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.
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
Who should attend?
- AI Managers
- Data Governance Managers
- 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:
- 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
What is included?
On completion, you'll be awarded an internationally recognized BSI Training Academy certificate.
Contact us
If you have any enquiries, let us know how can we help you.
Call: +91 80815 80815
Email us: info.in@bsigroup.com
Notes:
This is an online, interactive eLearning course, You’ll have access to the course for 12 months.
Please Note: This training fee is applicable only for residents of India and the Indian subcontinent.
