AI+ Quality Assurance Practitioner™ eLearning

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

Duur: 5 dag(en)

  • 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.

  • Unlock Advanced QA Skills with AI:

    Integrate AI and machine learning into testing to automate tasks, predict defects, and optimize performance.

  • Enhance Testing Efficiency and Accuracy:

    Use AI tools to speed up defect detection, improve software quality, and reduce manual errors.

  • Stay Ahead in a Competitive Market:

    Equip yourself with in-demand AI skills to meet industry standards and stand out in software testing.

  • Future-Proof Your Career:

    Master AI technologies like NLP and defect prediction, positioning yourself for future growth in QA.

  • Real-World Application and Hands-On Experience:

    Gain practical experience in AI techniques, preparing you to tackle complex QA challenges and improve software quality.

Inhoud

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
Tools you will explore
  • TensorFlow
  • SHAP (SHapley Additive exPlanations)
  • Amazon S3
  • AWS SageMaker

Lesmethode

Instructor-led OR Self-paced course + Official exam + Digital badge

Kenmerken

Online proctored exam included, with one free retake.
Exam format:

50 questions, 70% passing, 90 minutes, online proctored exam

Access to all materials and exams is provided for 365 days after delivery.

Voorkennis

  • Programming Skills, Basics of QA, Foundational knowledge of machine learning concepts

AI+ Quality Assurance Practitioner™ eLearning

€ 510,00 excl. BTW

Artikelnummer: AT-920-E Categorie: Tags: , , ,