Course Information
Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
4 Hour(s) 7 Minute(s)
Language
English
Taught by
ArkaTalent Tech
Rating
1 views
Course Overview
Master the ISTQB CT-AI Certification with expert preparation and confidence-boosting mock tests!
This comprehensive course is aligned with the ISTQB syllabus for AI Testing certification, providing you with the foundational knowledge and practical skills required to achieve ISTQB Certified Tester status in AI Testing. Designed to ensure international consistency, the syllabus offers a structured approach to learning AI-based system testing, focusing on the unique challenges posed by artificial intelligence and machine learning technologies.
The course content is tailored to cover the key concepts, terminology, and best practices in AI testing, with detailed instructional objectives and hands-on learning outcomes for each knowledge area. Participants will gain insights into how AI systems function, the intricacies of machine learning models, and effective testing techniques to ensure quality, performance, and reliability in AI-driven systems.
Please note: This course is specifically designed to help learners pass the ISTQB AI Tester certification exam, focusing on theoretical concepts. It includes quizzes that are aligned with the content to check your understanding and enhance your learning, giving you the confidence of a thorough grasp of the material.
For those seeking more practical applications of AI in testing, we recommend exploring our other courses with hands-on exercises
This structured format ensures a deep dive into both theoretical concepts and practical applications of AI testing. Each chapter builds progressively to provide a holistic understanding of AI systems, their quality attributes, and the most effective testing methodologies.
What You'll Learn:
The basic concepts of AI and machine learning, with a special focus on testing techniques.
How to evaluate data quality, functional performance, and neural network behavior.
Practical approaches to testing AI-specific quality characteristics like bias, transparency, and robustness.
Advanced techniques and tools for creating effective test environments for AI systems.
Leveraging AI technologies for enhancing traditional testing processes, including defect analysis and regression suite optimization.
By the end of this course, you’ll have the skills and knowledge required to confidently tackle AI system testing challenges and earn your ISTQB Certified Tester certification in AI Testing.
Course Content
- 10 section(s)
- 56 lecture(s)
- Section 1 Overview
- Section 2 Module 1 : Introduction to AI
- Section 3 Module 2 : Quality Characteristics for AI-Based Systems
- Section 4 Module 3 : Machine Learning - Overview
- Section 5 Module 4 : Machine Learning (ML) – Data
- Section 6 Module 5 : ML Functional Performance Metrics
- Section 7 Module 6 : ML - Neural Networks and Testing
- Section 8 Module 7 : Testing AI based systems - Overview
- Section 9 Module 8: Testing AI-Specific Quality Characteristics
- Section 10 Module 9 : Methods and Techniques for the Testing of AI-Based Systems
What You’ll Learn
- Stay Ahead of AI Trends: Discover how AI advancements are reshaping testing, and equip yourself to work with cutting-edge tools and methodologies.
- Build & Test with Confidence: Gain hands-on experience with machine learning models, learning how to test effectively to boost quality and performance.
- Master AI Testing Challenges:Learn strategies for managing AI's unique challenges like bias, ethics & non-determinism,to ensure trustworthy & transparent system
- Enhance Testing with AI Tools: Explore how AI can automate and optimize software testing, creating faster and smarter workflows for your team.
Skills covered in this course
Reviews
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PPaulson Grigarichan
Good so far
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CChristopher T. Rosenbaum
It's a solid lesson so far, but some of the lectures need to be re-ordered, especially given the content of the quizzes. Some of the quiz answers require information that's available in later lessons. I could have used information on what the F1 score was and its relevance to AI testing in one quiz, for example, but the info was discussed later.
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JJulie Morris
Presenter has a cold and is struggling with some words and is coughing. It makes it hard to listen to and I have to re-listen to bits to find out what was said.
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TTinus Schutte
Feels rushed through, no proper explanations or examples. I ended up muting the videos and just reading it myself.
