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AI+ Quality Assurance Practitioner™

Name: AI+ Quality Assurance Practitioner™
Brand: Learning People
Price: 149.00 GBP
Availability: InStock

The AI+ Quality Assurance Practitioner™ self-paced learning course by AI CERTs® is a specialised certification program designed to equip QA engineers, software testers, test architects, and DevOps leads with practical skills to integrate artificial intelligence into test automation, predictive defect analysis, NLP-driven requirement validation, continuous performance and security testing, and AI-driven quality governance in modern software development workflows.

Course Overview

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

Certification overview:

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

Certificate Duration:

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

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

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

Why this certification matters:

Unlock Advanced QA Skills with AI: Integrate AI and machine learning into testing to automate tasks, predict defects, and optimise 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 Master

TensorFlow

SHAP (SHapley Additive exPlanations)

Amazon S3

AWS SageMaker

Certification Modules

Module 1: Introduction to Quality Assurance (QA) and AI

1.1 Overview of QA

1.2 Introduction to AI in QA

1.3 QA Metrics and KPIs

1.4 Use of Data in QA

Module 2: Fundamentals of AI, ML, and Deep Learning

2.1 AI Fundamentals

2.2 Machine Learning Basics

2.3 Deep Learning Overview

2.4 Introduction to Large Language Models (LLMs)

Module 3: Test Automation with AI

3.1 Test Automation Basics

3.2 AI-Driven Test Case Generation

3.3 Tools for AI Test Automation

3.4 Integration into CI/CD Pipelines

Module 4: AI for Defect Prediction and Prevention

4.1 Defect Prediction Techniques

4.2 Preventive QA Practices

4.3 AI for Risk-Based Testing

4.4 Case Study: Defect Reduction with AI

Module 5: NLP for QA

5.1 Basics of NLP

5.2 NLP in QA

5.3 LLMs for QA

5.4 Case Study: Using NLP for Bug Triaging

Module 6: AI for Performance Testing

6.1 Performance Testing Basics

6.2 AI in Performance Testing

6.3 Visualisation of Performance Metrics

6.4 Case Study: AI in Performance Testing of a Cloud App

Module 7: AI in Exploratory and Security Testing

7.1 Exploratory Testing with AI

7.2 AI in Security Testing

7.3 Case Study: Enhancing Security Testing with AI

Module 8: Continuous Testing with AI

8.1 Continuous Testing Overview

8.2 AI for Regression Testing

8.3 Use-Case: Risk-Based Continuous Testing

Module 9: Advanced QA Techniques with AI

9.1 AI for Predictive Analytics in QA

9.2 AI for Edge Cases

9.3 Future Trends in AI + QA

Module 10: Capstone Project

Frequently Asked Questions

What core industry problems does the AI+ Quality Assurance™ Self Paced Learning training solve?

This course is engineered to help you solve real-world operational inefficiencies by integrating advanced machine learning tools into your daily workflow. You will learn to automate tedious data processing, construct predictive models, and optimize systemic outputs specific to this domain. By learning these practical automation skills, you immediately boost your daily professional output and elevate your long-term career value.

Are the tools and software platforms taught in this course accessible to beginners?

The curriculum is structured logically to support clean career progression, moving from essential concepts to advanced configurations. While technical tracks introduce deeper code integrations, our industry-specific modules utilize user-friendly enterprise interfaces and pre-trained prompt systems. This balanced approach ensures you can comfortably master the curriculum, acquire highly sought-after skills, and earn your digital record badge without frustration.

How will completing this self-paced course help upgrade my professional CV?

Completing this training demonstrates to modern employers that you possess practical, forward-looking expertise in artificial intelligence integration. Your profile will stand out with specialized technical capabilities, showing you can actively deploy automation, reduce operational costs, and manage digital workflows. This enables you to confidently pursue high-tier promotions, transition into modern tech roles, and take your career to the absolute next level.