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AI+ Quality Assurance™

# AT- 920

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

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.

$20,999.00

High-Quality Video, E-book & Audiobook

Modules Quizzes

AI Mentor

Access for Tablet & Phone

Certificate of Completion

Hands-on Practices

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 Details

Exam Blueprint

Modules	Percentage
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

Self Study Materials Included

Videos

Engaging visual content to enhance understanding and learning experience.

Podcasts

Insightful audio sessions featuring expert discussions and real-world cases.

Audiobooks

Listen and learn anytime with convenient audio-based knowledge sharing.

E-Books

Comprehensive digital guides offering in-depth knowledge and learning support.

Hands-on

Practical experience through real-world exercises, case studies, and applied learning.

Module Wise Quizzes

Interactive assessments to reinforce learning and test conceptual clarity.

Additional Resources

Listen and learn anytime with convenient audio-based knowledge sharing.

Tools You'll Master

TensorFlow

SHAP (SHapley Additive exPlanations)

Amazon S3

AWS SageMaker

What Will You Learn?

Certification Modules

Module 1: Introduction to Quality Assurance and AI

1.1 Introduction to Quality Assurance (QA) and AI
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 Visualization 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

Earn a Shareable Certificate

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Industry Opportunities after Certification Completion

Median Salaries

Unknown

With AI+ Quality Assurance™

Unknown

% Difference

Unknown

AI Quality Assurance Engineer:

Manage AI-based automation strategies to improve testing accuracy and scalability.

QA Automation Lead:

Manage AI-based automation strategies to improve testing accuracy and scalability.

NLP QA Specialist:

Use NLP for bug triaging, test case generation, and team communication in QA.

Test Automation Engineer:

Implement AI-driven test cases and integrate AI tools into CI/CD pipelines to streamline testing.

Defect Prediction Specialist:

Apply AI and machine learning to predict and prevent defects, ensuring smoother development cycles.

Trusted Reviews by Our Learners

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Frequently Asked Questions

Can I take the course if I’m new to quality assurance?

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.

Will this course cover AI tools used in the industry?

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

How will I be able to demonstrate the skills I’ve learned in this course to employers?

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

Will the course prepare me for working with cloud-based testing environments?

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

What kind of real-world projects will I work on in this course?

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

AI+ Quality Assurance™

# AT- 920

Prerequisites

Exam Details

Exam Blueprint

Self Study Materials Included

Tools You'll Master

What Will You Learn?

Certification Modules

Earn a Shareable Certificate

Industry Opportunities after Certification Completion

Trusted Reviews by Our Learners

Recommended Certifications

AI+ Everyone™

AI+ Security Compliance™ Examination

AI+ Human Resources™

AI+ Design™

AI+ Writer™

AI+ Customer Service™

AI+ Product Manager™

AI+ Prompt Engineer Level 2™

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