Business fields · Engineering
AI training for Engineers
Engineers in design, development, plant engineering and technical planning spend much of their time on research, documentation, coordination and calculations. Generative AI can reduce that share considerably: AI assistants summarise standards and technical literature, structure requirement and design specifications, support requirements analysis, generate calculation scripts in Python or spreadsheets and produce technical documentation and reports. Automation helps with change management, comparing document revisions and analysing test and measurement data. Creative problem-solving, plausibility checks and responsibility for technical safety remain with the experts. Using AI for routine work and as a sparring partner frees time for real engineering: developing concepts, evaluating variants and delivering robust solutions.
Who is this course for?
- Design and development engineers
- Project engineers in plant and machine building
- Test and validation engineers
- Technical writers
- Engineers in planning and engineering consultancies
Typical challenges we address
- Evaluating extensive standards, guidelines and requirements efficiently
- Producing technical documentation and reports alongside development work
- Analysing and interpreting test and measurement data quickly
- Managing changes traceably across many documents and stakeholders
Practical scenarios from your field
Structuring requirements
An AI assistant analyses customer requirements and specifications, spots contradictions, gaps and vague wording and turns them into a structured, verifiable requirements list for the design specification.
Standards and literature review
AI summarises relevant sections of standards, guidelines and technical papers, creates comparison tables and checklists and references the passages, which engineers check in the original.
Calculation scripts
Instead of coding formulas by hand, describe the calculation and receive a commented Python script or spreadsheet, for example for sizing, tolerance stack-ups or unit conversions, ready for testing and validation.
Test data analysis
Test bench data is cleaned, statistically analysed and visualised using AI-generated analysis code, anomalies are flagged and a draft test report is created.
Technical documentation
Design data, notes and previous documents are turned into drafts of operating manuals, maintenance handbooks, specifications and project reports with consistent terminology.
Change management support
AI compares document revisions, summarises technical changes clearly, identifies affected documents and interfaces and prepares change requests for the change board.
Possible hands-on projects
Sizing calculator
A web app for a recurring design calculation, such as bolted joints or pipe cross-sections, with an input form, result checks and PDF export.
Measurement data viewer
An internal tool that imports measurement files, filters channels, overlays limit values and generates charts for test reports.
Requirements tracker
A small application that links requirements to status, owners and evidence and shows coverage by tests, highlighting untested requirements.
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Data protection & compliance
Design data, drawings and development results are trade secrets and may be subject to export control; they belong only in approved AI environments. Product safety and liability law apply unchanged to safety-related designs, so AI output must be verified and documented traceably.
Prerequisites
You have an engineering or technical background and work in development, design, planning or testing.
Frequently asked questions
Can I use AI calculations for safety-related designs?
Only as support with full verification. Language models can get formulas, units or standard values wrong. Have calculation steps output as traceable code or formulas, check them against standards, hand calculations or validated software and document the check. Responsibility remains with you.
How do we protect design data?
Use only approved enterprise environments where inputs are not used for training. Also observe export control rules, for example for dual-use technologies, and agree with IT and export control which information may go into which tools. We discuss practical rules in the course.
Request without obligation
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