AI+ Quality Assurance™

Master AI-Driven Quality Assurance: Elevate Your Testing Efficiency, Accuracy, and Scalability
  • 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

Módulos

  • Module 1: Introduction to Quality Assurance (QA) and AI:
    1. 1.1 Overview of QA
    2. 1.2 Introduction to AI in QA
    3. 1.3 QA Metrics and KPIs
    4. 1.4 Use of Data in QA
  • Module 2: Fundamentals of AI, ML, and Deep Learning :
    1. 2.1 AI Fundamentals
    2. 2.2 Machine Learning Basics
    3. 2.3 Deep Learning Overview
    4. 2.4 Introduction to Large Language Models (LLMs)
  • Module 3: Test Automation with AI :
    1. 3.1 Test Automation Basics
    2. 3.2 AI-Driven Test Case Generation
    3. 3.3 Tools for AI Test Automation
    4. 3.4 Integration into CI/CD Pipelines
  • Module 4: AI for Defect Prediction and Prevention :
    1. 4.1 Defect Prediction Techniques
    2. 4.2 Preventive QA Practices
    3. 4.3 AI for Risk-Based Testing
    4. 4.4 Case Study: Defect Reduction with AI
  • Module 5: NLP for QA :
    1. 5.1 Basics of NLP
    2. 5.2 NLP in QA
    3. 5.3 LLMs for QA
    4. 5.4 Case Study: Using NLP for Bug Triaging
  • Module 6: AI for Performance Testing :
    1. 6.1 Performance Testing Basics
    2. 6.2 AI in Performance Testing
    3. 6.3 Visualization of Performance Metrics
    4. 6.4 Case Study: AI in Performance Testing of a Cloud App
  • Module 7: AI in Exploratory and Security Testing :
    1. 7.1 Exploratory Testing with AI
    2. 7.2 AI in Security Testing
    3. 7.3 Case Study: Enhancing Security Testing with AI
  • Module 8: Continuous Testing with AI :
    1. 8.1 Continuous Testing Overview
    2. 8.2 AI for Regression Testing
    3. 8.3 Use-Case: Risk-Based Continuous Testing
  • Module 9: Advanced QA Techniques with AI :
    1. 9.1 AI for Predictive Analytics in QA
    2. 9.2 AI for Edge Cases
    3. 9.3 Future Trends in AI + QA
  • Module 10: Capstone Project :

Herramientas de IA

  • TensorFlow
  • SHAP (SHapley Additive exPlanations)
  • Amazon S3
  • AWS SageMaker
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