Sovereign Industrial Workflow Orchestration
Master the deployment of low-code orchestration layers to connect legacy OT hardware with secure, private AI agents.
Modules provide the technical logic for n8n integration, private RAG (Retrieval-Augmented Generation) deployment, and the automation of end-to-end industrial cycles.
Start Dates
June 20 and June 27
*Corporate Team Booking - On Request
Level
Advanced
Duration
16 hours total | 2-Day Intensive
1 Day Architectural Lab
1 Day On-Site Integration
Language
English or German (customer's choise)
Course Fee
€1,350 / 1,390 CHF
*For corp teams - offers on request
Certificate
Industrial Agent Architect
Course Outline
This technical briefing addresses the "fragmentation debt" of the modern factory by architecting high-performance orchestration layers.
The curriculum focuses on Low-Code Engineering and Sovereign AI Integration, enabling IT-Operations and Lead Engineers to build "Systems of Systems" where data moves seamlessly from the shop floor to the executive dashboard.
The Problem Solved
Fragmented Data Silos & Middleware Costs. Resolution of "locked" legacy data vs. modern AI requirements. Transitioning from custom-coded, expensive integrations to flexible, open-source orchestration that ensures data sovereignty and eliminates vendor lock-in.
Key Skills & Competencies
1. Low-Code OT/IT Integration: Architecting n8n or equivalent pipelines for real-time sensor ingestion.
2. Sovereign RAG Deployment: Interfacing private LLMs with technical machine documentation.
3. E2E Logic Design: Building "Agentic Cycles" for autonomous procurement and maintenance triggers.
Course Modules
1. The Orchestration Layer: Defining the role of n8n/Make in the modern industrial stack.
2. Legacy Data Ingestion: Configuring nodes to harvest data from PLC and SCADA systems.
3. Private LLM Interfacing: Integrating open-source models for secure, on-premise intelligence.
4. Autonomous Procurement Loops: Building agents for predictive inventory and payment workflows.
5. Multi-Model Orchestration: Coordinating vision, text, and sensor agents within a single workflow.
Learning objectives and format
By the end of the course, your team will have mastered the construction of complex industrial workflows and the deployment of private RAG pipelines. The 16-hour curriculum transforms systems engineers into architects of hyper-automated, sovereign production environments.
Learning Format
- Orchestration Lab: Setup of live n8n workflows connecting PLC data to Slack/ERP
- Sovereignty Sprint: Deployment of a local Mistral/Llama model on edge hardware
- RAG Architecture Build: Construction of a technical documentation "knowledge brain"
- Hyper-Automation Test: Outage simulation to verify autonomous agent recovery logic
- Protocol Hardening: Secure encryption and tunneling of cross-platform API streams
- Pipeline Review: Collaborative audit of the facility’s 12-month automation roadmap
Who is this course for?
Prerequisites
Proficiency in industrial networking, Python basics, and IT/OT systems experience.
Target Audience
IT-Operations Managers, Systems Architects, and Lead Automation Engineers.
