Georgetown AI Learning Atlas
From technical courses to a cross-campus AI learning ecosystem.
Explore how artificial intelligence and machine-learning education developed at Georgetown, where it appears today, and which claims the evidence supports.
Independent, source-led research. This Atlas is not an official Georgetown history or university position. It distinguishes confirmed evidence, corroborated records, catalog entries, and archival leads.
Historical spine
Follow the evidence, not the hype.
Choose a lens, then open any milestone to see its evidence and original source.
12 milestones shown
Spring 1996
Computer Science · Linguistics
Artificial Intelligence and neural networks
COSC 387 · LING 762
The Registrar schedule lists a three-credit Artificial Intelligence course and a three-credit Seminar: Neural Networks in the same term.
Evidence and source
- Status
- Confirmed offered
- Evidence
- Contemporaneous Registrar schedule
- Last reviewed
- 2026-09-19
Fall 1998
Computer Science
A detailed AI course record survives
COSC 387
A Registrar schedule confirms the course, while a surviving syllabus documents knowledge representation, inference, machine learning, natural-language understanding, computer vision, and assessed work.
Evidence and source
- Status
- Confirmed offered
- Evidence
- Contemporaneous schedule and syllabus
- Last reviewed
- 2026-09-19
Fall 2003
Computer Science
Machine Learning appears at two levels
COSC 388 / 507
The Registrar schedule confirms undergraduate and graduate listings; a course page documents programming projects, exams, and additional graduate research.
Evidence and source
- Status
- Confirmed offered
- Evidence
- Contemporaneous schedule and course page
- Last reviewed
- 2026-09-19
Fall 2004
Computer Science
Artificial intelligence reaches non-majors
COSC 187 / 387 / 505
The Registrar schedule confirms three credit-bearing pathways: AI for non-majors, an undergraduate AI course, and a graduate AI course.
Evidence and source
- Status
- Confirmed offered
- Evidence
- Contemporaneous Registrar schedule
- Last reviewed
- 2026-09-19
Fall 2014
Communication, Culture & Technology
A for-credit online technology course broadens access
CCTP 798
The course included artificial intelligence and ambient computing. Qualified non-Georgetown students and working professionals could apply alongside Georgetown students.
Evidence and source
- Status
- Confirmed offered
- Evidence
- Official dated program announcement
- Last reviewed
- 2026-09-19
Fall 2018
Analytics
Neural Nets and Deep Learning
ANLY 590
An official term listing documents artificial neural networks, convolutional and recurrent networks, TensorFlow, and Keras.
Evidence and source
- Status
- Confirmed offered
- Evidence
- Official Georgetown term listing
- Last reviewed
- 2026-09-19
Spring 2019
Liberal Studies
AI and Transhumanism
BLHV 464
A three-credit course examined artificial intelligence and transhumanism through scientific, ethical, and societal questions.
Evidence and source
- Status
- Confirmed offered
- Evidence
- Official dated syllabus
- Last reviewed
- 2026-09-19
Spring 2024
Georgetown Law
Legal Skills in an AI-Powered World
LAW 611
An official Week One course sheet documents sustained instruction on AI, legal practice, policy, and ethics.
Evidence and source
- Status
- Confirmed offered
- Evidence
- Official dated course sheet
- Last reviewed
- 2026-09-19
September 2024
School of Continuing Studies
AI Management master’s announced
MPS in AI Management
The launch plan established a professional master’s with strategy and technical integration pathways, plus related noncredit certificates.
Evidence and source
- Status
- Verified announcement
- Evidence
- Official dated announcement
- Last reviewed
- 2026-09-19
January 2025
Georgetown University Medical Center
Applied AI in Systems Medicine concentration
SYSM
An official announcement establishes a three-course concentration connecting AI foundations, systems medicine, and structural biology.
Evidence and source
- Status
- Verified announcement
- Evidence
- Official dated announcement
- Last reviewed
- 2026-09-19
Fall 2025
Security Studies
Artificial Intelligence and National Security
SEST 5734
The Registrar schedule documents two sections, and the University Bulletin identifies a three-credit course focused directly on AI and national security.
Evidence and source
- Status
- Confirmed offered
- Evidence
- Registrar schedule and University Bulletin
- Last reviewed
- 2026-09-19
Fall 2026
College of Arts & Sciences
Undergraduate Certificate in Artificial Intelligence
Nine-credit certificate
The 2026–27 Bulletin establishes an undergraduate pathway spanning the problem, science, and applications of AI.
Evidence and source
- Status
- Current official evidence
- Evidence
- University Bulletin
- Last reviewed
- 2026-09-19
Current breadth
One history, several learning pathways.
The categories show the shape of the current research. They are not rankings or claims of equal scale.
Technical foundations
Artificial intelligence, machine learning, deep learning, natural-language processing, reinforcement learning, and data science
Policy, law, and security
Governance, regulation, national security, international affairs, compliance, and public policy
Business and leadership
AI management, strategy, organizational change, innovation, and decision-making
Health and science
Systems medicine, biotechnology, health applications, neuroscience, and scientific research
Ethics and society
Philosophy, humanities, communication, culture, responsible use, and human impact
Literacy and access
University-wide foundations, microcredentials, certificates, public programs, and continuing education
How claims are handled
Visible evidence boundaries.
Catalog presence does not prove that a course ran. A faculty recollection is not the same as a contemporaneous schedule. The public atlas keeps those distinctions visible.
- Confirmed offered
- A term-specific Registrar record or equivalent official schedule
- Strongly corroborated
- An official syllabus, course page, or faculty teaching record without equivalent scheduling evidence
- Cataloged
- An offering appears in an official catalog, but delivery in a specific term is not yet established
- Archival lead
- An official retrospective or secondary record that still needs contemporaneous confirmation
Living research
How this grows.
The Atlas uses a reviewed public snapshot of the private Georgetown AI Learning Register. Future versions can add more verified milestones, school and domain filters, current-learning pathways, and downloadable public data without exposing private working notes.
Data reviewed 2026-09-19 · Sources linked at each milestone