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Course Description

Artificial Intelligence and Machine Learning Elite


Course Outline

  • Coding Intensive AI/ML System Implementation
  • Coding for AI/ML
  • Math for Data Science

 

Learner Outcomes

Upon successful completion of the AI/ML Elite level, learners should be able to demonstrate proficiency in:

  • Solving prediction problems by applying linear regression.
  • Computing approximation and classification errors in prediction models.
  • Selecting the most adequate activation functions in AI models.
  • Understanding how supervised and unsupervised training works.
  • Applying methods to prevent AI models from memorization.
  • Using Python language to process data and design, train and test AI models.
  • Understanding the mathematical foundations of artificial neural networks.
  • Representing and interpreting probabilistic events.
  • Using mathematical methods such as PCA for dimensionality reduction. 
  • Applying statistical tests to accept/reject hypothesis about data.

Contact Us

You can call 305-676-4818 or email opa@miami.edu to learn more.

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