BSI has developed a 2-hour course that explores the importance and impact of implementing robust deep learning systems. We deep dive into the core of the ISO/IEC 24029-1:2021 standard, exploring all its technical parts and actionable contents.
This course aims to give you knowledge of the main technical concepts of ISO/IEC 24029-1:2021, by explaining the different methods—including statistical, formal, and empirical approaches—through which robustness can be assessed, as well as advanced techniques like data perturbation and abstract interpretation.
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
Please Note
- The course features interactive elements, knowledge checks, and comprehension tests. While we provide an estimated duration on the website, the actual completion time may vary based on your progress.
- You'll have access to this course lasting 90 days from activation, allowing you to revisit and review materials whenever and wherever it suits your schedule.
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 will I gain?
On completion, you’ll be awarded an internationally recognized BSI training course certificate.
Prior knowledge and learning
The course assumes that delegates know the basic concepts of AI understand what a neural network is.
We recommend attending the: How to assess robustness of neural networks awareness on-demand training course
Enrollment and Access
- Once you've completed your registration and payment, you'll receive a system-generated activation email with password set up instructions.
- The course content can be accessed and reviewed multiple times within 90 days of receiving the activation email.
- For course-related questions or technical issues, please contact:
- Ms. Maggie Chiang: +886 2 26560333 ext. 139
- Ms. Winnie Tsai: +886 2 26560333 ext. 145
, or email us at Maggie.chiang@bsigroup.com / Winnie.tsai@bsigroup.com
- BSI reserves the right to make final interpretations of course-related policies.
- To learn more about our On-Demand Courses, please visit our website.
