Security, Compliance, and Governance for AI Solutions

Overview

This course helps you understand some common issues around security, compliance, and governance associated with artificial intelligence (AI) solutions. You will learn how to recognize governance and compliance requirements for AI systems. You will also learn about various Amazon Web Services (AWS) services and features that will help you apply governance controls and achieve your compliance objectives. Finally, you will be introduced to AWS services that can help you secure your AI systems.

• 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:

• Fundamentals of Machine Learning and Artificial Intelligence
• Exploring Artificial Intelligence Use Cases and Applications

Course outline

Section 1: Introduction

• Course Overview
• Strategic Guidance for Security, Governance, and Compliance

Section 2: Applying Governance and Compliance for AI Systems

• Compliance Standards for AI Systems
• AWS Services for Governance and Compliance
• Data Governance Strategies
• Approaches for Implementing Governance Strategies
• Knowledge Check

Section 3: Securing AI Systems

• Security and Privacy Considerations for AI Systems
• AWS Services and Features for Securing AI Systems
• Understanding Data and Model Lineage
• Best Practices for Secure Data Engineering
• Knowledge Check

Section 4: Conclusion

• Resources
• Contact Us

Keywords

• Gen AI
• Generative AI

University: Provider: AWS Skill Builder. Categories:

Syllabus

Taught by

Tags

united states