Cloud & Edge Computing for Industry
Configure hybrid infrastructures to maintain real-time data localism while utilizing cloud-based computational intelligence.
Modules provide the technical logic for Edge Gateway configuration, secure data tunneling, and the protection of technical sovereignty against vendor lock-in and cyber-vulnerabilities.
Start Dates
On Request
*Corporate Team Booking Only
Level
Advanced
Duration
16 hours total | 2-Day Intensive
1 Day Infrastructure Design
1 Day On-site Security & Scale
Language
English or German (customer's choise)
Course Fee
On Request
*Project-based calculation
Certificate
Industrial Cloud & Edge Architect
Course Outline
This technical briefing addresses the latency-security requirements of the modern factory by architecting high-performance "Bridge" infrastructures.
The curriculum focuses on Edge Gateway configuration and Sovereign Cloud strategy, enabling IT Managers to implement nFADP-compliant environments where raw data remains on-premise for millisecond response times while strategic processing occurs via secure, private cloud tunnels.
The Problem Solved
Latency & Security Optimization. Resolution of real-time speed vs. data security constraints. Maintaining raw data on-premise for millisecond response while utilizing private cloud intelligence for strategic modeling.
Key Skills & Competencies
1. Edge Computing Configuration: Real-time data processing at the physical machine level.
2. Sovereign Cloud Strategy: Building private infrastructure to eliminate external dependencies.
3. Secure Data Tunneling: Transfer of insights instead of raw data volumes.
Course Modules
1. Edge vs. Cloud Allocation: Defining optimal data processing locations.
2. Sovereign Infrastructure: Configuring private data tunnels to avoid vendor lock-in.
3. Cyber-Resilient Data Flows: Hardening the OT/IT bridge against external threats.
4. Latency Management: Real-time AI processing for high-speed production lines.
5. Scalable Industrial IT: Management of multi-site and global data mesh architectures.
Learning objectives and format
By the end of the course, your team will have mastered the configuration of edge-to-cloud pipelines and the implementation of cyber-resilient data flows. The 16-hour curriculum covers latency management, infrastructure sovereignty, and scalable IT architecture to transform hardware silos into a unified data engine.
Key Objectives
- Differentiate between Edge and Cloud logic for specific industrial requirements
- Configure Edge Gateways for real-time machine data processing (<5ms)
- Architect Private Cloud environments to mitigate technical vendor dependencies
- Implement data tunneling that transfers high-level insights rather than raw datasets
- Establish nFADP-compliant data residency protocols for all production IP
- Design scalable IT architectures for cross-border and multi-site factory fleets
Learning Format
- Latency Simulation: Measuring and optimizing processing speeds across architectures
- Sovereignty Lab: Setup of private, non-SaaS cloud infrastructure on local hardware
- Cyber-Resilience Stress-Test: Outage simulation to verify local edge-autonomy
- Tunneling Workshop: Secure encryption of data streams from machine to dashboard
- Roadmap Review: Collaborative drafting of the facility’s 5-year technical infrastructure plan
Who is this course for?
Prerequisites
Industrial networking and IT/OT infrastructure experience.
Target Audience
Industrial IT Managers, Lead Systems Engineers, and CISOs.
