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
Course design
Module 1 What is artificial intelligence?
What is AI?
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.
Quiz
Module 2 What are the three eras of computing?
The Era of Tabulation
The Era of Programming
The Era of AI
Quiz
Module 3 Structured, semi-structured, or unstructured data: What are the differences?
A look at the types of data
Quiz
Analyzing unstructured data
Select what you think might be the best answer.
Spoiler Alert!
Quiz
Module 4 Is machine learning the answer to the unstructured data problem?
How does machine learning approach a problem?
Machine learning uses probabilistic calculation
more thoughts
Does common sense make sense?
Quiz
Module 5 Three common methods of machine learning
Supervised learning
Unsupervised learning
Reinforcement learning
Quiz
Module 6 How will machine learning transform human life?
Take another look at the three levels of artificial intelligence
Quiz
You’ve come so far!
Key points to remember
Explore more!
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
Quiz LLM
Points to remember
Explore more IBM resources!
IBM References
IBM – Getting Started with Artificial Intelligence

Introduction

In this module, you will learn how data can be classified as structured, semi-structured, or unstructured data and the challenges that arise when working with unstructured data.

Learning objectives

After completing this module, you should be able to:

  • Differentiate between structured, semi-structured, and unstructured data
  • Identify challenges that come with working with unstructured data
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