Exploring Artificial Intelligence Use Cases and Applications

FREE

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.

Description

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 AL 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 cnsider 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

Lesson 1: How to Use This Course

Lesson 2: Introduction

Section 2: Artificial Intelligence

Lesson 3: Recall of Prior Learning

Lesson 4: Examples of Real-World Use Cases

Lesson 5: Examples of AI Applications

Section 3: Machine Learning

Lesson 6: Machine Learning

Lesson 7: Machine Learning Techniques and Use Cases

Lesson 8: Knowledge Check

Section 4: Generative AI

Lesson 9: Generative AI

Lesson 10: Capabilities of Generative AI

Lesson 11: Challenges of Generative AI

Lesson 12: Factors to Consider When Selecting a Generative AI Model

Lesson 13: Business Metrics for Generative AI

Lesson 14: Knowledge Check

Section 5: Conclusion

Lesson 15: Resources

Lesson 16: Contact Us

Keywords: Gen AI, Generative AI

Reviews

There are no reviews yet.

Be the first to review “Exploring Artificial Intelligence Use Cases and Applications”

You may also like…