ISTQB Certified Tester AI Testing Explained

In our first episode of the explainer video series on ISTQB Certified Tester AI Testing, we review Chapter 1 and:
?give the definition of AI and explain what the AI effect is;
?explain the difference between narrow, general and super AI;
?talk about the range of AI technologies and much more.

In our second episode of the explainer video series on ISTQB Certified Tester AI Testing, we review Chapter 2 and:
✏️go over the basic requirements for AI, such as autonomy and ethics;
✏️learn what explainable AI is;
✏️talk about the difference between flexibility and adaptability and much more.

In Chapter 3, we will:
?go over the Machine Learning (ML) workflow,
?talk about selecting the appropriate ML approach,
?and discuss overfitting and underfitting.

In Chapter 4, we will: 
✏️ talk about data preparation steps,
✏️ learn the difference between training, validation and test datasets,
✏️ and discuss the importance of data quality.

In Chapter 5, we will:
?go over ML Functional Performance Metrics selection process, as well as
?other numerous metrics for various types of ML problems.