ISO/IEC 24029-1:2021 robustness of neural networks awareness - eLearning

ISO/IEC 24029-1:2021 How to assess robustness of neural networks awareness - eLearning

ISO/IEC 24029-1:2021 robustness of neural networks awareness - eLearning

Niveau Basiskennis Duur 30 minutes

Beschikbaar om te boeken: On-demand elearning €100 Check prices and book

Assessing robustness of AI systems is a crucial part of their development and deployment. Here at BSI, we have developed a short course that explores the main principles and the importance of implementing robust deep learning systems, as outlined in ISO/IEC 24029-1:2021.

On-demand - training that’s even more flexible

BSI’s on-demand courses are market-leading and available 24/7. Developed by top subject matter experts, they contain the same high-quality content you will find in our tutor-led training, but with the added benefit of being able to learn at your own pace and at any time.

How will I benefit?

This course will help you:

Gain awareness of the meaning of robustness in the context of AI systems, which is a key concept in the forthcoming EU AI regulation
Spot where and how robustness concerns may arise
Understand the different kinds of robustness issues that one can face in the development and deployment of deep learning systems

Upon completion of this course, you will be able to:
- Explain what robustness of an AI system is
- Recognize the different kinds of robustness issues that one can face in the development and deployment of deep learning systems
- AI Managers
- Data Governance Managers
- Data Scientists
- Data Analysts
- Data Engineers
- Machine Learning Engineers
- AI architects
- On completion, you'll be awarded an internationally recognized BSI Training Academy certificate

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