• 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

Module 1: Introduction to Quality Assurance (QA) and AI

1. 1.1 Overview of QA
2. 1.2 Introduction to AI in QA
3. 1.3 QA Metrics and KPIs
4. 1.4 Use of Data in QA

Module 2: Fundamentals of AI, ML, and Deep Learning

1. 2.1 AI Fundamentals
2. 2.2 Machine Learning Basics
3. 2.3 Deep Learning Overview
4. 2.4 Introduction to Large Language Models (LLMs)

Module 3: Test Automation with AI

1. 3.1 Test Automation Basics
2. 3.2 AI-Driven Test Case Generation
3. 3.3 Tools for AI Test Automation
4. 3.4 Integration into CI/CD Pipelines

Module 4: AI for Defect Prediction and Prevention

1. 4.1 Defect Prediction Techniques
2. 4.2 Preventive QA Practices
3. 4.3 AI for Risk-Based Testing
4. 4.4 Case Study: Defect Reduction with AI

Module 5: NLP for QA

1. 5.1 Basics of NLP
2. 5.2 NLP in QA
3. 5.3 LLMs for QA
4. 5.4 Case Study: Using NLP for Bug Triaging

Module 6: AI for Performance Testing

1. 6.1 Performance Testing Basics
2. 6.2 AI in Performance Testing
3. 6.3 Visualization of Performance Metrics
4. 6.4 Case Study: AI in Performance Testing of a Cloud App

Module 7: AI in Exploratory and Security Testing

1. 7.1 Exploratory Testing with AI
2. 7.2 AI in Security Testing
3. 7.3 Case Study: Enhancing Security Testing with AI

Module 8: Continuous Testing with AI

1. 8.1 Continuous Testing Overview
2. 8.2 AI for Regression Testing
3. 8.3 Use-Case: Risk-Based Continuous Testing

Module 9: Advanced QA Techniques with AI

1. 9.1 AI for Predictive Analytics in QA
2. 9.2 AI for Edge Cases
3. 9.3 Future Trends in AI + QA

Module 10: Capstone Project

AI Quality Assurance Engineer

Manage AI-based automation strategies to improve testing accuracy and scalability.

NLP QA Specialist

Use NLP for bug triaging, test case generation, and team communication in QA.

Test Automation Engineer

Implement AI-driven test cases and integrate AI tools into CI/CD pipelines to streamline testing.

Defect Prediction Specialist

Apply AI and machine learning to predict and prevent defects, ensuring smoother development cycles.