AIF 500 - Artificial Intelligence and Machine Learning Master
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
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Deep Learning Mechanisms
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Machine Learning Mechanisms and Algorithms
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Massive Scale AI/ML
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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
Notes
Career Services
The office of Professional Advancement (OPA) is excited to announce that in a partnership with the TOPPEL Career Center at the University of Miami are now offering to our students and alumni a comprehensive suite of career services available via our career services platform Handshake!
What is Handshake?
Handshake is a career services platform created for students and alumni to use in their career development. It's used by over 200,000 employees, including all Fortune 500 companies! Thousands of internships and job opportunities are posted on Handshake by employers specifically looking to hire students.
All students have a Handshake account that is automatically created for them once they begin their program of study at the U. Once you receive an email notification, all you have to do is log into Handshake to activate your account. Handshake will then recommend certain positions to you based on your profile allowing for easy searching. Comparing and updating your profile will provide Handshake with a better idea of which job interviews/internships listings you may be interested in.
Here are some of the awesome things you can do with Handshake:
Apply for jobs & internships
Register for career fairs, workshops, & info sessions
Upload your resume for an online critique from the Toppel Career Center
Research thousands of employers
Network with recruiters and other students for career insights
Library Services
The office of Professional Advancement (OPA) is excited to announce that our students now have access to the Otto G. Richter Library services throughout the duration of their respective Certificate Programs.
Student online resources: https://www.library.miami.edu/
For accessing certain resources, students may need to go through UM IT authentication and enter their CaneID and passwords. Students can retrieve their CaneID and password at: https://caneidhelp.miami.edu/
Students are also able to check out books in person. To do so, they may stop by the Access Services desk to pick up a library card on their first visit to the Richter Library Building, located at Otto G. Richter Library Building, 1300 Memorial Drive, Coral Gables, Florida 33146