Artificial Intelligence and Machine Learning

AI and ML have evolved from being mere algorithms. They now involve statistics, data science, multiple programming languages, and continue to shape the future of every industry.

About the Course

Our eight-week Artificial Intelligence and Machine Learning course explains the mathematical and theoretical principles that support the function of machine learning in the business landscape. Students will acquire a foundation in data investigation, exploration, as well as supervised and unsupervised learning. They will also learn how to transform big data into informed, actionable insights.

You Will Learn To:

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

Methodologies and Techniques:

You Will Be Able To:

Understand foundational concepts of predictive analytics and machine learning
Interpret big data-related solutions
Use the scripting programming languages, including Python, to process, visualize, and analyze large data sets and implement machine-learning solutions
Earn a certificate of completion from the University of Chicago and join the UChicago network

Request for Information

UCH-AMC-ENG

https://online.professional.uchicago.edu/info-typ/dtb-aml-infotyp/

Career Outlook

$

129

k

The average annual base pay for a machine learning engineer in the US

#

1

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

40.2

%

The projected CAGR of the global artificial intelligence market from 2020 to 2027

Potential AI and Machine Learning Roles

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

Meet Your Instructors

Dr. Pamuksuz is an AI researcher with expertise in data science, business analytics, applied mathematics, and machine/deep learning. He has been an invited speaker, delivering keynote sessions in academic and professional seminars in Europe, Asia, and the US, for application and development of data analytics in the areas of management, finance, strategy, healthcare, e-commerce, and quantitative marketing. Pamuksuz has served as a senior data scientist at State Farm as well as W.W. Grainger. He co-founded Inference Analytics in 2018.

Do you have questions?

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.