Exploratory Testing with AI
7.2 AI in Security Testing
7.3 Case Study: Enhancing Security Testing with AI
Module 8: Continuous Testing with AI
8.1 Continuous Testing Overview
8.2 AI for Regression Testing
8.3 Use-Case: Risk-Based Continuous Testing
Module 9: Advanced QA Techniques with AI
9.1 AI for Predictive Analytics in QA
9.2 AI for Edge Cases
9.3 Future Trends in AI + QA
Module 10: Capstone Project
AI Tools Covered
TensorFlow
SHAP (SHapley Additive exPlanations)
Amazon S3
AWS SageMaker
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