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Security, Compliance, and Governance for AI Solutions

In this course, you will learn how to do the following: Identify and describe common governance and compliance considerations for AI systems, Describe the AWS services that assist with applying governance controls and achieving compliance objectives, Describe common data governance strategies, Describe common approaches for implementing governance strategies, List and describe security and privacy considerations for AI systems, Describe AWS services and features for securing AI systems, Describe tasks like source citation and documenting data origins, and lastly, Describe best practices for secure data engineering.

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AWS

Course level: Fundamental
Duration: 1 hour

Activities

This course includes interactive learning elements, text instruction, and illustrative graphics.

Course objectives

In this course, you will learn how to do the following:

Identify and describe common governance and compliance considerations for AI systems.
Describe the AWS services that assist with applying governance controls and achieving compliance objectives.
Describe common data governance strategies.
Describe common approaches for implementing governance strategies.
List and describe security and privacy considerations for AI systems.
Describe AWS services and features for securing AI systems.
Describe tasks like source citation and documenting data origins.
Describe best practices for secure data engineering.

Intended audience

This course is intended for the following:

Individuals interested in machine learning (ML) and AI, independent of a specific job role

Prerequisites

Security, Compliance, and Governance for AI Solutions is part of a series that facilitates a foundation on artificial intelligence, machine learning, and generative AI. If you have not done so already, it is recommended that you complete these two courses: