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.
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 is included?
This is an online, interactive eLearning course, You’ll have access to the course for 12 months.
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
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
