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Applications of AI and Machine Learning

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The World of Artificial Intelligence
Description

In this lesson, students are introduced to the field of Artificial Intelligence. Students explore the definition of intelligence and the different types of artificial intelligence in computers.

Objective

Students will be able to:

  • Define Artificial Intelligence
  • Explain the difference between predictive and generative AI
Description

In this lesson, students will learn more about the types of AI and dive deeper into the three most popular machine learning algorithms.

Objective

Students will be able to:

  • Describe the difference between narrow and general AI
  • Describe the general machine learning process
  • Describe the similarities and differences of supervised, unsupervised, and reinforcement learning algorithms
  • Train and test a supervised learning model
  • Experience reinforcement learning
Description

In this lesson, students will learn about different subsets of Artificial Intelligence, specifically machine learning and neural networks.

Objective

Students will be able to:

  • Understand the differences between the concepts of AI, machine learning, and neural networks
  • Explain how machine learning is different from a traditional programming
  • Explain the fundamental concepts of how a neural network works
Description

In this lesson, students discuss important ethical issues related to the development of Artificial Intelligence, and debate the necessity of Artificial Intelligence in modern society.

Objective

Students will be able to:

  • Articulate their position on ethical issues in AI.
  • Explain how datasets can be biased and the impact that they have.