# AI Courses for Higher Education > Higher Education · Course catalog > Source: https://ibl.ai/solutions/higher-education/courses > Last updated: 2026-08-25 ## The Short Answer **ibl.ai publishes ten AI courses for higher education, each a complete specification — module outlines, learning outcomes, assessment design, hands-on labs, and cited primary sources. Request access to run one with your cohort. They run on infrastructure where you own all the code and the data, model-agnostic across any LLM, with no per-seat pricing.** On ibl.ai you own all the code and the data, run it model-agnostic across any LLM, and pay with no per-seat pricing — so you can deploy anywhere, from your own cloud to a fully air-gapped network. [Request Access](https://ibl.ai/contact) · [Explore Higher Education](https://ibl.ai/solutions/higher-education) AI training for the people who actually run a campus — advising, enrollment, faculty development, research administration, and the policy that governs all of it. ## Which AI courses are available for higher education? ### HE-1 — FERPA-Compliant AI: Deploying Agents on Student Data Run AI agents against your SIS and LMS without a vendor ever seeing a student record — the school official exception, vendor DPAs, and the architecture FERPA implies. _Foundational · 6 hours across 8 modules · 8 modules_ [Full course design](https://ibl.ai/solutions/higher-education/course/ferpa-compliant-ai) ### HE-2 — AI Academic Advising at Scale: Design and Guardrails Build an advising agent that handles degree audits and registration at 20,000-student scale without ever giving a student wrong graduation advice. _Intermediate · 6.5 hours across 8 modules · 8 modules_ [Full course design](https://ibl.ai/solutions/higher-education/course/ai-academic-advising-at-scale) ### HE-3 — Enrollment and Yield AI: Agents Across the Funnel Deploy AI across inquiry, application, admit, and melt — where agents lift yield, where they damage trust, and how to keep the funnel on infrastructure you own. _Intermediate · 6 hours across 8 modules · 8 modules_ [Full course design](https://ibl.ai/solutions/higher-education/course/enrollment-and-yield-ai) ### HE-4 — AI Tutoring That Improves Outcomes, Not Just Engagement Design a tutoring agent that produces measurable learning gains — Socratic scaffolding, answer-withholding, misconception detection, and honest outcome measurement. _Intermediate · 6 hours across 8 modules · 8 modules_ [Full course design](https://ibl.ai/solutions/higher-education/course/ai-tutoring-that-improves-outcomes) ### HE-5 — Assessment Redesign for the AI Era Detection does not work. Rebuild assessment around what AI cannot fake — process, oral defense, local context, and in-class artifacts — with department-ready rubrics. _Foundational · 5.5 hours across 8 modules · 8 modules_ [Full course design](https://ibl.ai/solutions/higher-education/course/assessment-redesign-for-the-ai-era) ### HE-6 — Writing a Campus AI Policy That Survives Accreditation Draft institutional AI policy a regional accreditor, a general counsel, and a faculty senate will each accept — with the governance to keep it current. _Intermediate · 5.5 hours across 8 modules · 8 modules_ [Full course design](https://ibl.ai/solutions/higher-education/course/campus-ai-policy-that-survives-accreditation) ### HE-7 — RAG on Institutional Knowledge: Catalogs, Policies, Handbooks Retrieval-augmented generation over the documents a campus runs on — chunking a catalog, versioning policy, and stopping the agent citing a 2019 handbook. _Advanced · 7 hours across 8 modules · 8 modules_ [Full course design](https://ibl.ai/solutions/higher-education/course/rag-on-institutional-knowledge) ### HE-8 — AI for Research Administration: Grants, IRB, and Compliance Use AI across proposal development, IRB review, and post-award compliance without exposing pre-publication research or violating sponsor terms. _Intermediate · 6 hours across 8 modules · 8 modules_ [Full course design](https://ibl.ai/solutions/higher-education/course/ai-for-research-administration) ### HE-9 — The Campus AI Cost Model: Per-Seat vs Owned Infrastructure The real arithmetic of campus AI — per-seat licensing at 20,000 students versus token pricing versus self-hosting, with a model you run on your own headcount. _Foundational · 5 hours across 8 modules · 8 modules_ [Full course design](https://ibl.ai/solutions/higher-education/course/campus-ai-cost-model) ### HE-10 — Faculty AI Literacy: A Six-Week Teach-the-Teacher Program A ready-to-run faculty development program — six sessions, artifacts, and a facilitator guide — that moves a department from anxiety to designed AI use. _Foundational · 6 sessions of 90 minutes, run over six weeks · 8 modules_ [Full course design](https://ibl.ai/solutions/higher-education/course/faculty-ai-literacy-program) ## Which frameworks and regulations do these courses cover? 34 CFR Part 99, Academic integrity policy, FERPA, IRB / Common Rule, ISO/IEC 42001, ITAR, Institutional academic integrity policy, NIST AI RMF, NIST SP 800-171, Regional accreditation standards, TCO analysis, Title IV, Uniform Guidance, WCAG 2.2. ## What ships with every course? - **Facilitator guide.** Session-by-session running order, discussion prompts, and the questions that reliably derail a room. - **Learner workbook.** Exercises, checklists, and the templates each module's activity produces. - **Hands-on lab environment.** A sandboxed ibl.ai deployment so exercises run against real agents, not screenshots. - **Assessment bank.** Scenario questions and rubric criteria mapped to each stated learning outcome. - **Source bibliography.** Every primary regulation and standard cited on this page, linked and dated. ## Why run AI training on a platform you own? - **You own the course, not a licence to it.** Course content, learner data, and the platform run inside your perimeter — you own all the code and the data. - **Model-agnostic delivery.** Run the course's AI components on any LLM — Claude, GPT, Llama, Gemini, Command — and switch anytime. - **No per-seat training licences.** Usage-based or self-hosted, so cost tracks actual use rather than headcount. - **Deploy anywhere.** Cloud, private VPC, on-premise, or fully air-gapped — including for cohorts that cannot use public AI tools. ## Frequently asked questions ### What AI courses does ibl.ai offer for higher education? 10 courses covering 34 CFR Part 99, Academic integrity policy, FERPA, IRB / Common Rule, ISO/IEC 42001, ITAR and more — for example: FERPA-Compliant AI: Deploying Agents on Student Data; AI Academic Advising at Scale: Design and Guardrails; Enrollment and Yield AI: Agents Across the Funnel. Each publishes its full design: modules, learning outcomes, assessment, and the primary sources it is grounded in. ### How do we get access to these courses? Request access and we will set it up for your cohort — hosted by ibl.ai, or running against your own deployment. Tell us which courses, the group size, and whether it needs to run inside your own perimeter. ### Can we run higher education AI training on our own infrastructure? Yes. ibl.ai is model-agnostic and deploy-anywhere — cloud, private VPC, on-premise, or fully air-gapped — and you own all the code and the data. Cohort data and anything learners upload stay inside your perimeter, which matters for higher education teams that cannot send work to a public AI tool. ### How much does AI training for higher education cost? There is no per-seat pricing — you pay for usage, or self-host and pay only for the infrastructure, so a large rollout does not cost one licence per person. 1.6M+ users across 400+ organizations run the platform this way, including NVIDIA, MIT, and Syracuse University. ### Who are these higher education courses written for? Practitioners rather than general audiences — each course names its audience and prerequisites explicitly, and levels range across foundational, intermediate, advanced.