Artificial Intelligence (Short Course)

Non-degree

Start Starts: 22 Sep 2026 - 24 Sep 2026 Info For details, contact NPS Online at online@nps.edu.

Clock Course duration: 3 days

Location pin Offered: In person, at NPS

Avg. tuition cost per course: Request information Online@nps.edu

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Overview

This short course provides a high-level introduction to the core ideas of artificial intelligence (AI), with an orientation towards defense applications and a focus on the machine-learning subarea. This includes an introduction to numerical models like neural networks, logical models like generative AI, and models that do planning. It also includes key issues in suitability of projects for AI, testing of AI methods, and successful management of AI projects.

 

 

Dr. Neil Rowe

Professor of Computer Science at the Naval Postgraduate School where he has been since 1983. He has a Ph.D. in Computer Science from Stanford University and three degrees from MIT. His main research interests are artificial intelligence, processing of big data, the modeling of deception, information security, and digital forensics. He is the author of a book on artificial intelligence, a book on cyberdeception, and 220 refereed technical papers. Currently he heads the Computer Science Ph.D. Program Committee and the Computer Science specialization track in artificial intelligence, and is program director for the Artificial Intelligence for Military Use Certificate. Prof. Rowe was rated in the top 2% of computer scientists through 2022.

Course Cost: Per participant, contact online@nps.edu for details.

Intended Audience:  Mid-grade or senior officers and civilian professionals with a foundational understanding of how software systems work and some exposure to technical or analytic material. While prior knowledge of AI concepts is not required, participants should be comfortable engaging with technically-oriented content and discussing key ideas with others. The course assumes a baseline level of technical literacy and is not designed as an introductory AI 101. Participants should be prepared to engage with applied, conceptually rigorous material and are encouraged to introduce applicable models for the class to explore.

Learning Outcomes

After successfully completing this short course, you will:

  • Identify tasks where AI provides operational value.
  • Explain and compare standard AI models for defense-relevant tasks.
  • Describe common machine learning methods used to optimize AI models.
  • Recognize key steps and common pitfalls in implementing AI projects.