36-credit online master's degree 100% online
MSAI
A complete Master of Science in Artificial Intelligence curriculum designed for institutional launch, including a 27-credit core, 9-credit specialization tracks, and a culminating capstone.
- Audience
- Universities, graduate divisions, and adult-serving online programs
- Credits
- 36 total credits
- Duration
- 36 credit hours across core plus specialization study
- Implementation
- Degree-ready curriculum with core, specializations, and capstone
What institutions get
- Launch a full graduate AI degree with an academically coherent core sequence.
- Offer differentiated specialization pathways in healthcare, business, or cybersecurity AI.
- Support workforce-relevant outcomes with technical, ethical, and project-based training.
Curriculum highlights
- AINS6001 Foundations of Artificial Intelligence
- AINS6002 Machine Learning & Predictive Modeling
- AINS6003 Deep Learning & Neural Networks
- AINS6004 Natural Language Processing
- AINS6005 AI Ethics, Law & Policy
- AINS6006 Big Data Management for AI Applications
- AINS6007 Applied AI Programming with Python
- AINS6008 AI Project Management & Deployment
- AINS6009 Capstone Project
- AINS6010 Local AI & Deployment to Hardware certificate course
Specialization tracks
Healthcare AI
- AINS6100 AI in Medical Imaging
- AINS6101 Predictive Analytics in Population Health
- AINS6102 AI for Clinical Decision Support
Business AI
- AINS6200 AI for Marketing & Customer Insights
- AINS6201 Automation & Process Optimization
- AINS6202 AI Strategy for Executives
Cybersecurity AI
- AINS6300 AI in Threat Detection
- AINS6301 Automated Response Systems
- AINS6302 AI for Risk Assessment
Best fit
- Universities building new AI graduate offerings
- Colleges expanding online and professional master’s portfolios
- Institutions seeking fast program launch without writing curriculum from scratch
Certificate course Online with practical deployment labs
Local AI & Deployment to Hardware
A focused course on running AI models on edge devices, on-premises servers, and embedded systems for institutions that want practical, non-cloud AI deployment training.
- Audience
- Institutions building edge AI, applied AI, or hardware-facing certificates
- Credits
- Certificate portfolio course
- Duration
- Single-course certificate or stackable module
- Implementation
- Certificate-ready applied technical course
What institutions get
- Teach students to optimize and deploy models under hardware constraints.
- Expand an AI program with edge, embedded, and local inference capability.
- Package as a standalone certificate module or elective inside a larger AI program.
Best fit
- Applied AI and engineering programs
- Cyber-physical systems curricula
- Certificate portfolios for workforce and technical learners
Graduate-level AI foundations (5000-level); AIMA textbook sequence emphasizing AI methods for problem solving—search, planning, knowledge, learning, and intelligent agents Online-first; GitHub Classroom + Codespaces; PDF and hosted slides; IMS Common Cartridge (LMS import) for every delivery path
AIMA 5001 — AIMA (Using AI to Make AI)
A complete, licensable deployment of Artificial Intelligence: A Modern Approach at graduate rigor (AIMA 5001): AI-generated slide decks, assignments, autograding hooks, and optional teaching-assistant stack. Each row below is a distinct AIMA5001 course product—demo pages are generated from MyST Markdown in web/myst-sources/ain2001/ (one file per variant, one shared myst build). Same syllabus spine, different delivery and tooling; every variant includes the same IMS Common Cartridge for LMS import where applicable.
View 6 AIMA5001 course variants
- Audience
- Graduate CS and AI programs adopting Russell & Norvig with modern GitHub, Classroom, and AI-assisted workflows
- Credits
- Institution-defined (typically 3–4 graduate credits)
- Duration
- 8 weeks sample · 24 Reveal lectures (expandable)
- Implementation
- Full course repo with Reveal slides, sample PDF slide packs, IMSCC-ready bundles for Canvas/Moodle-style import, GitHub Pages, SAMWISE curriculum tooling, and BEATRICE (AI TA) integration
What institutions get
- Ship a turnkey AIMA-aligned course with slides, readings, and assignments in one repository.
- Offer students GitHub Classroom assignments with Codespaces and automated feedback.
- Layer dialogic (instructor-led Q&A) slide delivery, SAMWISE curriculum server workflows, and BEATRICE for structured AI teaching assistance.
Curriculum highlights
- Six licensable course products for AIMA 5001 (MyST sources in myst-sources/ain2001/*.md): Basic, AI Delivery, Classroom, Dialogic, SAMWISE, BEATRICE
- 24 lecture tracks mapped to AIMA 4e with Reveal.js delivery
- 556+ indexed exercises with autograding and AI-rubric pathways (see course analysis docs)
- GitHub Classroom templates with devcontainer / Codespaces for assignments
- Instructor notes system for human and AI teaching assistants (BEATRICE)
Best fit
- Graduate CS programs adding a rigorous AI foundations course
- Institutions standardizing on Git + AI tools for programming-heavy courses
- Teams that want buyer-visible demos for each delivery format before licensing