Skip to content Accessibility statement
Department of Computer Science
HomeDepartment of Computer ScienceProfessional development and trainingShort course: Generative AI in Engineering and Manufacturing

Generative AI in Engineering and Manufacturing

Improve the productivity of your business. Learn about Generative AI architectures and their applications, and acquire the skills to identify the most appropriate solution for your business.

This exciting new course is for professionals working in the engineering and manufacturing industries who are looking to gain a competitive edge in their sector markets.

This three-day course will focus on how Generative AI can be used to improve business productivity. Participants will learn about implementation needs, how use cases differ from those of analytical AI, and the safety aspects which should be considered during development and deployment.

Who is this course for?

This course is suitable for executives, section heads, digital technology leads and manufacturing leads in the engineering and manufacturing sectors.

Contact us

Bespoke short courses for industry

Short courses in systems safety engineering; MSc Safety Critical Systems Engineering

Related links

An engineer working on a design on two screens

Learning outcomes

On this course you will:

  • Gain a clear overview of what Generative AI entails;
  • Understand the strengths and limitations of Generative AI;
  • Become familiar with the different types of Generative AI, and how they can be built and applied in your business;
  • Acquire hands-on experience in the development of a Generative AI application. 

How is this course taught?

This short course is led by Dr John Oyekan, Professor Simon Burton and Dr Kester Clegg, who are based in the Department of Computer Science at the University of York.

Collectively, they have over 40 years of experience collaborating with industrial partners at the forefront of cutting-edge AI research, and are well-versed in how digital technologies and automation can be used to boost productivity and innovation.

The course will be taught over three days, and will focus on the following topics:

Day 1: What is Generative AI and how does it work?

  • Technical history of Generative AI
  • Natural Language Processing and Neural Networks
  • Large Language Models I
  • Opportunities for hands-on experience in trialling Generative AI algorithms in a sandbox environment

Day 2: Types of Generative AI Architectures and how they work

  • Large Language Models II
  • Diffusion models
  • Variational autoencoders
  • Generative AI for Safety Analysis
  • Opportunities for hands-on experience in trialling Generative AI algorithms in a sandbox environment II

Day 3: Choosing the right type of Generative AI for your organisation

  • Limitations of Generative AI
  • When, where and how to deploy Generative AI in your organisation
  • Overview of regulations and standards for AI safety
  • Tours of safety autonomy and robotics labs

Example programme 

Meet your tutors

Dr John Oyekan

Prof Simon Burton

Dr Kester Clegg

Guanqun Cao

Register your interest

Related links

Contact us

Bespoke short courses for industry

Short courses in systems safety engineering; MSc Safety Critical Systems Engineering