Foundations of AI for Decision Makers

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2 Units
Online Self-Paced
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Course Description

Learn to Successfully Utilize AI Integration and Strategy

This course provides executives and business leaders with a foundational understanding of artificial intelligence (AI) and machine learning (ML), equipping them to make informed decisions on AI integration and strategy in their organizations. Participants will explore the concepts, capabilities, and strategic applications of AI in business, preparing them to lead AI-driven transformations and foster a data and value-driven culture.

Course Details

Number of Units: 2.0 graduate level extension credits in semester hours

Who Should Attend: Chief Executive Officers (CEOs); Chief Information Officers (CIOs) and Chief Technology Officers (CTOs); Chief Data Officers (CDOs) and Chief Analytics Officers (CAOs); Chief Operating Officers (COOs); Vice Presidents and Directors of Strategy, Innovation, or Operations; Senior Managers and Consultants in Technology, Data, and Business Transformation; Business Unit Leaders and Functional Managers (e.g., Marketing, Finance, HR, Supply Chain); and Board Members and Senior Advisors.This program will empower these professionals to integrate AI insights into their leadership practices and strategic planning, driving value and innovation across their organizations and companies.

Technicial Requirements

Course Options

Course Date Units Price
AAI-X800 – 001 Start now, you have 180 days to complete this course once enrolled 2 $599

Foundations of AI for Decision Makers

Start now, you have 180 days to complete this course once enrolled
2
$599
Online Self-Paced
David Friesen

Once you have enrolled in your course, log in to your account to access the course Welcome Letter, which includes directions on how to access the New Student Orientation and your online course.

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What You Will Learn

  • Explain foundational AI concepts, including generative AI, large language models (LLMs), and machine learning, and their relevance to leadership and strategic decision-making
  • Evaluate the practical capabilities and limitations of AI technologies to make informed, strategic decisions in organizational contexts
  • Design and practice a high-level AI strategy that aligns with organizational goals and ensures sustainable competitive advantage
  • Assess the data and infrastructure needs required to enable successful AI implementation in an organization
  • Identify potential challenges and risks in deploying AI solutions and develop strategies for mitigating them effectively

Instructors

Professional development courses offered by the University of San Diego’s Division of Professional & Continuing Education are taught by faculty that possess a depth and breadth of academic and real-world professional experience.

Why USD?

The Professional and Continuing Education program nurtures key partnerships on the local, national, and international level. The goal is to better serve working professionals who seek to enhance or build their careers and help achieve their highest value and potential. Contact us today to learn more.

Informative Stats and Facts

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Learning Method Information

Courses offer a convenient, yet rigorous style of learning that allows you to structure your education to suit your schedule while keeping you on pace toward achieving your educational.

Online Self-Paced

Our online self-paced courses are designed to provide flexibility and autonomy for learners. Unlike traditional classroom methods, which require attendance at scheduled times, self-paced courses allow you to progress through the material at your own speed within a six-month period from the time of enrollment.  Your instructor will provide feedback via written responses on your assignments and exams. Grades are based on completed projects, assignments and exams.

Key differences from traditional classroom methods:

  • No scheduled class times or required attendance.
  • No assigned due dates for assignments; you set your own schedule.
  • Asynchronous learning, meaning you can work on assignments anytime.
  • No discussion forums and no interaction with others enrolled in the course.
  • No scheduled class times or required attendance.

Structure of Online Self-Paced Courses:

The content is divided into learning modules, each covering one or more topics. Within each module, you can expect the following components:

  • Module Introduction: Outlines what you can expect to learn in the module.
  • Required Readings and Presentations: Includes textbooks, articles, journals, websites, and audio/video presentations.
  • Assignments: May include written assignments, quizzes, blogs, and other activities based on the readings and presentations.
  • Module Conclusion: Reviews the topics covered and what you should have learned.

Typically, there is a final project, paper, or exam due in the last module that synthesizes all the topics covered throughout the course. The design of the learning modules follows a consistent rhythm to help you manage your time effectively. Grades will be available within two weeks of final submission, transcripts will be automatically mailed out following grades being posted and approved. Please allow 3-4 weeks from when final grades are posted to receive a transcript.