Courses AI certifications (AI CERTs®)

AI+ Quality Assurance Practitioner™

  • Price 279 EUR + VAT
  • E-learning Start any time
  • Duration 40 hours of content, self-paced
  • Language English
  • Prerequisite Programming Skills, Basics of QA, Foundational knowledge of machine learning concepts
  • Topic AI Data & Robotics

How you can take it

  • E-learning Start any time · 279 EUR + VAT Order
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Overview

What the course covers

The course, the materials and the exam are in English. The description below is the original AI CERTs® text.

  • 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

Prerequisites

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

Audience

Who is it for

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.

In the price

What the price includes

  • Self-paced online course with the full learning material
  • The official AI CERTs® exam
  • Digital badge after passing the exam

Course content

Syllabus

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

Exam

About the exam

  • 50 Questions
  • 90 min Time limit
  • 70% Pass mark
  • Online proctored exam

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Any of our courses can be delivered as private, in-company training, tailored to your organisation, in English or Hungarian.

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