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Artificial Intelligence

The Artificial Intelligence Career Pathway is tailored for students from all majors who share an interest in exploring the infinite possibilities that this pathway has to offer. From transforming traditional industries to shaping cutting-edge technologies, AI is the driving force behind a multitude of career avenues. This community is designed to provide you with the insights, resources, and connections you need to thrive in the exciting intersection of AI and your chosen discipline.

5 New Jobs Created by Artificial Intelligence

As the use of artificial intelligence continues to become more mainstream, many industries will want to keep up with emerging and ongoing trends. In order to implement AI systems effectively, companies will have to hire entirely new roles that specialize …

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Alumni Connections

Bruce Floyd

Alumni
  • Gainesville, Florida
  • Associate Director of Social Media and Digital Analytics University Athletic Association / Florida Gators
Meet Bruce

Lissette Tolentino

Alumni, Faculty
Meet Lissette

Zayne Miller

Alumni
  • Lean Specialist Azek Co
Meet Zayne

Rod Alzmann

Alumni
Meet Rod

Abishek Sethuraman

Alumni
Meet Abishek

Anurag Bihani

Alumni
  • Data Scientist SLB
Meet Anurag

Carlos Barriga

Alumni
Meet Carlos

David Wright

Alumni
  • Senior Vice President of Engineering Nilelsen
Meet David
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Credentials and Courses

Neural Networks and Convolutional Neural Networks Essential Training

Taught by Jonathan Fernandes
Take a deep dive into neural networks and convolutional neural networks, two key concepts in the area of machine learning.…

Redefining Software Development Roles in the AI Era

Taught by Harit Himanshu
In this course, software practitioner and leader Harit Himanshu equips software developers with the knowledge and skills needed to thrive…

Data Driven: Harnessing Data and AI to Reinvent Customer Engagement (getAbstract Summary)

Taught by getAbstract
Learn how technology can support marketing in the digital era, in this summary of Data Driven: Harnessing Data and AI…

Introduction to Machine Learning with KNIME

Taught by Keith McCormick
KNIME is an open-source workbench-style tool for predictive analytics and machine learning. It is highly compatible with numerous data science…

Advanced Predictive Modeling: Mastering Ensembles and Metamodeling

Taught by Keith McCormick
Ensembles involve groups of models working together to make more accurate predictions. When creating complete deployed solutions, data scientists may…

Text Analytics and Predictions with Python Essential Training

Taught by Kumaran Ponnambalam
Text is a rich source of insights for businesses. Websites, social media, emails, and chats all contain valuable customer data.…

RPA, AI, and Cognitive Tech for Leaders

Taught by Ian Barkin
A slew of exciting new technologies—from robotic process automation (RPA) to machine learning (ML) to AI agents—have altered the way…

Executive Guide to Predictive Modeling Strategy at Scale

Taught by Keith McCormick
Building world-class predictive analytics solutions requires recognizing that the challenges of scale and sample size fluctuate greatly at different stages…

Learning XAI: Explainable Artificial Intelligence (2019)

Taught by Aki Ohashi
Now that AI and machine learning are widespread, people are starting to ask, “Is the technology actually making the best…

Deploying Scalable Machine Learning for Data Science

Taught by Dan Sullivan
Machine learning models often run in complex production environments that can adapt to the ebb and flow of big data.…

Cognitive Technologies: The Real Opportunities for Business

Taught by Deloitte Insights
Cognitive technologies such as artificial intelligence and robotics are changing how businesses operate and the nature of work as we…

Artificial Intelligence Foundations: Thinking Machines

Taught by Doug Rose
Computer-enhanced artificial intelligence (AI) has been around since the 1950s, but recent hardware innovations have reinvigorated the field. New sensors…

Machine Learning & AI Foundations: Linear Regression

Taught by Keith McCormick
Having a solid understanding of linear regression—a method of modeling the relationship between one dependent variable and one to several…

Machine Learning and AI Foundations: Clustering and Association

Taught by Keith McCormick
Unsupervised learning is a type of machine learning where algorithms parse unlabeled data. The focus is not on sorting data…

Machine Learning and AI Foundations: Classification Modeling

Taught by Keith McCormick
One type of problem absolutely dominates machine learning and artificial intelligence: classification. Binary classification, the predominant method, sorts data into…

NLP with Python for Machine Learning Essential Training

Taught by Derek Jedamski
With the increased amount of data publicly available and the increased focus on unstructured text data, understanding how to clean,…

Amazon Web Services Machine Learning Essential Training

Taught by Lynn Langit
Amazon Web Services (AWS) offers a wealth of services and tools that help data scientists leverage machine learning to craft…

Machine Learning and AI Foundations: Value Estimations

Taught by Adam Geitgey
Value estimation—one of the most common types of machine learning algorithms—can automatically estimate values by looking at related information. For…

Spark for Machine Learning & AI

Taught by Dan Sullivan
Apache Spark is one of the most widely used and supported open-source tools for machine learning and big data. In…

Machine Learning and AI: Advanced Decision Trees with SPSS

Taught by Keith McCormick
If you’re working towards an understanding of machine learning, it’s important to know how to work with decision trees. In…
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Forage Job Simulations

Explore Career Options with Forage.

Forage offers virtual work simulations that allow you to explore what it is like to work within a variety of of industries. These opportunities are completely free, with no prior experience or application needed to get started.

GenAI Experience with BCG

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Career Resources

NSF REU Site Finder

The National Science Foundation (NSF) funds summer research experiences for undergraduates. Research Experiences for Undergraduates (REU) programs allow students an …

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AI at Work: Health and Life Sciences

Learn how AI is being incorporated into the career pathway of Health and Life Sciences.

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Contact & Location

Phone
352-392-1601
Email
UFCareerCenter@ufsa.ufl.edu
Website
https://career.ufl.edu/
Address

J. Wayne Reitz Union
Suite 1300
PO Box 118507
Gainesville, FL 32611-8507

Career Service Hours

Monday 8:00 am- 5:00 pm
Tuesday 8:00 am- 5:00 pm
Wednesday 8:00 am- 5:00 pm
Thursday 8:00 am- 5:00 pm
Friday 8:00 am- 5:00 pm

We are located on Level 1 of the Reitz Union.