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AI+ Quality Assurance

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

  • AI Testing Mastery: Gain hands-on experience with AI-powered testing tools and techniques

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  • Intelligent Automation Edge: Streamline defect detection and performance testing using intelligent automation

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  • QA Career Fast-Track: Accelerate your QA career with our comprehensive, industry-aligned exam bundle

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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.

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  • Enhance Testing Efficiency and Accuracy: Use AI tools to speed up defect detection, improve software quality, and reduce manual errors.

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  • Stay Ahead in a Competitive Market: Equip yourself with in-demand AI skills to meet industry standards and stand out in software testing.

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  • Future-Proof Your Career: Master AI technologies like NLP and defect prediction, positioning yourself for future growth in QA.

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  • Real-World Application and Hands-On Experience: Gain practical experience in AI techniques, preparing you to tackle complex QA challenges and improve software quality.

At a Glance: Course + Exam Overview

Program Name

Included

Duration

Prerequisites

Exam Format

Delivery

Outcome

AI+ Quality Assurance

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

  • Instructor-Led: 5 days (live or virtual)

  • Self-Paced: 40 hours of content

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

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

Online labs, projects, case studies

Industry-recognized credential + hands-on experience

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Who Should Enroll?

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

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

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

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

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

Job Roles & Industry Outlook 

Executive Leader

Oversee AI initiatives, align them with business objectives, and drive innovation across departments using AI technologies.

Chief Officer

Set AI strategy, direct implementation, and ensure alignment with business goals to enhance operations, products, and services.

Executive Director

Guide AI strategy, oversee implementation and foster collaboration across departments to support organizational goals.

Corporate Strategy Leader

Develop AI strategies aligned with corporate goals, identify AI integration opportunities and guide decision-making for businesses.

Industry Growth: Shaping the Future of Innovation in AI-Driven Testing and Assurance

  • The global AI-enabled testing market, valued at USD 856.7 million in 2024, is expected to grow to USD 3,824.0 million by 2032, with a CAGR of 20.9%. (Source: Fortune Business Insights)

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  • The shift to continuous delivery is fueling AI-driven testing for faster, higher-quality releases.

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  • AI-powered defect prediction and risk-based testing are becoming standard, improving accuracy and reducing manual work.

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  • Advancing AI technologies are driving the demand for AI-based test automation, enhancing software delivery speed and quality.

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  • Companies are investing heavily in AI-driven QA tools to innovate, reduce costs, and ensure superior software quality.

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What You'll Learn

Tools You'll Explore

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TensorFlow

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SHAP (SHapley Additive exPlanations)

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Amazon S3

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AWS SageMaker

Prerequisites

  • Programming Skills: Basic knowledge of Python and familiarity with software testing lifecycle and tools.

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  • Basics of QA: Basic knowledge of Quality Assurance principles and practices.

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  • Basics of AI: Foundational knowledge of machine learning concepts is beneficial but not mandatory.

Exam Details

Duration

90 minutes

Passing Score

70% (35/50)

Format

50 multiple-choice/multiple-response questions

Delivery Method

Online via proctored exam platform (flexible scheduling)

Exam Blueprint:

  • Introduction to Quality Assurance (QA) and AI - 7%

  • Fundamentals of AI, ML, and Deep Learning - 9%

  • Test Automation with AI - 9%

  • AI for Defect Prediction and Prevention - 9%

  • NLP for QA - 9%

  • AI for Performance Testing - 12%

  • AI in Exploratory and Security Testing - 12%

  • Continuous Testing with AI - 12%

  • Advanced QA Technique With AI - 12%

  • Capstone Project - 9%

Choose the Format That Fits Your Schedule

What’s Included (One-Year Subscription + All Updates):

  • High-Quality Videos, E-book (PDF & Audio), and Podcasts

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  • AI Mentor for Personalized Guidance

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  • Quizzes, Assessments, and Course Resources

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  • Online Proctored Exam with One Free Retake

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  • Comprehensive Exam Study Guide

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  • Access for Tablet & Phone

Instructor-Led (Live Virtual/Classroom)

  • 5 days of intensive training with live demos

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  • Real-time Q&A, peer collaboration, and hands-on labs

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  • Led by AI Certified Trainers and delivered through Authorized Training Partners

Self-Paced Online

  • ~40 hours of on-demand video lessons, e-book, podcasts, and interactive labs

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  • Learn anywhere, anytime, with modular quizzes to track progress

Frequently Asked Questions

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