AI+ Quality Assurance™

• Introduction to Quality Assurance (QA) and AI
• Introduction to AI in Quality Assurance
• QA metrics and KPIs
• Use of Data in Quality Assurance

• Fundamentals of AI
• Fundamentals of machine learning
• Overview of Deep Learning
• Introduction to large language models (LLMs)

• Fundamentals of test automation
• AI-driven test case generation
• Tools for AI test automation
• Integration into CI/CD pipelines

• Techniques for fault prediction
• Preventive quality assurance measures
• AI for risk-based testing
• Case study: Error reduction with AI

• Fundamentals of NLP
• NLP in quality assurance
• LLMs for quality assurance
• Case study: Using NLP for troubleshooting

• Fundamentals of performance testing
• AI in performance testing
• Visualization of performance indicators
• Case study: AI in performance testing of a cloud application

• Exploratory testing with AI
• AI in security testing
• Case study: Improving security testing with AI

• Overview of continuous testing
• AI for regression testing
• Use case: Risk-based continuous testing

• AI for predictive analytics in quality assurance
• AI for edge cases
• Future trends in AI + QA

• Final project

• An internationally certified course on modern quality assurance with AI—practical, online, and future-oriented.

• Yes, the program is designed to be beginner-friendly, with simple explanations, practical examples, and clear modules.

• It improves analytical skills, speeds up testing processes, strengthens understanding of AI tools, and prepares you for new roles in QA.

• Particularly relevant for QA analysts, test engineers, DevOps specialists, project managers, and anyone who wants to ensure quality based on data.

• Examples of tools: AI testing platforms, analysis tools such as TensorFlow and SHAP (SHapley Additive exPlanations), reporting frameworks, cloud and data infrastructures such as Amazon S3, ML platforms such as AWS SageMaker, and real-time risk assessment methods.

Yes, upon successful completion, you will receive an internationally recognized AI Certs® certificate – digital, validatable, and shareable.

• Focus on practical AI applications, flexible online modules, international recognition, and high-quality certification.

• Strengthens digital skills, increases visibility in the job market, and demonstrates expertise in modern, AI-supported quality assurance.