# AI Courses for Enterprise > Enterprise · Course catalog > Source: https://ibl.ai/solutions/enterprise/courses > Last updated: 2026-08-25 ## The Short Answer **ibl.ai publishes ten AI courses for enterprise, 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 Enterprise](https://ibl.ai/solutions/enterprise) AI training for enterprise teams — agent architecture, retrieval, security, governance, cost modeling, and the rollout work that decides whether any of it lands. ## Which AI courses are available for enterprise? ### ENT-1 — Agentic AI for the Enterprise: From Chatbot to Workforce What separates an agent from a chatbot — tools, memory, autonomy — and the orchestration patterns that let agents finish multi-step work without supervision. _Intermediate · 7 hours across 8 modules · 8 modules_ [Full course design](https://ibl.ai/solutions/enterprise/course/agentic-ai-for-the-enterprise) ### ENT-2 — RAG on Enterprise Knowledge: Architecture, Chunking, Evals Production retrieval over enterprise content — chunking strategy, hybrid search, permission-aware retrieval, and the eval harness that proves it works. _Advanced · 7.5 hours across 8 modules · 8 modules_ [Full course design](https://ibl.ai/solutions/enterprise/course/rag-on-enterprise-knowledge) ### ENT-3 — The Enterprise AI Cost Model: Per-Seat vs Token vs Owned Model AI spend across pricing shapes at real headcount — where per-seat licensing breaks, what tokens actually cost, and when owning the stack wins. _Foundational · 5.5 hours across 8 modules · 8 modules_ [Full course design](https://ibl.ai/solutions/enterprise/course/enterprise-ai-cost-model) ### ENT-4 — AI Security: The OWASP LLM Top 10 in Production Securing deployed LLM systems — prompt injection, data leakage, supply chain, and excessive agency — with the controls and tests for each. _Advanced · 7 hours across 8 modules · 8 modules_ [Full course design](https://ibl.ai/solutions/enterprise/course/ai-security-owasp-llm-top-10) ### ENT-5 — AI Governance in Practice: NIST AI RMF, ISO 42001, EU AI Act Operationalize three overlapping frameworks into one governance program — inventory, risk classification, controls, and the evidence auditors ask for. _Intermediate · 6.5 hours across 8 modules · 8 modules_ [Full course design](https://ibl.ai/solutions/enterprise/course/ai-governance-nist-iso-eu-ai-act) ### ENT-6 — Building an LLM Eval Harness That Ships Move from vibes to measurement — task-specific eval design, LLM-as-judge and its limits, regression gates, and production monitoring. _Advanced · 6.5 hours across 8 modules · 8 modules_ [Full course design](https://ibl.ai/solutions/enterprise/course/llm-eval-harness-that-ships) ### ENT-7 — Model Context Protocol: Connecting Agents to Enterprise Systems MCP as the integration layer for enterprise agents — server design, authentication, authorization, and exposing internal systems without exposing them to everyone. _Advanced · 6.5 hours across 8 modules · 8 modules_ [Full course design](https://ibl.ai/solutions/enterprise/course/model-context-protocol-enterprise) ### ENT-8 — Rolling Out AI to 5,000 Employees The change-management half of enterprise AI — pilot design, champion networks, enablement, measurement, and why most rollouts stall at 8% adoption. _Foundational · 5.5 hours across 8 modules · 8 modules_ [Full course design](https://ibl.ai/solutions/enterprise/course/rolling-out-ai-to-5000-employees) ### ENT-9 — Sales and Marketing Agents Without the SaaS Bill Build revenue-team agents on infrastructure you own — research, outreach, competitive briefs, and content — instead of paying per seat for four separate tools. _Intermediate · 5.5 hours across 8 modules · 8 modules_ [Full course design](https://ibl.ai/solutions/enterprise/course/sales-marketing-agents-without-saas-bill) ### ENT-10 — Build the Data Ontology Before the Agents Why AI programs stall on data rather than models — entity resolution, semantic layers, and the ontology work that has to precede agent deployment. _Advanced · 6.5 hours across 8 modules · 8 modules_ [Full course design](https://ibl.ai/solutions/enterprise/course/data-ontology-before-agents) ## Which frameworks and regulations do these courses cover? CAN-SPAM, Change management, Data governance, EU AI Act, FTC endorsement guides, GDPR, ISO 27001, ISO/IEC 42001, MITRE ATLAS, Model Context Protocol, NIST AI 600-1, NIST AI RMF, NIST CSF 2.0, NIST SP 800-53, OAuth 2.0, OWASP LLM Top 10, SOC 2, TCO analysis. ## 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 enterprise? 10 courses covering CAN-SPAM, Change management, Data governance, EU AI Act, FTC endorsement guides, GDPR and more — for example: Agentic AI for the Enterprise: From Chatbot to Workforce; RAG on Enterprise Knowledge: Architecture, Chunking, Evals; The Enterprise AI Cost Model: Per-Seat vs Token vs Owned. 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 enterprise 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 enterprise teams that cannot send work to a public AI tool. ### How much does AI training for enterprise 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 enterprise courses written for? Practitioners rather than general audiences — each course names its audience and prerequisites explicitly, and levels range across intermediate, advanced, foundational.