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AI for engineers

Understand AI principles and how you can apply AI to solve complex engineering problems.

2 days

Next available:

Members: £1,095 + VAT
Non-members: £1,350 + VAT
New for 2023

I truly believe AI will have a significant positive impact on the economy when applied to mechanical engineering fields. With this course, we strive to make the path to its adoption clearer to participants.

- Ali Parandeh - Lead trainer

Course Location & Date
AI for engineers
Members:
£1,095.00 Plus vat
Non Members:
£1,350.00 Plus vat
Book now

Summary

Understand AI principles and how you can apply AI to solve complex engineering problems.

With the introduction of AI large language models such as ChatGPT, companies are now looking into boosting their productivity and lowering costs by building and utilising their own AI tools.

In such a fast-moving and complex field, engineers face the challenge of understanding the AI landscape within engineering applications, ethical considerations, AI project scoping, and the identification of AI use cases in engineering workflows.

This course will tackle this challenge by introducing a big picture map of the field and by providing an intuitive understanding of how AI works.

By the end of the course, you will feel confident in how to start scoping, planning, and considering AI tools within your workplace to increase productivity and decrease repetitive tasks.

Who should attend?

Design engineers, project managers and technical leads who have responsibility for innovation and implementing improvement processes in the organisation. 

How will I benefit?

After the course you will be able to:

  • Improve your understanding of the AI landscape within engineering applications.
  • Increase your awareness of the ethical considerations surrounding AI 
  • Enhance your ability to scope AI projects 
  • Better identify the use-cases for AI in your engineering workflows 
  • Obtain comprehensive understanding of how AI works 
  • Obtain knowledge of the latest developments in AI and their potential impact on engineering 
  • Learn how to build your own AI models with a no-code graphical tool such as Microsoft Azure Machine Learning Designer
  • Improve your ability to communicate business case and pitch AI projects to clients and stakeholders
  • Access to networking opportunities with other professionals interested in AI in engineering 
  • Access to expert instructors who can provide guidance and answer questions
Contributes 14 CPD hours

Key topics

  • Understanding the AI landscape within engineering applications 
  • Building and utilising own AI models with no-code tools
  • Ethical considerations in AI 
  • Scoping AI projects with SCRUM project management methodology
  • Understanding the cutting-edge AI technologies and techniques (Large Language
  • Models, YOLO, Reinforcement Learning)
  • Identifying use-cases for utilising AI in engineering workflows 
  • Providing intuitive understanding of how AI works

Mapped against UK- SPEC competencies: E, B and A

  1. Professional commitment - For Incorporated and Chartered Engineers: ‘Demonstrate a personal commitment to professional standards, recognising obligations to society, the profession and the environment’
  2. Design and development of processes, systems, services and products - For Chartered Engineers: ‘Apply appropriate theoretical and practical methods to the analysis and solution of mechanical engineering problems’ For Incorporated Engineers ‘Apply appropriate theoretical and practical methods to design, develop, manufacture, construct commission, operate, maintain, decommission and re-cycle mechanical engineering processes, systems, services and products’
  3. Knowledge and understanding - For Chartered Engineers: ‘Use a combination of general and specialist engineering knowledge and understanding to optimize the application of existing and emerging technology’ For Incorporated Engineers: ‘Use a combination of general and specialist mechanical engineering knowledge and understanding to apply existing and emerging technology’

Meet our trainers

These trainers regularly teach AI for engineers.

  • OMD_9238

    Ali Parandeh CEng

    Ali Parandeh started his career as a mechanical engineering consultant at a large multinational consultancy. Once becoming a Chartered Engineer (CEng) member of the IMechE, he switched careers into building AI powered products and data analytic solutions.

In-house and bespoke training

Tell us your team's CPD needs and we'll come to you with a specialised training programme, customised for your engineering sector.
Contact our advisors if you need help finding the most appropriate training for your team.

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At a glance

  • Duration:
    2 days
  • Location:
    London, Manchester
  • CPD Hours:
    14
  • UK-Spec:
    E, B, A

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Available dates for AI for engineers

2 day course

London
5-6 Dec 2024
London
11-12 Feb 2025 10% discount available until 11 December
London
14-15 Apr 2025 10% discount available until 14 February
Manchester
8-9 May 2025 10% discount available until 8 March
London
29-30 Jul 2025 10% discount available until 29 May
London
14-15 Oct 2025 10% discount available until 14 August
Manchester
18-19 Nov 2025 10% discount available until 18 September

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Non-members: £1,350 +VAT

New for 2023

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Some of the companies we've worked with

  • Alten
  • AMH Material Handling
  • Avara Foods
  • bmt
  • Bombardier
  • Bombardier
  • Frazer Nash
  • Gas Networks Ireland
  • International Nuclear Services
  • JCB
  • Martin Baker
  • National Composited Centre
  • Network Rail
  • Smurfit Kappa
  • sse

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