Opleiding: AI+ Quality Assurance Practitioner™ eLearning

Formerly known as 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

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.

• 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

• 2.1 AI Fundamentals
• 2.2 Machine Learning Basics
• 2.3 Deep Learning Overview
• 2.4 Introduction to Large Language Models (LLMs)

• 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

• 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

• 5.1 Basics of NLP
• 5.2 NLP in QA
• 5.3 LLMs for QA
• 5.4 Case Study: Using NLP for Bug Triaging

• 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

• 7.1 Exploratory Testing with AI
• 7.2 AI in Security Testing
• 7.3 Case Study: Enhancing Security Testing with AI

• 8.1 Continuous Testing Overview
• 8.2 AI for Regression Testing
• 8.3 Use-Case: Risk-Based Continuous Testing

• 9.1 AI for Predictive Analytics in QA
• 9.2 AI for Edge Cases
• 9.3 Future Trends in AI + QA

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

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.

De OCICT maatwerk-methode houdt in dat op basis van de behoefte van de klant - en indien nodig na een intakegesprek - een individueel opleidingstraject wordt opgesteld. De trainingen worden veelal individueel gevolgd, zodat iedere training een maatwerktraject is. Klassikale trainingen zijn natuurlijk mogelijk, mits ze aansluiten bij de leerbehoeften van de deelnemers / opdrachtgever.

Alle onderdelen van de training kennen een voortdurende wisselwerking tussen theorie en praktijk. De inhoud van de training kan vooraf per cursist worden aangepast en tijdens de cursus worden bijgesteld. De focus ligt op maatwerk: het traject wordt afgestemd op de doelstellingen van de deelnemer(s) en/of opdrachtgever, ongeacht of het individueel of klassikaal wordt aangeboden.