Digital Factory Fundamentals
Master the foundational vocabulary of Industry 4.0 and the technical logic of the IIoT ecosystem.
Five modules empower you to identify high-value digital opportunities within your production environment, advance your technical literacy to eliminate cross-departmental friction, and secure your role as a strategic leader in the digital factory transition.
Start Dates
24 March 2026
24 April 2026
16 May 2026
Level
Beginner
Duration
8 hours total
2 weeks training (online/classroom Vaduz)
1 full day (on-site)
Language
English or German (customer's choise)
Course Fee
CHF 850 (online/classroom Vaduz)
CHF 1195 (on-site)
(including all materials and certificate)
Certificate
Industrial Digital Literacy (IDL)
Course Outline
By the end of the course, you will be able to navigate the complex "Smart Factory" ecosystem with professional fluency, from understanding physical sensor data to interpreting executive dashboards.
Our five-pillar curriculum deconstructs technical silos, ensuring non-technical staff and leadership can collaborate effectively with IT and Engineering teams to drive measurable ROI.
The Problem Solved
Eliminating Technical Friction. We replace the "vocabulary gap" with a standardized industrial framework. You will learn the essential technical literacy required for non-technical departments to interface with IT and Engineering with absolute precision.
Key Skills & Competencies
- Smart Factory Glossary. Mastering the essential logic of IIoT, Digital Twins, and OEE.
- Architectural Literacy. Understanding the structural layers of modern, data-driven production systems.
- Opportunity Spotting. Identifying high-value digital friction points where AI generates measurable ROI.
Course Modules
- The Anatomy of a Smart Factory. Sensors, Cloud, and Logic - complete data journey.
2. Data as the New Raw Material. How value is created digitally. Monetizing information across production cycles.
3. The "Bridge" Philosophy. Why legacy and tech must meet.
4. Case Studies. Success stories from the DACH region, and industrial ROI benchmarks.
5. Your Roadmap. First steps in the digital transition, and your individual sovereignty plan.
Learning objectives and format
By the end of the course, you will be able to master human-machine collaboration using AI-assisted tablets, wearables, and smart shop-floor interfaces.
You’ll navigate five modules covering autonomous troubleshooting, digital reporting, and safety protocols for cobots, transforming your daily role from manual execution to digital oversight.
Key Objectives
- Define the core pillars of Industry 4.0 and IIoT architecture
- Interpret the flow of data from physical sensors to cloud logic
- Evaluate "Digital Twin" models and their impact on production
- Differentiate between legacy hardware and modern smart systems
- Identify operational bottlenecks that require AI intervention
- Communicate technical requirements to IT and Engineering leads
Learning Format
- Analyze real-world data flows from leading Swiss and German facilities
- Visualize the ISA-95 pyramid and modern cloud-edge bridges
- Identify measurable "Digital ROI" within your specific department
- Test communication protocols between business and technical personas
- Draft a personalized roadmap for your departmental digital transition
- Complete the final assessment to earn your Industrial Digital Literacy certificate
Who is this course for?
Prerequisites
None. This is the entry point for technical sovereignty.
Target Audience
Department Heads, Procurement, HR, and non-technical managers who need to lead in a data-driven environment.
