Training Catalogue

1. Industry 4.0: The Theoretical Business Case

• Coping with industrial complexity and the "Digital Information Overload" in production
• Translating technical potential into measurable ROI and business growth frameworks
• Avoiding typical traps when moving from legacy systems to modernized environments
• Formulating realistic automation goals within an agile manufacturing landscape

2. Architecting the Smart Factory: Full Automation Logic

• Bridging the gap between the shop floor (OT) and the cloud (IT) conceptually
• Mapping full automation workflows from sensor logic to executive dashboards
• Selecting the right "Sovereign Tech Stack" to ensure long-term digital independence
• Gaining a 360-degree overview of tasks, machine health, and production timelines

3. Sector-Specific Labs: Food, Metal, and Pharma Use Cases

• Food & Beverage: Analyzing batch consistency and hygiene-compliant AI logic
• Metal & HVAC: Exploring predictive maintenance and energy orchestration models
• MedTech & Pharma: Studying traceability and high-stakes regulatory documentation flows

4. OEE Optimization & Agentic Workflows

• Moving from reactive fixes to autonomous "Agentic" process optimization models
• Eliminating manual friction in production reporting and quality control
• Scaling operations through digital workers rather than increased headcount
• Refining work methods to ensure long-term system stability and performance

• Operational Visibility: Real-time tracking of OEE across multiple production lines, eliminating "blind spots" in your manufacturing.
• Waste Reduction: AI-driven optimization of raw material usage, directly impacting the bottom line in high-cost environments.
• Technical Sovereignty: The ability to architect and manage your own internal industrial automation roadmap, ensuring sustainable digital independence.

• Operations Leads & Production Managers in Food, Metal, and Pharma sectors.
• AI Professionals & Data Engineers seeking practical industrial application logic.
• SME Owners looking to scale through automation and modern technical leadership.

• BYOD (Bring Your Own Device): Laptop required for the live architecture lab.
• Context: No coding knowledge required; we use business logic as the "code" for industrial orchestration.

This workshop is led by an experienced trainer, AI practitioner, and Data Engineer with a Master of Science in Business & Analytics. An expert in Industry 4.0 and Smart Factory solutions, he has directed complex IoT and production projects across the food, manufacturing, and medical sectors. With deep expertise in machinery and software application engineering, the trainer focuses on the technical architecture and practical industrial deployment of AI solutions.

1. The 2026 Skills Audit & Intelligence Toolbox

• Moving beyond basic chatbot usage toward professional "Decision Intelligence."
• Mastering advanced prompting techniques to solve multi-step professional tasks.
• Establishing self-guided training habits to stay ahead of weekly technology shifts.
• Strengthening the "Human Edge" — the soft skills that grow in value as AI scales.

2. Identifying Your "AI-Proof" Career Pivot

• Analyzing augmented vs. automated roles to find your "pivot sweet spot."
• Navigating horizontal and vertical scaling to accelerate seniority or shift domains.
• Mapping domain expertise and judgment to form your unique value proposition.
• Live exercise: Identifying the specific high-value tasks only you can oversee.

3. The AI-Native Asset Kit: CV, Portfolio & Interview

• Optimizing CVs with "Metric-Driven Achievement Statements" for modern ATS algorithms.
• Building a "Proof of Work" dashboard to document and demonstrate AI competency.
• Leveraging LLMs as sparring partners for interview prep and salary premium negotiations.
• Connecting with local AI communities in the DACH region for long-term career support.

• Personal Career Roadmap: A draft of your tailored 12-month plan for AI-native career transition or promotion.
• Strategic Expert Insights: Direct access to the frameworks and intelligence toolboxes used by industry practitioners.
• Local Market Advantage: Tailored advice for the DACH region, including specific networking hubs and hiring trends.

Career Shifters: Individuals looking to transition into tech/AI or integrate AI into their current field.

Upskillers: Professionals aiming to automate "grunt work" and focus on high-value, promotion-ready tasks.

Career Starters/Re-entrants: Junior professionals or those with career gaps looking to bypass traditional experience filters through demonstrated AI fluency.

• BYOD (Bring Your Own Device): Laptop required for the live architecture lab.
• Context: No coding knowledge required; we use business logic as the "code" for industrial orchestration.

This workshop is led by a duo of experts who bridge the gap between high-level industrial architecture and strategic career evolution.

An experienced trainer, AI practitioner, and Data Engineer with a Master of Science in Business & Analytics. An expert in Industry 4.0 and Smart Factory solutions, he has directed complex IoT and production projects across the food, manufacturing, and medical sectors. With deep expertise in machinery and software application engineering, the trainer focuses on the technical architecture and practical industrial deployment of AI solutions.

A former Fortune 500 executive leader with a 10+ year track record in the automotive, chemical, and banking sectors. An expert in Strategic Leadership and Agile, she specializes in upskilling career shifters—empowering professionals to synthesize legacy experience into future-ready skillsets. Having conducted 1000+ interviews, the trainer provides the insider HR perspective necessary to align professional growth with technological evolution.