Enterprise AI Engineering Bootcamps
Enterprise AI engineering bootcamps
AI Guru runs hands-on AI engineering bootcamps for enterprise teams — production-grade RAG, agents, and evaluation built on the SHIP Loop methodology and 20 production AI deployments, taught by the engineers who built them.
20 products in production · SHIP Loop™ methodology · 200,000+ trained
Your engineers leave production-ready — not certificate-ready.
Most AI courses stop at concepts and demos. Our bootcamps put your engineering team through production-grade agentic development on real problems — ideally your own codebase — using the SHIP Loop™ methodology built from 20 shipped AI systems. They leave shipping, not just understanding.
Delivery
How it’s delivered
Hands-on, codebase-native
Built around your stack and, where possible, your own repository — so what your engineers build in the room is production-relevant on day one.
Onsite, virtual, or intensive
1-day to 5-day formats, delivered onsite, live virtual, or as a focused bootcamp, for up to ~30 engineers per cohort.
Methodology that outlives models
The SHIP Loop™ — Scope, Harness, Iterate, Promote — is model-agnostic, so the discipline survives the next model release instead of aging with a single tool.
Procurement
Built for how enterprises buy
- Scoped per cohort (up to ~30 engineers); standard enterprise terms
- Curriculum tailored to your stack, models, and codebase
- Production-grade coverage: RAG, agents, evals, guardrails, cost control
- Custom skills, hooks, and eval frameworks your team keeps
- Paid pilot cohort available before scaling across engineering
Regulation
Aligned to the frameworks that matter
Security & guardrails
Permissions, cost, and compliance posture built in
Eval discipline
Evals that run on a schedule, not just at build time
ISO 42001 / NIST AI RMF
Engineering practices that map to governance
FAQ
Common questions
What makes this different from an online AI engineering course?
It's live, hands-on, and built around your codebase — not pre-recorded video. Your engineers work through production-grade RAG, agents, and evals with the practitioners who shipped 20 AI systems, and leave with skills, eval frameworks, and patterns they keep.
What is the SHIP Loop™?
AI Guru's model-agnostic methodology for production-grade agentic development — Scope, Harness, Iterate, Promote. It's the backbone of the bootcamp and is designed to survive model releases, so the discipline outlasts any single tool.
How big is a cohort and how long is it?
Formats run from 1 to 5 days for up to about 30 engineers per cohort, delivered onsite, live virtual, or as an intensive bootcamp.
Can you use our own codebase?
Yes — that's the point. Where your security posture allows, we build the bootcamp around your stack and repository so the work is production-relevant, not a toy example.
What does it cost?
Scoped per cohort, not per seat. USD invoicing (GBP/EUR on request), standard enterprise terms (MSA, SOW, NET-30). Volume discounts for multi-cohort programs, and a paid pilot cohort is available before you commit to scale.
Request a proposal.
Tell us your team, your goals, and your timeline. We respond within 24 hours with a real plan — not a sales pitch.