Industrial Prompt Engineering
Master the interface of human engineering and Artificial Intelligence to transform generic language models into high-precision technical assistants. Five modules empower you to build a surgical prompt library, steer LLMs using rigid DIN/ISO standards, and secure your facility’s documentation against AI hallucinations and technical inaccuracies.
Start Dates
23 March 2026
23 April 2026
25 May 2026
Level
Intermediate
Duration
16 hours total
2 full days (on-site)
Language
English or German (customer's choise)
Course Fee
CHF 2450 (on-site)
(including all materials and certificate)
Certificate
Industrial AI Prompt Engineer
Course Outline
This deep-dive workshop resolves the failure of generic AI tools to meet the demands of technical precision in manufacturing.
The curriculum focuses on context grounding and prompt chaining, enabling engineers and quality leads to utilize Large Language Models (LLMs) as reliable assistants for troubleshooting and documentation while strictly adhering to international engineering standards and internal machinery logs.
The Problem Solved
Solving AI Hallucination. We resolve the risk of factual errors in technical documentation. You will learn the "Surgical Prompting" framework required to steer AI using rigid engineering schematics and regulatory data for 100% reliable outputs.
Key Skills & Competencies
1. Context Grounding: Feeding AI DIN/ISO standards and machinery logs safely.
2. Zero-Hallucination Prompting: Techniques for extracting factual engineering data.
3. Prompt Chaining: Linking multiple AI steps for complex technical workflows.
Course Modules
1. The Engineering Persona: AI as a specialist. Setting professional context for industrial tasks.
2. Technical Schematics Ingestion: Reading blueprints. How AI interprets complex logs and drawings.
3. ISO/DIN Standard Integration: Regulatory grounding. Aligning AI outputs with industrial law.
4. Prompt Libraries: Reusable templates. Building a technical repository for your niche.
5. Validation Loops: Accuracy checks. Architecting automated verification for AI data.
Learning objectives and format
By the end of the course, you will be able to master the construction of complex industrial prompt chains and the validation of AI-generated technical content.
You’ll navigate ten modules covering persona setting, schematic ingestion, and regulatory grounding, transforming Large Language Models into a specialized "Digital Engineer" within your facility.
Key Objectives
- Architect specialized "Engineering Personas" to ensure AI maintains technical authority
- Implement Context Grounding to prevent AI hallucinations using DIN, ISO, and machinery logs
- Execute Zero-Hallucination Prompting to retrieve 100% factual data from unstructured sources
- Design "Prompt Chains" to automate complex, multi-step troubleshooting procedures
- Engineer a reusable Prompt Library tailored to your specific industrial niche and machinery
- Apply Automated Validation Loops to cross-check AI outputs for engineering accuracy
Learning Format
- Technical Manual Analysis: Analyze LLM behavior when presented with complex machinery manuals
- Architecture Mapping: Visualize the difference between "Generic" and "Industrial" prompting
- Surgical Lab (3 hours): Draft and test surgical prompt chains for specific technical failure scenarios
- Validation Sandbox (3 hours): Test AI outputs against rigid engineering standards and ISO logs
- Protocol Simulation: Test prompt chains against real-world operational disruptions and scale
- Certification Capstone: Complete the final assessment to get certificate
The 2-Day Curriculum
Day 1: Precision & Grounding
- The Engineering Persona
- Technical Schematics Ingestion
- ISO/DIN Standard Integration
- Zero-Hallucination Logic
- Practical Lab I (3h)
Day 2: Execution & Scale
6. Advanced Prompt Chaining
7. RAG (Retrieval) Fundamentals
8. Automated Validation Loops
9. Practical Lab II (3h)
10. The Surgical Prompt Library
Who is this course for?
Prerequisites
Proficiency with technical documentation. Completion of Digital Factory Fundamentals is highly recommended.
Target Audience
Manufacturing Engineers, Quality Leads, Documentation Specialists, and Technical Support Leads responsible for precision communication.
