Assessing robustness of AI systems is a crucial part of their development and deployment. Here at BSI, we have developed a course that explores in depth the importance and impact of implementing robust deep learning systems, following the Standard ISO/IEC 24029-1:2021. We deep dive into the core of the standard, exploring all its technical parts and the corresponding actionable contents.
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:
- Build a toolset of methods that can help identifying robustness issues
- Understand the different types of data perturbations, and their use in the creation robustness test data sets
- Design workflows to detect and address robustness concerns
- Take steps to ensure that the assessment of robustness is part of the development and deployment of AI systems involving neural networks
Who should attend?
- Data Scientists
- Data Analysts
- Data Engineers
- Machine Learning Engineers
- AI architects
What will I learn?
Upon completion of this course, you will be able to:
- Apply the methods provided by the standard to detect robustness issues arising in the development and deployment of a deep learning system
- Describe the main principles behind data perturbation and abstract interpretation
- Construct protocols to assess robustness of a neural network
What is included?
- 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 Guide
Course Duration Hours
- 2 Hours 30Min.
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.
