• AI Certifications

AI+ Quality Assurance Practitioner™

This globally recognised AI+ Quality Assurance™ Certification by AI CERTs® equips professionals to apply artificial intelligence in software testing, quality assurance, and validation. Delivered by Synergogy, the Authorised Training Partner (ATP) of AI Certs, this AI Certs certification builds expertise in AI in quality assurance, AI test automation, and AI defect prediction, enabling you to begin your journey into AI-driven QA and intelligent quality engineering.

AI+ Quality Assurance Practitioner™
Enroll Now - $396
AI Certification Course - Synergogy

AI+ Quality Assurance Practitioner™

Synergogy, the Authorised Training Partner (ATP) of AI Certs, brings you this globally recognised AI+ Quality Assurance™ Certification by AI CERTs®. The programme equips professionals with the essential knowledge to apply AI in quality assurance across software testing and validation — enabling them to begin their journey into AI-driven QA, AI test automation, and intelligent quality engineering.

  • Format: Self paced online course.
  • Level: Gain hands-on experience with AI-powered testing tools and techniques
  • Certificate: 𝗔𝗜+ 𝗤𝘂𝗮𝗹𝗶𝘁𝘆 𝗔𝘀𝘀𝘂𝗿𝗮𝗻𝗰𝗲 𝗣𝗿𝗮𝗰𝘁𝗶𝘁𝗶𝗼𝗻𝗲𝗿™by AI Certs®.
  • Partner: Delivered by Synergogy as an ATP for AI Certs.
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Enroll Now - $396
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AI Certs - AI Course Free Offer Bundle - Synergogy

AI+ Quality Assurance Practitioner™

This course includes

  • Online Self-Paced Learning
  • Online Proctored Exam with 1 Free Retake
  • Digital Badge
  • High-Quality Videos, E-books, and Podcasts
  • Access for Tablet & Phone
  • Capstone Projects
  • Case Studies
  • Quizzes & Assessments
  • AI Mentor for Personalized Guidance
 

Why This Certification Matters

Artificial intelligence is transforming how software is tested, validated, and released. Yet most QA teams lack structured training in AI in quality assurance. This certification bridges that gap by helping you:

  • Build AI-Driven QA Expertise — Apply AI and machine learning to automate testing workflows, anticipate defects, and improve system performance.
  • Improve Testing Speed and Reliability — Use AI test automation to accelerate defect identification, enhance accuracy, and reduce error-prone manual testing.
  • Stay Competitive in Modern Testing — Develop in-demand AI-enabled QA skills aligned with evolving industry standards.
  • Prepare for the Future of Quality Engineering — Gain hands-on experience with NLP, AI defect prediction, and predictive analysis.
  • Solve Real QA Challenges — Build practical expertise through real-world applications of AI in quality assurance.
 
 
 
Who Should Enroll?
  • Quality Assurance Professionals — Strengthen testing methodologies by adopting AI test automation and intelligent quality engineering.
  • Software Testing Specialists — Enhance defect detection and automate workflows using AI-driven techniques.
  • Software Developers — Embed AI into the development lifecycle to improve test coverage, efficiency, and product quality.
  • Data Scientists and AI Practitioners — Apply ML to AI defect prediction and test optimisation.
  • Technology and QA Managers — Lead teams in adopting AI-enhanced QA strategies with this AI Certs certification.
Tools Covered
  • TensorFlow
  • SHAP (SHapley Additive exPlanations)
  • Amazon S3
  • AWS SageMaker
Prerequisites
  • Programming Skills: Basic knowledge of Python and familiarity with software testing lifecycle and tools.
  • Basics of QA: Basic knowledge of Quality Assurance principles and practices.
  •  
  • Basics of AI: Foundational knowledge of machine learning concepts is beneficial but not mandatory.
 
Exam Details
  • 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%
  •  
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What You'll Learn

1: Introduction to Quality Assurance (QA) and AI

  • Core principles of Quality Assurance and testing methodologies

  • Evolution of QA in modern software development

  • How AI transforms traditional QA processes

  • QA metrics, KPIs, and data-driven quality measurement

2: Fundamentals of AI, Machine Learning, and Deep Learning

  • Foundations of artificial intelligence and intelligent systems

  • Supervised, unsupervised, and reinforcement learning

  • Deep learning and neural networks for QA use cases

  • Role of Large Language Models (LLMs) in quality engineering

3: AI-Driven Test Automation

  • Test automation fundamentals and frameworks

  • AI-powered test case generation and maintenance

  • Intelligent regression testing

  • Integrating AI-based testing into CI/CD pipelines

4: AI for Defect Prediction and Preventive QA

  • Machine learning techniques for defect prediction

  • Risk-based testing and prioritization using AI

  • Preventive QA strategies and early defect detection

  • Continuous monitoring and quality optimization

5: Natural Language Processing (NLP) for QA

  • NLP fundamentals for QA applications

  • Automated bug triaging and defect classification

  • Test scenario generation using NLP

  • Leveraging LLMs (e.g., GPT, BERT) for QA analysis and reporting

6: AI for Performance and Scalability Testing

  • Performance testing concepts and methodologies

  • AI-driven performance analytics and bottleneck detection

  • Predictive load testing and resource optimization

  • Visualization of performance metrics and dashboards

7: AI in Exploratory, Security, and Advanced Testing

  • AI-powered exploratory testing and edge-case discovery

  • Security testing using AI for vulnerability and threat detection

  • Adversarial testing and anomaly detection

  • Advanced QA techniques integrating emerging technologies

8: Continuous Testing and Capstone Project

  • Continuous testing in Agile and DevOps environments

  • AI-enabled regression and risk-based continuous testing

  • End-to-end AI-driven QA solution design

  • Capstone project applying AI to real-world QA challenges

Course Flyer
Enroll Now - $396

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AI+ Foundation™ Course in-house

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FAQs - AI+ Quality Assurance Practitioner™

  • What is the AI+ Quality Assurance Practitioner™ Certification?

    The𝗔𝗜+ 𝗤𝘂𝗮𝗹𝗶𝘁𝘆 𝗔𝘀𝘀𝘂𝗿𝗮𝗻𝗰𝗲 𝗣𝗿𝗮𝗰𝘁𝗶𝘁𝗶𝗼𝗻𝗲𝗿™ by AI CERTs® is a globally recognized program that trains professionals to apply artificial intelligence and machine learning techniques to software testing, quality assurance, and intelligent test automation.

  • Who should enroll in the AI+ Quality Assurance Practitioner™ course?

    This certification is ideal for QA professionals, software testers, developers, data scientists, QA managers, and technology leaders who want to enhance testing efficiency, accuracy, and software quality using AI-driven approaches.

  • What skills will I gain from the AI+ Quality Assurance (QA)™ Certification?

    Learners gain practical skills in AI-driven test automation, defect prediction, NLP-based test analysis, performance and security testing with AI, continuous testing in CI/CD pipelines, and intelligent quality engineering practices.

  • Are there any prerequisites for enrolling in the AI+ Quality Assurance (QA)™ Certification?

    No formal prerequisites are required. However, basic knowledge of software testing concepts, SDLC, or programming fundamentals can help learners better understand AI-powered QA techniques.

  • How does the AI+ Quality Assurance Practitioner™ support career growth?

    The certification validates in-demand AI-enabled QA skills, preparing professionals for roles such as AI QA Engineer, Test Automation Engineer, Quality Engineer, QA Lead, and QA Manager in modern software development environments.

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