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AI+ Quality Assurance™

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  • AI+ Quality Assurance™
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  • Course level: Intermediate

About Course

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

Description

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

Course Modules

1

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
2

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)
3

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
4

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
5

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
6

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
7

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
8

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
9

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
10

Module 10: Capstone Project

AI Tools You’ll Learn

TensorFlow

TensorFlow

SHAP (SHapley Additive exPlanations)

SHAP (SHapley Additive exPlanations)

Amazon S3

Amazon S3

AWS SageMaker

AWS SageMaker

What Will I Learn?

  • Exam Format
  • 50 questions, 70% passing, 90 minutes, online proctored exam

About the instructor

M

Media

0 (0 ratings)

70 Courses

8 students

AIC_AI-Quality-Assurance
$99.00

Material Includes

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

Requirements

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

Target Audience

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