Global Learning for Operational Leaders
Classroom
14 sessions
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Online / Live
14 sessions
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Introduction
Course overview
Engineers can use generative AI to accelerate documentation, analysis, coding, troubleshooting and knowledge management. Safe and effective use requires understanding where AI is reliable and where engineering judgement is essential.
This Aractech course covers generative AI applications in engineering: technical writing and specifications, code and scripts, data analysis, troubleshooting support, standards research, knowledge assistants and safety considerations. Participants complete hands-on engineering tasks with AI tools.
What you will achieve
Learning objectives
- Explain generative AI capabilities for engineering
- Use AI to produce technical documents and specifications
- Generate and review code and scripts
- Support analysis and troubleshooting with AI
- Build engineering knowledge assistants
- Manage safety, accuracy and IP risks
Who should attend
Target audience
- Engineers in all disciplines
- Maintenance and reliability engineers
- Project engineers
- Technical specialists
- Engineering managers
- Graduate engineers
Methodology
Learning approach
- Hands-on labs
- Engineering scenarios
- Prompt workshops
- Case studies
- Discussions
Complete course outline
Five focused days of learning and application
The timings provided are estimates and may vary depending on the number of participants and the discussions taking place during the sessions. They are indicative only and do not constitute a binding commitment.
Day 1
Generative AI for Engineering
- AI basics
- Engineering use cases
- Limitations
- Coffee break
- Limitations (continued)
- Tools
- Exercise: Task mapping
Day 2
Technical Documentation
- Specifications
- Procedures
- Reports
- Coffee break
- Reports (continued)
- Standards research
- Lab: Technical writing
Day 3
Code and Analysis
- Scripts and automation
- Data analysis
- Spreadsheet formulas
- Coffee break
- Spreadsheet formulas (continued)
- Code review
- Lab: Engineering scripts
Day 4
Troubleshooting and Knowledge
- Troubleshooting support
- Root cause brainstorming
- Knowledge assistants
- Coffee break
- Knowledge assistants (continued)
- Lessons learned
- Case study: AI in maintenance
Day 5
Safe Use
- Verification
- Safety-critical decisions
- Intellectual property
- Coffee break
- Intellectual property (continued)
- Policies
- Capstone: Engineering AI workflow
FAQ
Frequently asked questions
What does Generative AI for Engineers (DIT-030) cover?
This course covers Digital Innovation and Transformation through a structured five-day outline focused on practical application, discussion, and implementation planning.
When is the next available session?
The next scheduled session starts on 2 - 6 November 2026. See the course schedules section for the available dates and delivery formats.
Who should attend this course?
Engineers in all disciplines, Maintenance and reliability engineers, Project engineers
Is bilingual course delivery available?
Yes. All course materials and presentations are provided in English, while bilingual explanation and discussion support may be available depending on the selected location and trainer availability. For example, when attending a course in Istanbul, you may request a Turkish-speaking trainer to explain the English course content in Turkish. Arabic explanation support may also be requested at this location. Other languages are available in selected cities. You can choose your preferred language support as an optional preference during registration.
How can I register for a session?
Use any Register button next to the available course dates to open the participant registration page and submit your booking request for the selected session.
Is this course available online as well as classroom-based?
Check the course schedules section for currently published classroom and Online / Live sessions.
Where are classroom sessions delivered?
Current classroom venues include Barcelona, Dubai, Cape Town, Amsterdam, London, Istanbul, Munich, Paris, Frankfurt, Kuala lumpur, Rome, Vienna, Geneva, Madrid.
How long is the training programme?
The programme runs for five days from 09:00 to 14:00, which gives 25 contact hours, including a daily 30-minute break (22.5 hours of instruction).
Quick request
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Choose an available date and venue, add your participants, and we will email a formal quotation for Generative AI for Engineers to your business address.