AWS Flash - Introduction to Responsible AI (Korean)

Overview

In this course, we briefly explain what responsible AI is and why it is important in generative AI. Responsible AI refers to developing, deploying, and using AI in ethical, transparent, fair, and accountable ways. The course covers key elements of responsible AI including fairness, explainability, privacy, robustness, governance, and transparency best practices. Additionally, we introduce AWS services and tools for building responsible AI.

• Course Level: Beginner
• Duration: 60-75 minutes

Note: The video's Korean transcript or captions are available, with audio in English. To display captions, click the CC button on the video's bottom-right.

Note: This course is optimized for Google Chrome, Microsoft Edge, and Safari (latest two major versions).

The activities in this course include presentations, real-life scenarios, and quizzes for knowledge checks.

Course Objectives

In this course, you will learn to:

• Understand what responsible AI is and why it matters.
• Examine challenges presented by generative AI.
• Define key elements of responsible AI.
• Explore how to evaluate model fairness and explainability.
• Learn best practices for designing responsible AI systems.
• Identify services and tools for building AI responsibly on AWS.

Intended Audience

This course is intended for:

• Practitioners aiming to design and build responsible AI systems
• Decision makers
• Governance and compliance stakeholders

Prerequisites

Recommended for participants:

• Introduction to Generative AI - The Art of Possibilities (Digital) or equivalent experience
• No prior experience with cloud computing or AWS required

Course Outline

Module 1: Overview of Generative AI

• What is Generative AI?
• Common use cases of Generative AI
• Risks and challenges in adopting Generative AI

Module 2: Introduction to Responsible AI

• Definition of Responsible AI
• What constitutes Responsible AI?
• Responsible AI through the entire lifecycle
• Practicing Responsible AI

Module 3: Core Elements of Responsible AI

• Fairness
• Explainability
• Privacy and Security
• Robustness
• Governance
• Transparency

Module 4: AWS Services and Tools for Building Responsible AI

• Model Evaluation in Amazon Bedrock
• Guardrails for Amazon Bedrock
• Amazon SageMaker Clarify
• Amazon SageMaker Model Monitor
• ML Governance with Amazon SageMaker
• Amazon Augmented AI

Module 5: Knowledge Check and Summary

Keywords

• GenAI
• Generative AI

Provider: AWS Skill Builder

Categories: Artificial Intelligence Courses, Ethics Courses, Generative AI Courses, Governance Courses, Responsible AI Courses, Privacy Courses, Fairness Courses

Syllabus

Taught by

Tags

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