Artificial Intelligence Short Courses

Artificial Intelligence Short Courses

Photo of Fundamentals of AI (STEM) Fundamentals of AI (STEM) Start Date: October 18, 2021
Fee: $1095

This is a 15-hour hybrid course. Learners will meet synchronously via Zoom and will have asynchronous activities. Learners will have eight weeks upon registration to complete the five modules which will require the students to complete at least three hours of work each week. At the end of the course, students will earn a badge for course completion. Learners will earn 1.5 continuing education units (CEUs).

By the end of this course, students will be able to:

  • Describe Statistical and Neural algorithms for AI, including

    Multi-layer Perceptrons (MLPs)
    Dimensionality Reduction
    Support Vector Machines (SVMs)
    Random Forests
    Gibbs Samplers
    Topic Models
    Convolutional Neural Networks (CNNs)
    Autoencoders
    Generative Adversarial Networks

  • Use Jupyter Notebook implementations of Statistical and Neural algorithms

Start Date: October 18, 2021

Registration is closed.

Photo of Fundamentals of AI Fundamentals of AI Start Date: October 18, 2021
Fee: $1095

An overview of Artificial Intelligence (AI), approaching the concept from its origins to expectations for the future. The course will focus on various AI technologies, how to build Machine Learning models, and how to apply AI tools to solve real-world problems. Some of the concepts introduced in the course are types of AI and Machine Learning, Hacking and the IoT, AI today, and its outlook for the future.

By the end of this course, students will be able to:

  • Discuss the history and types of AI
  • Explaining the different methods of Machine Learning and its uses
  • Creating your own Machine Learning models
  • Being an informed user of AI tools

Start Date: October 18, 2021

Registration is closed.

Photo of AI Applications AI Applications Start Date: February 7, 2022
Fee: $1095

This course is hybrid, meaning it will include a mixture of online work and live webinars. The goal of this course is to present a set of modular applications of AI. This course will focus on several AI application areas, namely, AI in agriculture, AI in environmental systems, AI in healthcare, AI is cybersecurity, AI in defense, AI in IoT, AI in human interaction, and AI in education.

By the end of this course, students will be able to:

  • Define basic terminology for Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL) tools.
  • Identify limitations, risks, and success metrics for a wide range of AI applications.
  • Match appropriate sensing imaging for different AI applications. Select appropriate experiments to evaluate model robustness.
  • Apply different principles of experimental design.

Start Date: February 7, 2022

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Photo of Deep Learning for AI Deep Learning for AI Start Date: Spring 2022
Fee: $1095

This course offers a top-down approach to the study of deep neural network-based solutions, beginning with introducing basic concepts and applications. Course participants are then guided by implementing common architectures and corresponding training and prediction procedures, which includes a simple environment setup and interactive participation using Anaconda Jupyter notebooks. The underlying principles are then reviewed to provide the foundation necessary for deeper understanding and interrogation of these large, complex mathematical models. We conclude this short course by revisiting notable applications to discuss lessons learned.

Start Date: Spring 2022
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Email us at edge@eng.ufl.edu if you’re interested in getting notified once the date for the course is finalized and registration is open.

 

 

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