Platform Architecture
Understand how ARGUS is structured—data layer, integration framework, agent runtime, and administration. Hands‑on with your own deployment.
Services
Hands‑on training for engineering and operations teams ready to develop their own AI applications on the ARGUS platform. Your data. Your capability.
What You Learn
Training covers the full development lifecycle on ARGUS—from connecting your data sources to deploying AI agents that automate real workflows.
Understand how ARGUS is structured—data layer, integration framework, agent runtime, and administration. Hands‑on with your own deployment.
Connect ERP, CRM, MES, historians, and legacy systems into a unified operational data layer. Learn the connectors, data mapping, and validation workflows.
Build, test, and deploy mission‑specific AI agents. Covers agent design patterns, prompt engineering for operational data, and production deployment best practices.
Who It’s For
Software and data engineers who will build and maintain AI applications on ARGUS. The primary hands‑on audience.
IT teams responsible for deploying, securing, and administering the on‑premises ARGUS platform and its integrations.
Managers and directors who need to understand ARGUS capabilities to identify high‑value applications in their workflows.
How It Works
Training delivered at your facility or remotely. Structured sessions scheduled around your team’s availability.
Training exercises use your actual data and infrastructure—not generic demos. What you build in training is production‑ready.
Documentation, reference architectures, and direct engineering support after training. Your team doesn’t get stuck after the session ends.
Your team learns to build, deploy, and maintain AI applications—so the capability stays in‑house, not outsourced.
Tell us about your team and your goals. We’ll design a training engagement that fits your timeline and skill level.
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