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Artificial Intelligence and Machine Learning

Drive tangible value and shape the future of your organization.

Enroll this week to receive a 10% tuition reduction

About the Course

The University of Chicago’s eight-week Artificial Intelligence and Machine Learning course guides participants through the mathematical and theoretical frameworks necessary to leverage the machine learning in use today in the business world.

You Will Learn To:

  • Design classification and regression models for prediction and reasoning.
  • Develop a comprehensive understanding of model interpretation and evaluation.
  • Perform unsupervised and supervised machine learning on large-scale, unstructured/structured datasets.
  • Understand important pattern discovery concepts, methods, and applications.

 

After successfully completing the course, you will receive a credential certified by the University of Chicago.

 

Methodologies and Techniques:

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Career Outlook

A multitude of large corporations, including Accenture, Amazon, IBM, and Microsoft, are using AI and applying large-scale machine learning to boost innovation. Career opportunities for AI and ML professionals have expanded to include roles in the energy, farming, finance, manufacturing, and transportation industries.

$

140

k

The average annual base pay for a machine learning engineer in the United States.

#

1

The rank of AI and machine learning specialists among the most in-demand tech roles  

  • AI Engineer
  • AI Specialist
  • Business Intelligence Developer
  • Data-Mining Analyst
  • Data Scientist
  • Machine Learning Engineer
  • Machine Learning Researcher
  • Machine Learning Specialist

Meet Your Instructor

Utku Pamuksuz, PhD

Associate Clinical Professor and Cofounder of Inference Analytics

Utku Pamuksuz is an AI and analytics professor with expertise in data science, applied mathematics, and machine and deep learning. As a frequent guest speaker, he delivers academic and professional seminars. His published research involves AI algorithms in management, finance, strategy, healthcare, e-commerce, and quantitative marketing. He cofounded Inference Analytics, a Chicago-based healthcare analytics company, and serves as chief scientist.

Dr. Pamuksuz holds a PhD in IS/Analytics from the University of Illinois Urbana-Champaign and an MSc in Computer Science from Northwestern University.

The University of Chicago Approach to Online Learning

Our online learning programs are crafted with your specific needs in mind. Programs combine e-learning with live, interactive sessions to strengthen your skill set while maximizing your time. We couple academic theory and business knowledge with practical, real-world application. Through online learning sessions, you will have an opportunity to grow your professional network and interact with University of Chicago instructors and your classmates.

What Our Participants Say

“I chose this UChicago course over others because it covers both supervised and unsupervised learning. I now have a thorough understanding of the entire machine-learning ecosystem. This course combines rigor with practical application, which is exactly what I was looking for.”

"This course helped me refresh concepts, learn about new use cases, and bolster my capabilities as a leader in a company where we create AI solutions."

“By directly involving students in the challenge of securing the right data and exploring potential solutions, we’re equipping them with the foundational skills required to deliver tangible results to clients.”

Register Now

Are you ready to take a leap forward and immerse yourself in a new learning experience? Register online or schedule a call to request more information. Enroll now and gain valuable knowledge and skills that will boost your career to the next level.