How to assess robustness of neural networks awareness on-demand training course

レベル入門・基本所要時間 0.5 時間

申込受付中: オンデマンド研修 ¥19250 税込/人 Book your place

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
- This is an online, eLearning course.
- You’ll have access to the course for 12 months.
On completion, you'll be awarded an internationally recognized BSI Training Academy certificate.

For information on the process after applying for on-demand training, how to take the training, etc., please refer to Accessing BSI E-learning Courses.
Course Duration Hours
- 30 Min.
Payment

Invoice(Bank Transfer)

We will send you an invoice (PDF) by e-mail within 5 business days after your application. Please make payment by bank transfer by the due date as indicated on the invoice.

Credit Card

We will send you a paid invoice (PDF) by e-mail approximately 5 business days after your application. Discounts other than promotional codes are not eligible for card payment.

Cancellation Policy

In the event of cancellation after registration, a cancellation fee of 100% of the full amount of the course fee will be charged.

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How to assess robustness of neural networks awareness on-demand training course