AI+ Quality Assurance™

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

This program delivers AI testing mastery by providing hands-on experience with AI-powered testing tools and modern testing techniques. It develops an intelligent automation edge, enabling learners to streamline defect detection and performance testing through advanced automation strategies. Designed as a QA career fast-track, the course equips participants with a comprehensive, industry-aligned exam bundle to accelerate professional growth and strengthen career opportunities.

Enrollment Fee: 

MUR 15,145

Enroll Now
AI+ Quality Assurance™

What You'll Learn

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

Prerequisites

  • Programming Skills: Basic knowledge of Python and familiarity with software testing lifecycle and tools.

  • Basics of QA: Basic knowledge of Quality Assurance principles and practices.

  • Basics of AI: Foundational knowledge of machine learning concepts is beneficial but not mandatory.

     

Exam Details

Duration:

90 minutes

Passing Score:

70% (35/50)

Format:

50 multiple-choice/multiple-response questions

Delivery Method:

Online via proctored exam platform (flexible scheduling)

Unlock Self-Paced Online Learning

  • Unlock Self-Paced Online Learning
  • Access learning anytime, anywhere, with built-in quizzes to measure progress.
  • Enrollment Fee: MUR 15,145
Enroll Now