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ISTQB AI Testing - Learn best practices and prepare for exam

Learners: 880

Instructor: STA consulting

Duration:

This course is perfect for anyone interested in learning the best practices for ISTQB AI Testing. It covers key concepts of Artificial Intelligence (AI), how to decide acceptance criteria, and how to test AI-based systems. Learners will gain hands-on experience in building and testing different types of machine learning systems. With this course, you will be well-prepared to take the ISTQB AI Testing exam.▼▲

Course Feature Course Overview Course Provider

Go to class

Course Feature

Cost:

Paid

Provider:

Udemy

Certificate:

Paid Certification

Language:

English

Start Date:

2023-02-02

Course Overview

❗The content presented here is sourced directly from Udemy platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.

Updated in [August 18th, 2023]

Skills and Knowledge:
This course provides learners with the skills and knowledge necessary to understand and test AI-based systems. Learners will gain an understanding of the key concepts of Artificial Intelligence (AI), how to decide acceptance criteria, and how to test AI-based systems. They will also learn about the range of types of AI-based systems in use today, how machine-learning (ML) is often a key part of these systems, and how to set acceptance criteria for AI-based systems. Additionally, learners will gain hands-on experience in building and testing different types of machine learning systems.
Professional Growth:
This course contributes to professional growth by providing learners with an introduction to ISTQB AI Testing. It covers key concepts of Artificial Intelligence (AI), how to decide acceptance criteria, and how to test AI-based systems. It also covers the range of types of AI-based systems in use today, how machine-learning (ML) is often a key part of these systems, and how to set acceptance criteria for AI-based systems. Additionally, the course provides hands-on exercises to give learners experience in building and testing different types of machine learning systems. This knowledge and experience can be applied to a variety of professional contexts, allowing learners to develop their skills and increase their value in the workplace.
Further Education:
This course provides a comprehensive introduction to ISTQB AI Testing and is suitable for preparing further education. It covers key concepts of Artificial Intelligence (AI), how to decide acceptance criteria, and how to test AI-based systems. It also covers the range of types of AI-based systems in use today, how machine-learning (ML) is often a key part of these systems, and how to set acceptance criteria for AI-based systems. Additionally, the course provides hands-on exercises to give learners experience in building and testing different types of machine learning systems. Therefore, this course is suitable for preparing further education.