Who should consider getting certified with AI CERTs®?

Working professionals, entrepreneurs, students, startup founders, and more should consider getting certified with AI CERTs®, offering industry recognized in-demand AI and Blockchain certifications, to enhance their expertise and career prospects in these cutting-edge fields.

What is the difference between certificates and certifications?

Certificates demonstrate completion of a specific course or training, focusing on acquiring particular knowledge or skills. Certifications, on the other hand, validate expertise and competence in a field through standardized exams and ongoing requirements, ensuring sustained proficiency.

What are the benefits of role-based certifications?

Role-based certifications provide targeted skills and knowledge, enhancing job performance and career advancement. They demonstrate expertise in specific areas, increase employability, and often lead to higher salaries and better job opportunities. The AI CERTs® website offers specialized role-based certifications in AI and blockchain, tailored for professionals seeking to advance their careers in these fields with in-demand programs.

Can I get an AI certification if I don’t have a technical background?

Yes, you can get an AI certification without a technical background. AI CERTs® offers programs designed for individuals with non-technical as well as technical backgrounds, individuals, making AI knowledge accessible to everyone.

What kind of support is available during the course?

The AI CERTs® website offers extensive support for learners, including access to expert educators, business coaches, and advisors. Additionally, learners benefit from detailed guidance through certifications tailored for AI and blockchain specializations, ensuring comprehensive learning and professional development.

How are the exams conducted?

The AI CERTs® exams are conducted online and are designed to validate the candidate's knowledge in AI and Blockchain domains. Exams include multiple-choice questions, case studies, and practical exercises, ensuring a comprehensive assessment of skills.

Are these certifications globally recognized?

Yes, AI CERTs® certifications are globally recognized. They are designed by the industry and subject matter experts and offer comprehensive knowledge on AI and blockchain specializations, covering the industry demands. For detailed information, visit AI CERTs® Store

Are there any group discounts or corporate training options available?

For group discounts or corporate training, you can reach out to us through support@aicerts.ai for detailed information.

What is our certification development process?

Our certification development process involves rigorous industry analysis, curriculum design by subject matter experts, pilot testing, and continuous updates based on feedback and emerging trends to ensure relevance and effectiveness.

Who is involved in the certification development process?

The certification development process involves a team of experts, including educators from leading universities, business coaches, AI subject matter experts, certification strategists, and senior directors of learning and development

How up to date is the course content?

The course content on AI CERTs® is designed to be up-to-date, reflecting the latest advancements and best practices in AI and blockchain technologies. The certifications offered are continuously updated to ensure relevance in the rapidly evolving tech landscape.

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.

Enroll Now

Download Program Guide

Overview
Opportunities
Course Modules
Tools
Prerequisites
Exam Details
Mode of learning
Testimonials
FAQs

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.

At a Glance: Course + Exam Overview

Program Name

AI+ Quality Assurance™

Included

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

Duration

Instructor-Led: 5 day (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

Delivery

Online labs, projects, case studies

Outcome

Industry-recognized credential + hands-on experience

Who Should Enroll?

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.

Job Roles & Industry Outlook

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.

Industry Growth: Quality Transformation: 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).
The shift to continuous delivery is fueling AI-driven testing for faster, higher-quality releases.
AI-powered defect prediction and risk-based testing are becoming standard, improving accuracy and reducing manual work.
Advancing AI technologies are driving the demand for AI-based test automation, enhancing software delivery speed and quality.
Companies are investing heavily in AI-driven QA tools to innovate, reduce costs, and ensure superior software quality.

Skills You’ll Gain

CI/CD Integration
AI-Powered Predictive Analytics
Edge AI in Testing
Quantum Computing for Testing
AI for Autonomous Testing

What You'll Learn

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

Tools You’ll Master

TensorFlow

SHAP (SHapley Additive exPlanations)

Amazon S3

AWS SageMaker

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

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 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%

Choose the Format That Fits Your Schedule

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

High-Quality Videos, E-book (PDF & Audio), and Podcasts
AI Mentor for Personalized Guidance
Quizzes, Assessments, and Course Resources
Online Proctored Exam with One Free Retake
Comprehensive Exam Study Guide

Instructor-Led (Live Virtual/Classroom)

5 days of intensive training with live demos
Real-time Q&A, peer collaboration, and hands-on labs
Led by AI Certified Trainers and delivered through Authorized Training Partners

Purchase Instructor-Led Course

Self-Paced Online

~40 hours of on-demand video lessons, e-book, podcasts, and interactive labs
Learn anywhere, anytime, with modular quizzes to track progress

Purchase Self-Paced Course

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™

Why This Certification Matters

At a Glance: Course + Exam Overview