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    AnnouncementNew self-paced courses now available — explore our AI Certs-powered certifications and start learning at your own pace.AnnouncementNew self-paced courses now available — explore our AI Certs-powered certifications and start learning at your own pace.AnnouncementNew self-paced courses now available — explore our AI Certs-powered certifications and start learning at your own pace.
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    AI CERTs®
    AT- 920

    AI+ Quality Assurance Practitioner™

    Formerly known as AI+ Quality Assurance™ Master AI-Driven Quality Assurance: Elevate Your Testing Efficiency, Accuracy, and Scalability

    ₹21,999

    Delivered by UpskillNexus, an AI CERTs® Authorized Training Partner.

    AI+ Quality Assurance Practitioner™ certification badge

    About this certification

    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

    What's included

    Package

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

    Duration

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

    Exam format

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

    Prerequisites

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

    Course modules

    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

    Why this certification matters

    Unlock Advanced QA Skills with AI:

    Integrate AI and machine learning into testing to automate tasks, predict defects, and optimize performance.

    Enhance Testing Efficiency and Accuracy:

    Use AI tools to speed up defect detection, improve software quality, and reduce manual errors.

    Stay Ahead in a Competitive Market:

    Equip yourself with in-demand AI skills to meet industry standards and stand out in software testing.

    Future-Proof Your Career:

    Master AI technologies like NLP and defect prediction, positioning yourself for future growth in QA.

    Real-World Application and Hands-On Experience:

    Gain practical experience in AI techniques, preparing you to tackle complex QA challenges and improve software quality.

    Who should enrol

    QA Professionals: Looking to enhance their testing strategies with AI-driven tools and techniques.

    Software Testers: Eager to improve defect detection and automate their testing processes.

    Developers: Interested in integrating AI into the software development lifecycle for better testing efficiency.

    Data Scientists: Wanting to apply AI and machine learning principles to software quality assurance.

    Tech Managers: Seeking to stay ahead of industry trends and lead teams in AI-enhanced QA practices.

    Tools you'll work with

    TensorFlowTensorFlow
    SHAP (SHapley Additive exPlanations)SHAP (SHapley Additive exPlanations)
    Amazon S3Amazon S3
    AWS SageMakerAWS SageMaker
    AI Data & Robotics
    AI Technical

    Interested in AI+ Quality Assurance Practitioner™?

    Tell us a little about yourself and our team will get back to you with pricing, schedule and next steps.