Professional training in London and 13 international cities info@llmi.uk

Professional training course · DIT-030

Generative AI for Engineers

Engineers can use generative AI to accelerate documentation, analysis, coding, troubleshooting and knowledge management. Safe and effective use requires understanding…

  • 5 daysClassroom
  • 13Upcoming dates
  • 13Cities
  • £2,250Fees from

Course overview

Why Attend

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 LLMI 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.

Course 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

Target Audience

Engineers in all disciplines

Maintenance and reliability engineers

Project engineers

Technical specialists

Engineering managers

Graduate engineers

Course Methodology

Hands-on labs

Engineering scenarios

Prompt workshops

Case studies

Discussions

Course outline

  1. 1Day 1: Generative AI for Engineering
    • AI basics
    • Engineering use cases
    • Limitations
    • Tools
    • Exercise: Task mapping
  2. 2Day 2: Technical Documentation
    • Specifications
    • Procedures
    • Reports
    • Standards research
    • Lab: Technical writing
  3. 3Day 3: Code and Analysis
    • Scripts and automation
    • Data analysis
    • Spreadsheet formulas
    • Code review
    • Lab: Engineering scripts
  4. 4Day 4: Troubleshooting and Knowledge
    • Troubleshooting support
    • Root cause brainstorming
    • Knowledge assistants
    • Lessons learned
    • Case study: AI in maintenance
  5. 5Day 5: Safe Use
    • Verification
    • Safety-critical decisions
    • Intellectual property
    • Policies
    • Capstone: Engineering AI workflow

Dates and fees

7DEC 7 - 11 Dec 20265 days DubaiUnited Arab Emirates £5,250+ VAT Register
4JAN 4 - 8 Jan 20275 days Cape TownSouth Africa £2,840+ VAT Register
1FEB 1 - 5 Feb 20275 days AmsterdamNetherlands £4,250+ VAT Register
1MAR 1 - 5 Mar 20275 days LondonUnited Kingdom £4,200+ VAT Register
5APR 5 - 9 Apr 20275 days IstanbulTurkey £2,850+ VAT Register
3MAY 3 - 7 May 20275 days MunichGermany £4,250+ VAT Register
7JUN 7 - 11 Jun 20275 days ParisFrance £4,500+ VAT Register
5JUL 5 - 9 Jul 20275 days FrankfurtGermany £3,250+ VAT Register
2AUG 2 - 6 Aug 20275 days Kuala LumpurMalaysia £2,250+ VAT Register
6SEP 6 - 10 Sep 20275 days RomeItaly £4,250+ VAT Register
4OCT 4 - 8 Oct 20275 days ViennaAustria £4,250+ VAT Register
1NOV 1 - 5 Nov 20275 days GenevaSwitzerland £5,250+ VAT Register
6DEC 6 - 10 Dec 20275 days MadridSpain £4,250+ VAT Register

Questions

Frequently asked questions

How long is the Generative AI for Engineers course?

The course runs over 5 days of classroom training, usually Monday to Friday.

When is the next Generative AI for Engineers course?

The next public date is 7 - 11 Dec 2026 in Dubai. There are 13 upcoming dates in total.

Where is this course held?

Upcoming sessions run in Dubai, Cape Town, Amsterdam, London, Istanbul, Munich, Paris, Frankfurt, Kuala Lumpur, Rome, Vienna, Geneva, Madrid.

How much does the course cost?

Fees start from £2,250 + VAT per delegate, depending on the city. Fees include tuition and course materials.

Do participants receive a certificate?

Yes. Delegates who complete the course receive a London Leadership Management Innovation certificate of completion.

Can this course be delivered in-house for our team?

Yes. LLMI can tailor and deliver this course privately for your organisation at your premises or in one of our training cities.

Course information last updated 14 November 2026.

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