Final Days to Register—Seats Are Limited, and the Course Begins Soon. Enroll by December 9, 2024.
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.
After completing the course, you will be able to:
- Identify big data-related solutions.
- Define the basic concepts of predictive analytics and machine learning.
- Use scripting programming languages, including Python, to process, visualize, and analyze large data sets.
- Implement machine-learning solutions.
Earn a credential certifying completion from the University of Chicago and become part of the UChicago network.
Methodologies and Techniques:
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
kThe average annual base pay for a machine learning engineer in the United States.
Source: Glassdoor
1
The rank of AI and machine learning specialists among the most in-demand tech roles.
Source: World Economic Forum
38.1
%The projected CAGR for the global artificial intelligence market from 2022 to 2030.
Source: Grand View Research
- AI Engineer
- AI Specialist
- Business Intelligence Developer
- Data-Mining Analyst
- Data Scientist
- Machine Learning Engineer
- Machine Learning Researcher
- Machine Learning Specialist
Meet Your Instructor
These instructors teach this course regularly. Please speak to your enrollment advisor if you wish to know who the current teacher is.
Utku Pamuksuz, PhD
Assistant Clinical Professor and Cofounder of Inference Analytics
Dr. Pamuksuz is an artificial intelligence professor and industry consultant with expertise in data mining, applied mathematics, machine learning, and deep learning. He earned his PhD in IS/Analytics from the University of Illinois Urbana-Champaign.
Taras Skavinskyy, MSc
Director of Analytics at CBRE
Taras Skavinskyy leads statisticians and data scientists in CBRE’s Retail Analytics department. He focuses on team development, user-friendly analytics software, and collaboration with leadership to shape the future of data and analytics products.
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."
