AI+ Quality Assurance Practitioner™

Ártól 200 000 Ft + Áfa
Önálló online Azonnal kezdhető
Időtartam 40 óra tananyag, önálló tempóban
Nyelv angol
Előfeltétel Programming Skills, Basics of QA, Foundational knowledge of machine learning concepts
Terület AI Data & Robotics

Kinek szól
Mit tartalmaz az ár
Tematika
A vizsgáról

Áttekintés

Miről szól a képzés

A kurzus, a tananyag és a vizsga angol nyelvű. Az alábbi leírás az AI CERTs® eredeti szövege.

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

Előfeltételek

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

Célcsoport

Kinek szól

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.

Az árban

Mit tartalmaz az ár

Önálló tempójú online kurzus, a teljes tananyaggal
A hivatalos AI CERTs® vizsga
Digitális badge a sikeres vizsga után

Tananyag

Tematika

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

Vizsga

A vizsgáról

50 Kérdés
90 perc Időkeret
70% Ponthatár

Online proctored exam

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