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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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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IBM – Getting Started with Artificial Intelligence

And learned so much! You became familiar with fundamental AI concepts, such as types of AI, methods that AI uses to find connections and make predictions, and ways that humans interact with AI systems.

Now that you’ve completed this course, you should be able to:

  • Define artificial intelligence
  • Differentiate between AI and augmented 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, unstructured, and semi-structured 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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