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    • AI+ Quality Assurance™

    • Gain hands-on experience with AI-powered testing tools and techniques.
    • Streamline defect detection and performance testing using intelligent automation.
    • Accelerate your QA career with our comprehensive, industry-aligned exam bundle.
    Enroll Now Enquire Now
    AI+ Quality Assurance™
    Price: USD $450.00

    At a Glance: Course + Exam Overview

    Category AI Data & Robotics
    AI Technical
    Program Name AI+ Quality Assurance™
    Duration
    • Instructor-Led: 5 Days
    • Self-Paced: 40 hours of content
    Prerequisites
      • Programming Skills: Basic knowledge of Python and familiarity with Software Testing. 
      • Basics of Quality Assurance (QA): Foundational knowledge of QA principles and practices. 
      • Basics of AI: A basic understanding of machine learning concepts is beneficial but not mandatory. 
    Exam Format 50 questions, 70% passing, 90 Minutes

    What You'll Learn

    • QA Fundamentals
      Understand the core principles of Quality Assurance (QA), including testing methodologies, tools, and processes to ensure software quality.
    • Manual Testing
      Master manual testing techniques, including test case creation, test execution, and defect reporting to ensure software functionality meets requirements.
    • Automation Testing
      Learn automation testing using popular tools like Selenium, Appium, and TestNG, and understand how automation enhances testing efficiency and accuracy.
    • Performance Testing
      Gain expertise in performance testing tools like JMeter and LoadRunner, and learn how to evaluate software performance under different conditions.

    Certification Modules

    Module 1: Introduction to Quality Assurance and AI

    1. 1.1 Introduction to Quality Assurance (QA) and AI 
    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

    Finish the course and get certified

    Certificate 1

    Industry Opportunities

    • AI Quality Assurance Engineer:
      AI Quality Assurance Engineer:
      Manage AI-based automation strategies to improve testing accuracy and scalability.
    • QA Automation Lead:
      QA Automation Lead:
      Manage AI-based automation strategies to improve testing accuracy and scalability.
    • NLP QA Specialist:
      NLP QA Specialist:
      Use NLP for bug triaging, test case generation, and team communication in QA.
    • Test Automation Engineer:
      Test Automation Engineer:
      Implement AI-driven test cases and integrate AI tools into CI/CD pipelines to streamline testing.
    • Defect Prediction Specialist:
      Defect Prediction Specialist:
      Apply AI and machine learning to predict and prevent defects, ensuring smoother development cycles.

    Frequently Asked Questions

    Yes, the course is suitable for individuals who are new to QA, as it starts with the basics and gradually builds up to more advanced concepts like AI integration into testing.

    Yes, the course covers industry-standard AI tools and platforms used for test automation, defect prediction, performance testing, and more, ensuring you stay up to date

    Upon completion, you will have a portfolio of hands-on projects, including the capstone project, which showcases your ability to apply AI in QA, making you highly competitive

    Yes, the course includes case studies and hands-on activities involving cloud applications, helping you leverage AI for performance and scalability testing

    You’ll work on projects that include defect prediction, automation of regression tests, performance testing in cloud environments, and applying AI for security testing

    Prerequisites

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    Exam Details

    Duration

    90 Minutes

    Passing Score

    70%

    Format

    50 multiple-choice/multiple-response questions

    Exam Blueprint

    Introduction to Quality Assurance and AI 10%
    Fundamentals of AI, ML, and Deep Learning 15%
    Test Automation with AI 15%
    AI for Defect Prediction and Prevention 15%
    NLP for QA 10%
    AI for Performance Testing 10%
    AI in Exploratory and Security Testing 10%
    Continuous Testing with AI 5%
    Advanced QA Techniques with AI 5%
    Capstone Project 5%
    Course Price: USD $450.00
    Self-Paced Online
    • ~40 hours of on-demand video lessons, e-book, podcasts, and interactive labs
    • Learn anywhere, anytime, with modular quizzes to track progress

     

    Purchase Self-Paced Course
    Instructor-Led (Live Virtual/Classroom)
    • 5 days of intensive training with live demos
    • Real-time Q&A, peer collaboration, and hands-on labs
    • Led by AI Certified Trainers and delivered through Authorized Training Partners