Exploring Artificial Intelligence Use Cases and Applications

via AWS Skill Builder

Overview

In this course, you will explore real-world artificial intelligence (AI), machine learning (ML), and generative artificial intelligence (generative AI) use cases across a range of industries. These areas include healthcare, finance, marketing, entertainment, and more. You will also learn about AI, ML, and generative AI capabilities and limitations, model selection techniques, and key business metrics.

Course level: Fundamental
Duration: 1 hour

Activities

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

Course objectives

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

Identify examples of real-world AI applications.
Recognize use cases and solutions where AI can address business needs.
Determine when AI and ML solutions are not appropriate.
Identify use cases that use ML techniques such as supervised, unsupervised, and reinforcement learning.
Identify capabilities of generative AI.
Identify challenges of generative AI.
Identify factors to consider when selecting generative AI models.
Identify business metrics for generative AI applications.

Intended audience

This course is intended for the following:

Individuals interested in machine learning and artificial intelligence independent of a specific job role

Prerequisites

Attendees are recommended to complete the Fundamentals of Machine Learning (ML) and Artificial Intelligence (AI) course, which provides the foundational knowledge for AI, ML, and generative AI.

Course outline

Section 1: Introduction