Industrial AI Mastery
Build the specific technical and strategic competencies required to lead, operate, and secure the next generation of sovereign industrial environments. Modules provide the strategic logic for agentic workflow orchestration, ROI-driven implementation, and the transformation of legacy production into autonomous "Human-in-the-Loop" systems.
Start Dates
26 March 2026
14 April 2026
12 May 2026
Level
Intermediate
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 950 (online/classroom Vaduz)
CHF 1295 (on-site)
(including all materials and certificate)
Certificate
Industrial Digital Literacy (IDL)
Course Outline
This soft-skill intensive addresses the "pilot theater" stagnation of the modern factory by architecting high-impact implementation roadmaps.
The curriculum focuses on Agentic Strategy and Sovereign Leadership, enabling Technical Leads to move from "Manual Execution" to "Digital Oversight" in environments where AI acts as a reliable partner to human expertise.
The Problem Solved
Strategic Implementation Gap. Resolution of experimental "buzzword" projects vs. measurable shopfloor value. Transitioning from fragmented legacy data to a unified "Sovereignty Roadmap" that ensures long-term resilience without reliance on high-cost external consultants.
Key Skills & Competencies
1. Agentic Workflow Orchestration: Designing end-to-end loops that connect shopfloor data to actions.
2. Strategic Problem Framing: Identifying bottlenecks suitable for AI-augmented troubleshooting.
3. Sovereign Implementation Logic: Navigating the requirements of industrial landscape.
Course Modules
1. Beyond Pilot Theater: Moving from experimental AI to scalable, value-driven production assets.
2. Agentic Workflow Strategy: Architecting goal-oriented systems that adapt to real-time machines.
3. The Sovereignty Roadmap: Building private, local AI infrastructures to maintain data independence.
4. Industrial ROI Calculation: Mastering the metrics of downtime reduction and manual time savings.
5. Scaling Autonomous Systems: Management of cross-functional teams vs. "Human-in-the-Loop".
Learning objectives and format
By the end of the course, your team will have mastered the orchestration of agentic frameworks and the implementation of a 12-month sovereignty roadmap.
The 8-hour curriculum covers strategic problem framing, ROI calculation, and autonomous leadership to transform hardware experts into masters of the digital factory.
Key Objectives
- Identify scalable ROI vs. experimental "Pilot Theater"
- Orchestrate agentic workflows for autonomous production scheduling
- Architect 12-month roadmaps for technical data sovereignty
- Apply strategic framing to high-impact shopfloor bottlenecks
- Establish oversight protocols for human-centric AI environments
- Design business cases for downtime and energy gains
Learning Format
- ROI Simulation: Optimize financial impact of AI workflows
- Strategy Lab: Design autonomous shopfloor agent orchestration
- Sovereignty Workshop: Map private AI cloud migration paths
- Implementation Sprint: Draft 90-day pilot-to-production execution plans
- Leadership Review: Develop 2-year autonomous workforce strategies
- Framing Workshop: Categorize shopfloor bottlenecks for AI suitability
Who is this course for?
Prerequisites
Industrial engineering background and foundational knowledge of Digital Factory Fundamentals.
Target Audience
Technical Leads, Plant Managers, and COOs navigating the transition to data-driven oversight.
