Corporate Training

NeMo Claw & OpenClaw training for teams

Autonomous agents like OpenClaw can run real work across your org — email triage, code review, ops workflows, and more. But only safely if they're governed. We train your team to deploy and run them the NVIDIA NeMo Claw way: sandboxed inside OpenShell, policy-controlled, and observable from day one.

Who it's for

IT leads, platform and engineering teams, and security-conscious organizations in regulated or data-sensitive industries — including insurance agencies, financial firms, and other enterprises where the question isn't whether to run autonomous agents, but how to do it without the risk. If you're evaluating OpenClaw-class agents and need your team to understand the governance layer before you deploy, this training is designed for you.

What your team will learn

  • What OpenClaw-class agents can actually do across an org — and where autonomous action is appropriate vs. where a human needs to stay in the loop.
  • How NVIDIA NeMo Claw structures governed deployment: always-on autonomous agents run safely inside OpenShell sandboxes with runtime controls.
  • Policy-based egress controls — blocking unknown hosts by default, so agents can't reach destinations your security team hasn't approved.
  • Model routing: when to run local Nemotron models for sensitive data, when to route to frontier models, and how to configure that decision.
  • Observability and oversight: what to monitor, how to audit agent actions, and how to design a rollout that lets you course-correct before it matters.
  • A safe rollout pattern — starting narrow, verifying behavior, and expanding scope only when the governance layer is confirmed working.

Looking for training on a different autonomous agent? See our Hermes Agent training →

Formats

Every NeMo Claw training engagement is scoped to your team and goals. Pick the format that fits — or combine them.

Hands-on workshop

Half- or full-day, live, working through your team's real documents and use cases.

Multi-week team cohort

A guided program over several weeks, with practice and feedback between sessions so habits stick.

Executive / leadership briefing

A focused session for leaders: where Copilot pays off, the real risks, and how to lead adoption.

Ongoing enablement

Office hours and adoption coaching after the training, so usage keeps climbing.

How it works

1 · Assess

Find the wins

We map your tools and workflows and pinpoint where Copilot will actually move the needle.

2 · Train

Hands-on, on your work

Live sessions on your real documents and tasks, in the format that fits your team.

3 · Adopt

Make it stick

A rollout plan, a prompt library, and office hours so adoption holds after we leave.

Why train with us

We're an engineer-led AI agency — we build and ship production AI systems, we don't just teach slides. Your team learns from people who use these tools for real work every day, with the data-safety and governance instincts most trainers skip. Led by Josh Cruz, who has shipped production AI under real governance (SOC 2, human-in-the-loop) across fintech and insurance.

Frequently asked questions

What is NeMo Claw / OpenClaw training?
Hands-on, engineer-led training that prepares your team to deploy and govern autonomous AI agents using NVIDIA NeMo Claw and OpenClaw. OpenClaw is an open-source, locally-run autonomous agent that can act across a computer and applications — running email triage, code review, ops workflows, and more. NVIDIA NeMo Claw provides the governance framework for taking those agents from prototype to production: sandboxed execution in OpenShell, policy-based egress, model routing, and observability. This training covers both layers so your team can deploy safely.
Who should attend?
IT leads, platform and engineering teams, and security or compliance stakeholders at organizations evaluating autonomous agents in regulated or data-sensitive environments — including insurance agencies, financial firms, and enterprises that need governance baked in from the start, not bolted on after.
Is it safe to run autonomous agents on company or regulated data?
NVIDIA NeMo Claw is specifically designed to make autonomous agents safer to operate: agents run inside OpenShell sandboxes with runtime controls, egress policy blocks unknown hosts by default, and full observability lets you audit what agents did and when. That said, governance tooling reduces risk — it does not eliminate it. We recommend confirming your specific deployment with your security and compliance team before moving agents into production on regulated data.
What formats do you offer?
Hands-on workshops, multi-week team cohorts, executive/leadership briefings, and ongoing enablement (office hours and adoption coaching). We scope each engagement to your team.
How much does it cost?
Pricing is custom to your team size, format, and goals. Request a quote and we'll scope it with you.
Corporate Training

Deploy autonomous agents safely — not just fast.

Tell us your team size and goals — we'll scope a workshop, cohort, or briefing and send you a quote.

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