AI Curriculum Available for Licensing

Graduate AI courses for your catalog—without writing everything from zero.

The catalog centers on licensable AINS graduate courses: a reference core sequence, specialization clusters in healthcare, business, cybersecurity, and robotics AI, a capstone, and a stackable Sovereign AI certificate (AINS6010)—your institution names the program and sets credentials. AIMA 5001 (graduate AI foundations / AI problem solving) is listed separately with PDF samples, IMS Common Cartridges, and GitHub delivery demos.

Built for institutional procurement

This site is designed for deans, provosts, online learning leaders, and academic entrepreneurs evaluating whether the curriculum fits their institution, launch timeline, staffing model, and enrollment strategy.

Clear academic value

Present a coherent AI curriculum with core foundations, applied specializations, and a capstone aligned to workforce demand.

Operational readiness

Show how a fully online program can be launched, staffed, adapted, and supported inside an institutional delivery model.

Commercial clarity

Frame the curriculum for degree launch, specialization pilots, or certificate extensions with clear partnership structures.

What institutions can buy

The same course set can support a full graduate degree your institution names, a specialization-first pilot, or stackable certificates that extend an existing catalog.

Full course stack

License the reference core, capstone, and specialization clusters as a coherent graduate AI sequence your registrar can map to local requirements.

Specialization pathways

Start with healthcare, business, cybersecurity, or robotics AI as a market-facing concentration or pilot pathway.

Certificate expansion

Use Sovereign AI (AINS6010) and related courses to build applied certificate inventory for technical learners.

What each program page includes

Every listing is written so your team can evaluate fit quickly: curriculum scope, academic positioning, how delivery can work on your campus, and what each specialization delivers for students.

  • Program structure, total credit hours, core curriculum, and specialization pathways.
  • Delivery model, online implementation assumptions, and faculty or student support expectations.
  • Licensing structure for full-program launch, certificate packaging, or concentration pilots.
  • Review artifacts such as course descriptions, syllabi, capstone framing, and launch planning materials.

Ready to add graduate AI courses?

Browse the catalog, purchase where self-serve is available, or start an institutional conversation about which courses to license, how they stack, and implementation support.