AI+ Quality Assurance™ - eLearning (exam included)
448,00 EUR
- 40 hours
The AI+ Quality Assurance certification equips you with the skills and knowledge to incorporate AI into QA practices, boosting innovation and testing efficiency. Throughout the program, you will explore how AI transforms traditional QA processes, including test planning, execution, defect prediction, and performance testing. You’ll build a solid foundation in AI, machine learning, deep learning, and natural language processing, learning to apply these technologies across various QA scenarios. Hands-on exercises and real-world case studies will help you develop practical skills in automating test cases, predicting defects, and leveraging AI-powered QA techniques.
Key Features
Language
Course and material in English
Level
Intermediate level (Category: AI+ Technical)
1 year platform access
and Virtual Hands-on Lab included
40 hours of video lessons & multimedia
50 hours of study time recommendation
Material
Video, PDF Material, audio eBook, Podcasts, quizzes and assessments.
Exam
Online Proctored Exam with One Free Retake
Certificate
Certification of completion included. Valid for 1 year
Tools You’ll Master
TensorFlow, SHAP, Amazon S3, AWS SageMaker
About the course
AI-Powered Quality Assurance:
- Enhance testing efficiency, accuracy, and scalability using AI-driven methods.
- Hands-On Practice: Gain practical experience with advanced AI testing tools and techniques.
- Intelligent Automation: Optimize defect detection and performance testing through smart automation.
- Career Advancement: Boost your QA expertise with a complete, industry-focused exam preparation bundle.
Participants will also engage in exercises demonstrating how AI can optimize QA workflows, improve decision-making, and enhance overall testing efficiency. The certification includes a capstone project where you will design and implement an AI-driven QA solution, applying the knowledge gained throughout the course. By completion, you will be prepared to integrate AI into QA processes, increasing both testing speed and accuracy while boosting organizational performance.
Why This Certification Matters
Use AI to predict project risks aLeverage AI and machine learning to automate testing, predict defects, and enhance performancend adjust
Learning Outcomes
At the end of this course, you will be able to:
QA Fundamentals
Learn essential QA principles, testing methodologies, tools, and processes to maintain software quality.
Manual Testing
Develop skills in creating and executing test cases, and reporting defects to verify software meets requirements.
Automation Testing
Gain proficiency with automation tools such as Selenium, Appium, and TestNG, improving testing speed and accuracy.
Performance Testing
Master tools like JMeter and LoadRunner to assess software performance under various conditions.
Course timeline
Introduction to Quality Assurance and AI
Lesson 1
- 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
Fundamentals of AI, ML, and Deep Learning
Lesson 2
- 2.1 AI Fundamentals
- 2.2 Machine Learning Basics
- 2.3 Deep Learning Overview
- 2.4 Introduction to Large Language Models (LLMs)
Test Automation with AI
Lesson 3
- 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
AI for Defect Prediction and Prevention
Lesson 4
- 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
NLP for QA
Lesson 5
- 5.1 Basics of NLP
- 5.2 NLP in QA
- 5.3 LLMs for QA
- 5.4 Case Study: Using NLP for Bug Triaging
AI for Performance Testing
Lesson 6
- 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
AI in Exploratory and Security Testing
Lesson 7
- 7.1 Exploratory Testing with AI
- 7.2 AI in Security Testing
- 7.3 Case Study: Enhancing Security Testing with AI
Continuous Testing with AI
Lesson 8
- 8.1 Continuous Testing Overview
- 8.2 AI for Regression Testing
- 8.3 Use-Case: Risk-Based Continuous Testing
Advanced QA Techniques with AI
Lesson 9
- 9.1 AI for Predictive Analytics in QA
- 9.2 AI for Edge Cases
- 9.3 Future Trends in AI + QA
Capstone Project
Lesson 10
Who Should Enroll in this Program?
QA Professionals: Aiming to upgrade testing strategies using AI-powered tools and methods.
Software Testers: Looking to enhance defect detection and automate testing workflows.
Developers: Interested in incorporating AI into the software development process for improved testing efficiency.
Data Scientists: Wanting to apply AI and machine learning techniques to software quality assurance.
Tech Managers: Seeking to stay current with industry trends and lead teams in AI-driven QA practices.
Industry Growth
Driving Data-Driven Innovation Across Sectors
- Market Growth: The global AI-enabled testing market is projected to grow from USD 856.7 million in 2024 to USD 3,824.0 million by 2032, at a CAGR of 20.9% (Source: Fortune Business Insights).
- Continuous Delivery: Adoption of continuous delivery is driving AI-driven testing for faster, higher-quality software releases.
- AI-Powered Testing: Defect prediction and risk-based testing are becoming standard, improving accuracy and reducing manual effort.
- Automation Demand: Advancing AI technologies are increasing the need for AI-based test automation, enhancing software delivery speed and quality.
- Organizational Investment: Companies are heavily investing in AI-driven QA tools to innovate, cut costs, and ensure superior software performance.
More Details
Prerequisites
- Programming Skills: Basic Python knowledge and some experience with software testing.
- Quality Assurance Fundamentals: Understanding of core QA principles and practices.
- AI Basics: Familiarity with machine learning concepts is helpful but not required.
Exam Details
- Duration: 90 minutes
- Passing :70% (35/50)
- Format: 50 multiple-choice/multiple-response questions
- Delivery Method: Online via proctored exam platform (flexible scheduling)
- Language: English
Licensing and accreditation
This course is offered by AVC according to Partner Program Agreement and complies with the License Agreement requirements.
Equity Policy
AVC does not provide accommodations due to a disability or medical condition of any students. Candidates are encouraged to reach out to AVC for guidance and support throughout the accommodation process.
Frequently Asked Questions
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