Module 2 What are the three eras of computing?

Course Content

Introduction to Artificial Intelligence

About this learning activity Less than a century old, artificial intelligence (AI) has already undergone three waves of transformative development. Today it gives humanity the most powerful tools for analyzing complex data, not only to find meaning but to learn without human intervention. In this course, you'll survey AI's history and explore ways that it can shed light on unstructured data. What you'll learn After completing this course, you should be able to: Define artificial intelligence Describe three levels of artificial intelligence Describe the history of AI from the past to the possible future Define and describe machine learning Differentiate between structured and unstructured data Describe how machine learning structures data Describe how machine learning structures unstructured data Describe how machine learning uses probabilistic calculation to solve problems Describe three methods by which machine learning analyzes data Describe an ideal relationship between humans and machine learning

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About this course

Module 1 What is artificial intelligence?

Reflection: What do you think?

What is the difference between AI and augmented intelligence?

What does AI do?

What predictions can AI make?

How is AI evolving?

Match each scenario to the level of AI.

Module 2 What are the three eras of computing?

The Era of Tabulation

The Era of Programming

Module 3 Structured, semi-structured, or unstructured data: What are the differences?

A look at the types of data

Analyzing unstructured data

Select what you think might be the best answer.

Module 4 Is machine learning the answer to the unstructured data problem?

How does machine learning approach a problem?

Machine learning uses probabilistic calculation

Does common sense make sense?

Module 5 Three common methods of machine learning

Supervised learning

Unsupervised learning

Reinforcement learning

Module 6 How will machine learning transform human life?

Take another look at the three levels of artificial intelligence

You’ve come so far!

Key points to remember

Final assessment

Introduction to Large language models

Welcome to Introduction to Large Language Models! In this module, you'll learn what large language models are, how they work, and some typical business applications. Estimated duration 30 minutes

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Learning objectives

About this lesson: Large language model basics

What are large language models?

How large language models work

Points to remember

Explore more IBM resources!

IBM – Getting Started with Artificial Intelligence

Introduction

In this module, you will learn about the eras of computing that progress from tabulating and programming to the arrival of AI.

Learning objectives

After completing this module, you should be able to:

Describe the history of AI, from the past to the possible future

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