
Learn how to govern and secure Artificial Intelligence and Machine Learning systems

Learn how to govern and secure Artificial Intelligence and Machine Learning systems
Editorial course preview
These 4 complementary views highlight concrete, legible examples from the course presentation.
This course component slide introduces the key risks which AI and Machine Learning models introduce and how to address them.
This course component slide outlines how to create a governance framework in your organization to enable effective AI risk management.
This course component slide outlines the focus on cyber-security risks which AI systems introduce and how to address them.
This course component slide introduces Chapter 4, focusing on how to implement security controls at each phase of the Machine Learning lifecycle alongside a technical circuit board visual.





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The curriculum includes specific modules on AI bias, regulations, and the NIST AI Risk Management Framework.
Instruction includes security scoping and matrices related to AWS Generative AI and Agentic AI.
Multiple signals indicate the instructor speaks at an exceptionally fast pace, which can make following complex topics difficult.
Learners have noted background noise, such as phone notifications, and occasional issues with audio clarity.
The content aligns well with the needs of risk and security professionals entering the AI space.