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PROFESSIONAL CERTIFICATE IN

AI for Leaders Certificate Program

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Upskilling into the Latest Data Science Trends

As the business world evolves, professionals in finance roles need to continuously reskill and upskill to stay on top of the latest industry tools, trends, and terminology. The constant flux of applications, programs, and technologies demands a diverse array of data science professionals with evolving knowledge and up-to-date toolkits.

Certificate Overview

This comprehensive program equips leaders with the knowledge, skills, and strategic insights that they need to use AI to create new value for their organizations—in ways that are scalable, secure, and responsible. Engage live with your instructors and peers, do projects based on real-world business problems, and learn to lead your organization through its AI transformation.

Are You a Professional Looking to Take Advantage of Emerging Opportunities in the Field of Data Science?

Professionals with backgrounds in computer science, data analysis, mathematics, programming, or statistics who want to sharpen their skills for today’s data-driven industries will highly benefit from this certificate program.

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AI for Leaders Certificate Program Course

This certificate includes the following courses:

Artificial Intelligence and Data Science for Leaders

Explore opportunities to leverage artificial intelligence and data science to maximize your organization’s benefit while also considering your team. You will also delve into statistical inference and emerging tools such as automated machine learning.

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Generative AI for Business

Think systematically and critically about the new value that generative AI can afford your organization. Explore case studies for its application in a range of domains, including marketing, supply chain, and customer service.

AI-Powered Cybersecurity for Leaders

Discover where AI may support the safety and security of your organization—as well as where it may introduce new risks. Organizations rely on data and AI more than ever, and an effective and innovative approach to their security has become critical to success.

Responsible AI

Apply ethical, social, and legal frameworks that should inform how you adopt and use AI within your organizations. Lead your organization to fair and sustainable applications of AI.

After completing the program, you will be able to:

  1. Demonstrate a comprehensive understanding of how AI aligns with business strategy, enabling you to make informed decisions and drive organizational success.
  2. Implement AI strategies practically, ensuring you are ready to drive real-world impact.
  3. Address biases, promote transparency, and lead responsibly, ensuring that you not only harness the power of AI but also contribute to ethical and responsible implementation.

 

After successful completion of this course, participants will receive a credential certified by the University of Chicago.

Meet Your Instructors

Michael Colella, MS, MA, MS

Senior Director of Global Data Strategy and Analytics, AXS

Michael Colella is the senior director of Global Data Strategy and Analytics at AXS, where he leads business intelligence, analytics engineering, and web analytics. He is passionate about helping organizations use advanced analytics and AI to thrive.

img instructor Patrick-McQuillan

Patrick McQuillan, MBA

Analytics and Strategy Consultant

Patrick McQuillan is a sought-after subject matter expert in data governance, business intelligence, and AI strategy. He earned his MBA from the University of Oxford and a Bacher of Economics and International Affairs from Northeastern University.

instructor Benjamin Blakely

Benjamin Blakely, PhD

Artificial Intelligence and Cybersecurity Intelligence Researcher at Argonne National Laboratory

Benjamin Blakely has over two decades of operations, research, and teaching experience. His expertise spans machine learning methods for risk management, critical infrastructure protection, and developing systems that intelligently defend themselves.

Who Is It For?

Participants must have:

  1. Managerial experience.

  2. Basic data literacy and comfort with working with data professionally, such as using dashboards to monitor KPIs or working with spreadsheets in Excel.

  3. Proficiency with data and data-driven approaches such as ML and AI.

     

Industry Outlook

#

1

is the position of generative AI among technologies most likely to impact business significantly.

Source: Cisco (2023)

21.9

%

is the projected growth of the AI-driven cybersecurity market from 2023 to 2028.


Source: LinkedIn

3

out of

4

C-suite executives believe scaling AI over the next five years is crucial to the survival of their business.


Source: Accenture

Potential Job Titles in Data Science
  • Analytics Consultant
  • AI Engineer
  • AI Specialist
  • Big Data Engineer
  • Business Intelligence Developer
  • Business Intelligence Engineer
  • Computer Vision Engineer
  • Data Architect
  • Data Insight Analyst
  • Data-Mining Analyst
  • Data Scientist
  • Database Administrator
  • Entry-Level Software Developer
  • GIS Analyst
  • Junior Python Developer
  • Machine Learning Engineer
  • Machine Learning Researcher
  • Machine Learning Specialist
  • Python Full-Stack Developer
  • Quality Assurance Engineer
  • Senior Python Developer
  • Statistician

Admissions Process

1

Application

Complete the application form and pay the non-refundable fee.

2

Interview

Receive a call for an interview with our Admissions Team.

3

Results

Our Admission Committee will inform you of their final decision within two business days.

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The University of Chicago Approach to Online Learning

Our online learning programs are crafted with your specific needs in mind.

Certificate 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.

Why the University of Chicago?

Becoming a member of the University of Chicago community means gaining access to world-class instructors and a cohort of curious, diverse individuals.

Through a firm grounding in core principles and a rigorous approach to problem-solving, our teaching method—the Chicago Approach—will give you the tools you need to make sense of complex data and turn ideas into impact.

Participants will receive a certificate of completion.

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