AI+ Quality Assurance™

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

Certificate Code: AT- 920

About This Course

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

Certificate Overview

Included

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

Duration

Instructor-Led: 5 days (live or virtual)
Self-Paced: 40 hours of content

Prerequisites

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

Exam Format

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

Course Modules

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

Course