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Course Description

The Artificial Intelligence & Machine Learning Certificate Program at the University of Miami offers 3 individual Certificate of Completion in progressive format: Fundamentals, Elite and Grand Master, and it is intended for individuals with an active interest in seeking jobs in the high-demand Artificial Intelligence-related fields. During each level of the program, students will explore topics, technology, and skills required in the successful application of AI/ML techniques to support key industry needs and demands

Our Master AI/ML level builds upon our Fundamentals and Elite levels and aims to provide learners with research-level background AI/ML materials in a fast-paced intensive format. The intent of this advanced Certificate of Completion is to establish a high-precision AI/ML knowledge base beyond the utilization or adaptation of existing toolboxes and reference projects. In this level learners will explore the concepts and methodologies under the "surface" application layer. This highest-level of AI/ML focuses on tailoring technology precisely toward commercial developments and academic research while reducing the dependency on pre-existing or general-purpose development. It aims at complete freedom of technical adaptation, which leads to full utilization of the potential of this new and exciting technology. Our AI/ML areas and its application fields, facilitating cutting-edge technology growth and fast-tracked career development.

Course Outline

  • Deep Learning Mechanisms

  • Machine Learning Mechanisms and Algorithms

  • Massive Scale AI/ML

  • Research, Reasoning and Optimal Decisions

Learner Outcomes

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

  • Applying the gradient descent algorithm to loss minimization problems.
  • Understanding how basic classification algorithms work. 
  • Applying regularization methods for AI models.
  • Handling data imbalance.
  • Understanding what autoencoders and compression mechanisms are.
  • Applying Bayes' Theorem in predictions problems.
  • Modeling classification problems by applying prediction trees.
  • Running statistical tests to validate hypothesis about data.
  • Modules
  • Deep Learning Mechanisms
  • Machine Learning Mechanisms and Algorithms
  • Massive Scale AI/ML
  • Research, Reasoning and Optimal Decisions

Contact Us

You can call 305-284-4881 or email opa@miami.edu to learn more.

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Enroll Now - Select a section to enroll in

Section Title
rAtificial Intelligence and Machine Learning Certificate Program - Master
Type
Discussion
Days
T, Th
Time
7:00PM to 9:30PM
Dates
Jan 27, 2026 to Mar 19, 2026
Schedule and Location
Contact Hours
40.0
Delivery Options
Course Fee(s)
Tuition non-credit $2,800.00
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