Are your AI systems non-discriminatory, transparent, and resilient? This technical course goes beyond a general understanding of what is at stake and introduces the more practical methods for implementing trustworthy AI. Every developer working with AI needs these skills.
Advanced Trustworthy AI
Learn the principles, methods, and tools for implementing trustworthy AI in practice.
About the course
After the course you will be able to...
Apply detailed metrics and toolkits to measure bias and understand the appropriate mitigation techniques
Apply a set of explainable AI (XAI) methods using industry-standard libraries hands-on
Analyze AI-specific security and privacy risks and understand how to mitigate them
Course information
Level: Advanced
Certificate: Available for purchase upon completion
Length: Four-week program
Target audience: Software developers, data scientists, engineering leads
Created in partnership with Technical University of Delft, Erasmus University Rotterdam, University College Dublin University of Tartu
Advanced Trustworthy AI
Learn the principles, methods, and tools for implementing trustworthy AI in practice.
This course has been created with the SPATIAL project, brand name of an EU-funded project that tackles the identified gaps of data issues and black-box AI by designing and developing resilient accountable metrics, privacy-preserving methods, verification tools and system solutions that will serve as critical building blocks for trustworthy AI in ICT systems and cybersecurity.
