In the Certificate in Artificial Intelligence Management, you’ll have the unique opportunity to engage with thought leaders in technology and business strategy while exploring how applications of AI can be leveraged for a competitive advantage.
Using theoretical frameworks, models, and real-world case studies, you’ll think strategically about how organizational performance and value can be increased in the cognitive enterprise. You’ll also gain insight into the legal, ethical, and policy issues that surround the decisions of leaders within today’s business landscape.
Ideal for: Business leaders, strategists, & entrepreneurs
Business leaders, strategists, & entrepreneurs
Duration: 3 consecutive days
3 consecutive days
Format: Live Online
Schedule: All day, 3 consecutive days
All day, 3 consecutive days
Semester of Entry: Fall, spring, summer
Semester of Entry
Fall, spring, summer
Upon successful completion of the certificate, you’ll be able to:
Distinguish the characteristics and differences of artificial intelligence, machine learning, deep learning, big data, and other advanced technologies
Understand the impact of technological disruption on existing business models
Discover how to integrate intelligence and knowledge as distinct and critical drivers of organizational performance
Develop insight into organizational performance and the legal, ethical, and policy issues that surround the decisions of today's leaders of the intelligent enterprise
Apply a set of planning tools and strategies to identify and evaluate new business models provided by emergent technologies
Testimonials from current students and alumni.
This program gives managers the opportunity to develop a sound Artificial Intelligence business case based on existing technologies and deployment strategies used by leading experts working in the field.
Marcus Maloof, Professor in the Department of Computer Science at Georgetown University
Certificate in Artificial Intelligence Management
Our classes are taught online in real-time by Georgetown instructors using Zoom video conferencing. They are designed to provide our professional learners with a high-quality, engaging educational experience. For more information, please contact Program Support at email@example.com.
You must successfully complete a total of 2.4 Continuing Education Units (CEUs), which is equivalent to 24.0 contact hours. The course is delivered over a period of three consecutive days. The following is the list of topics that will be covered each day:
Day 1 During the first day, students will first learn common definitions of artificial intelligence (AI) and its main areas. Developers program or train AI systems to make decisions, and students will learn the main ingredients of complex decision-making. Students will then review some of the major AI technologies, such as graphical models and neural networks. With this introductory background, students will divide into groups and will identify an application of their choice and discuss pertinent AI technologies and design issues. They will present the outcomes of their discussions to the rest of the class. After briefly exploring how organizations build AI systems, the first day concludes with a survey of successful and unsuccessful commercial applications.
Machine Learning for the Enterprise
Day 2 During the second day, students will learn about the five pillars of AI integration (Precisely measurable, reliable data pipeline, algorithms, infrastructure, and breaking down silos across the customer’s journey) and will be exposed to a real-world application with Afiniti. The students will be exposed to “off the shelves” technology solutions powered by artificial intelligence and developed by leading companies in the industry (Accenture and Hewlett Packard). Finally, the students will learn how artificial intelligence can be a powerful innovation enabler when it is combined with other emerging technologies such as the Internet of Things, cloud computing, and blockchain technology. Experts from Amazon, the Chamber of Digital Commerce, and Georgetown University will discuss technology fusion use cases and the implication for business innovations.
5 Pillars of AI Integration
AI and Business Solutions
AI, IoTs, Cloud Computing, and Blockchain Technology
Day 3 During the last day, students will learn about laws and regulations that govern the development and application of artificial intelligence. The lesson will address legal frameworks in North America and Europe. Students will also be exposed to practical and contemporary ethical challenges related to the use of artificial intelligence in different industry sectors. An ethics expert from the University of Cambridge will provide students with foundational principles to address modern artificial intelligence moral dilemmas. Finally, students will learn how to develop an artificial business case and will be pitching their project ideas to classmates and receive guidance from a leading expert.
AI Legal Frameworks
AI and Ethics
Developing an AI Business Case
What Is Live Online Learning?
Georgetown faculty deliver exceptional educational experiences based on a human-centered approach that integrates the needs of professional learners and the possibilities of technology. Live online classes are kept small to support interactive engaged learning and collaboration.
Dr. Frederic Lemieux currently serves as Professor of the Practice and Faculty Director of the MPS programs in Applied Intelligence, Cybersecurity Risk Management, Technology Management and Information Technology Management. He ... Read more
How to Register
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You must hold a bachelor's degree or the equivalent in order to enroll in our certificate programs.
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Payment #1: A down payment of 25% of the total tuition balance must be paid online (within 72 hours after you register and select Payment Plan) via the Noncredit Student Portal. Please submit your down payment as soon as possible.
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Check the list of lenders that have offered private education loans in the past to Georgetown University students.
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