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. 



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Sign up now with early-enrollment pricing—10% tuition reduction available only until October 25, 2022


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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:

Methodologies and Techniques:

You Will Be Able To:

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Career Outlook

A multitude of large corporations, including Accenture, Amazon, IBM, and Microsoft, are using AI, applying large-scale machine learning to boost innovation. Career opportunities for professionals dedicated to AI and machine learning have grown to include the energy, farming, finance, manufacturing, and transportation industries. According to the World Economic Forum, AI/ML roles are the most in-demand in today’s job market.

$

136

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  

38.1

%

The projected CAGR of the global artificial intelligence market from 2022 to 2030 

Potential AI and Machine Learning Roles

Meet Your Instructors

Utku Pamuksuz, PhD, MSc
Utku Pamuksuz, PhD, MScChief Data Scientist and Co-founder, Inference Analytics; Lecturer, the University of Chicago Read More
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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.
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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.

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