Course Highlights
  • What AI is and isn’t
  • How AI, ML, Deep Learning all fit together
  • Why Data is important
  • Applications of AI
  • What programming AI looks like - predicting numbers with regression, computer-assisted decisions with classification, gaming etc can make mistakes because of poor data
  • Neural Networks -- what they are and what they aren't. Basics. Forward and Backward propagation
  • Understand how Fairness and Ethics work in AI
  • The process of teaching a computer how to learn
  • How AI applications can make mistakes because of poor data
Curriculum

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Google: Google AI for Anyone

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