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
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?
- นี่คือหลักสูตร eLearning
- ภาษาที่ใช้ในการอบรม : ภาษาอังกฤษ (English)
- ระยะเวลาในการเข้าถึงหลักสูตร : 12 เดือน
- ผู้เข้าอบรมจะได้รับใบประกาศนียบัตรรับรองของ BSI Training Academy หลังเสร็จสิ้นการฝึกอบรม
