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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:
Techniques course AI and ML
You Will Be Able To:
  1. Understand foundational concepts of predictive analytics and machine learning
  2. Interpret big data-related solutions
  3. Use the scripting programming languages, including Python, to process, visualize, and analyze large data sets and implement machine-learning solutions
  4. Earn a certificate of completion from the University of Chicago and join the UChicago network

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Career Outlook

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

Meet Your Instructors

Headshot of the instructor: Utku Pamuksuz
Utku Pamuksuz, PhD, MSc
Chief Data Scientist and Co-founder, Inference Analytics; Lecturer, the University of Chicago

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.

University of Chicago

“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.”

– Greg Green, PhD, Associate Senior Instructional Professor and Director of the MScA Program at the University of Chicago

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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Are you ready to take a leap forward and immerse yourself
in a new learning experience? Click the button below to
download the brochure or schedule a call to request more information.
Gain valuable knowledge and skills that will
boost your career to the next level.

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