AI Project Management for Engineers
Master the strategic implementation of Industrial AI and the "Industrial Agile" logic required to lead seamless digital transitions.
Ten modules empower you to navigate the AI lifecycle from concept to scale, architect high-ROI pilot projects without disrupting 24/7 production, and secure your facility’s move beyond "Pilot Purgatory" into standard operation.
Start Dates
23 March 2026
23 April 2026
25 May 2026
Level
Intermediate
Duration
16 hours total
4 weeks training (online/classroom Vaduz)
2 full days (on-site)
Language
English or German (customer's choise)
Course Fee
CHF 1850 (online/classroom Vaduz)
CHF 2450 (on-site)
(including all materials and certificate)
Certificate
Industrial AI Project Lead (Level I)
Course Outline
This 16-hour professional certification provides the complete framework for leading high-stakes AI transitions within the constraints of 24/7 physical shop-floor realities.
The extended curriculum focuses on "Industrial Agile" methodology, advanced IIoT/OT integration, vendor sovereignty audits, and complex milestone planning to ensure digital value is delivered without production downtime or software vendor lock-in.
The Problem Solved
Escaping Pilot Purgatory. We resolve the risk of failed proof-of-concepts through structured execution frameworks. We provide the methodology required to lead AI transitions without production downtime or software vendor lock-in.
Key Skills & Competencies
1. AI Vendor Evaluation: Auditing "Black-Box" risks and data sovereignty.
2. IIoT/OT Strategic Mapping: Designing the "Data-to-Value" bridge.
3. Change Management: Bridging the communication gap between IT and "Blue-Collar" teams.
Course Modules
1. The Industrial AI Lifecycle.
2. Scoping the ROI & Business Case.
3. The Smart Factory Architecture.
4. Digital Twin Logic & Strategy.
5. Vendor Sovereignty Audits.
6. Implementation Sprints (Day 2).
7. Human-in-the-Loop Integration.
8. Scaling Success (SOPs).
9. Risk & Compliance (AI Act).
10. The Industrial AI Roadmap.
Learning objectives and format
By the end of the course, you will be able to master the Industrial AI lifecycle and the strategic selection of sovereign technology partners.
You’ll navigate ten modules covering ROI scoping, implementation sprints, and scaling strategies, transforming fragmented digital ideas into a robust, factory-wide operating procedure.
Key Objectives
- Define the complete lifecycle of an industrial-grade AI project from R&D to 24/7 Production
- Calculate multi-dimensional ROI (OEE, Energy, Labor) before committing technical resources
- Audit AI vendors based on Technical Sovereignty, API openness, and "Black-Box" risks
- Apply "Industrial Agile" methods to deliver value in production increments without downtime
- Coordinate the integration of IIoT sensors with legacy PLC and ERP environments
- Architect a scaling roadmap to move from a single pilot to standardized global SOPs
Learning Format
- Case Study Deep-Dives: Analyze successful and failed AI pilots from the DACH manufacturing sector
- Architecture Design Labs: Visualize the "Industrial Agile" framework for non-disruptive deployment
- ROI Modeling Workshops: Identify high-impact AI use cases and build the financial business case
- Vendor Scorecard Exercise: Draft a sovereignty-focused evaluation for current software partners
- Simulation Stress-Testing: Test project milestones against 24/7 production constraints and KPIs
- Certification Capstone: Complete the final assessment to earn your Industrial AI Project Lead certificate
The 2-Day Curriculum
Day 1: Strategy & Architecture
- The Industrial AI Lifecycle
- Scoping the ROI
- Smart Factory Architecture
- Digital Twin Strategy
- Vendor Sovereignty Audits
Day 2: Execution & Scale
6. Implementation Sprints
7. OT/IT Integration
8. Human-in-the-Loop
9. Scaling Success
10. The Final Roadmap
Who is this course for?
Prerequisites
Understanding of basic factory operations. Completion of Digital Factory Fundamentals is strongly recommended.
Target Audience
Project Leads, Process Engineers, Technical PMs, and Department Heads leading digital transformation initiatives.
