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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 and 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 data sets
- 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
- 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 credential certifying e of completion from the University of Chicago and join the UChicago network
Methodologies and Techniques:
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.
- 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
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.
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.
