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About the Course
You Will Learn To:
- Explain the fundamental principles and the state of the fields of AI, machine learning, and cybersecurity.
- Articulate common cybersecurity threats and vulnerabilities and different mitigation strategies.
- Identify key applications of AI and machine learning to meet cybersecurity challenges.
- Assess and manage potential risks or hazards associated with AI adoption.
- Integrate consideration of AI into developing business requirements and cybersecurity controls.
- Explain and develop strategies to take advantage of the disruptions that AI brings to cybersecurity.
This course is an excellent fit for:
- Executives and other decision-makers who set the AI and/or cybersecurity strategy for their organizations
- Members of boards of directors
- Professionals working in digital transformation, including CIOs, CTOs, and other technology executives
After successful completion of this course, participants will receive a credential certified by the University of Chicago.
Industry Outlook
The promises of artificial intelligence (AI) for organizations include increased efficiencies and effectiveness—along with disruption across industries and domains. This holds especially true for cybersecurity and organizational risk management, where responsible AI deployment is pivotal. As AI technologies become integral to business models, an effective and innovative cybersecurity stance has turned into a competitive edge. Good cyber strategy has a cascading impact beyond any business’s four walls—customers, partners, vendors, and other stakeholders can all be impacted by a cyber incident.
61
%of organizations have experienced a jump of 25% or more in cyberthreats since 2020.
Source : Cisco
21.9
%is the projected growth of the AI-driven cybersecurity market from 2023 to 2028.
Source: LinkedIn
35
%is the anticipated growth in cybersecurity employment by 2031.
Source: U.S. Bureau of Labor Statistics
- Analytics Consultant
- Analytics Specialist
- Artificial Intelligence Specialist
- Big Data Developer
- Business Intelligence Developer
- Chief Information Officer
- Chief Technology Officer
- Digital Innovation Officer
- Digital Product Director
- Director of Strategy
- Insights Analyst
- Program Director
- Program Manager
Meet Your Instructor
Guest Speaker
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.
Guest Speaker
Nick Feamster, PhD
Neubauer Professor of Computer Science, Director of the Network Operations and Internet Security Lab, Director of Research at the Data Science Institute, and Founder and Co-Director of the Internet Equity Initiative at the University of Chicago
Nick Feamster designs and deploys network protocols and systems that make the internet work better. He uses empirical network measurement and machine learning to understand and improve network performance, security, and privacy. The results of his research often have policy implications. He regularly works with federal and municipal organizations, including the Federal Communications Commission (FCC) and the City of Chicago, on equitable internet access, security, and privacy.
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.
