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

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

    Stufe Grundlagen Dauer 0,5 Stunde
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    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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