XPØNENTIAL ACADEMY

XPØNENTIAL ACADEMY

2. How does AI work?
Course Content
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INTRODUCTION & OVERVIEW
1. Understanding AI
1.1. Where have you seen or used AI?
1.2. What is not AI?
2. How does AI work?
2.1. How does AI work?
2.2. What is data, and why is it important?
2.3. How AI learns from data: Machine learning vs. Deep Learning
3. Types of AI
3.1. What is narrow and general AI?
3.2. History of AI
4. What can AI do?
4.1. What is generative AI?
4.2. How to talk to AI tools
4.3. What generative AI can do
5. The impact of AI on jobs and industries
5.1. How AI is impacting jobs and industries
5.2. Advantages and disadvantages of AI at work
6. Exploring careers with AI
6.1. Exploring career options with AI
7. Learning with AI
8. Using AI responsibly
8.1. What is ethical AI?
8.2. What are the ethical challenges in AI, and how can we use it responsibly?
8.3. Why it is important to use AI responsibly
9. The founding figures of AI
Introduction to AI

2. How does AI work?

Solving the Case with Data!

Imagine you are a detective trying to solve a robbery.

  • Case 1: You have no information about the
  • crime scene.
  • Case 2: You find some fingerprints at the
  • crime scene.
  • Case 3: You find fingerprints on the locker and the CCTV recording of the place.

In which case would it be easier to catch the robber, and why?

  • Case 1, because no information makes it simpler to find the robber.
  • Case 2, because just fingerprints are enough to identify the robber.
  • Case 3, because fingerprints and CCTV recordings give more clues to identify the robber.

 

 

 

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