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Home>Computer Science>CS Professional Development and Training>Generative AI in Engineering

Companies which are early adopters of generative AI in engineering, manufacturing and supply chains have a chance to reap first-mover advantage and provide a model for its use in their respective sector. 

Generative AI’s implementation needs and use cases differ from those of analytical AI. Analytical AI is broadly implemented for forecasting, set point optimization, and the use of historical data to improve processes and outcomes. Whereas Generative AI, opens a new frontier for problem solving across the supply chain including in product development, production planning as well as warehousing and logistics. 

Globally, most executives have some familiarity with this technology and are aiming to understand how to make full use of it in their businesses.

This 3-day, in-person course is aimed at executives, digital technology leads, section heads as well as manufacturing leads in the engineering and manufacturing sector looking to implement Generative AI in their businesses towards improving productivity and gaining a competitive edge in their sector markets. You will find out the different types of Generative AI architectures and their potential applications as well as acquire the skills to identify the appropriate solution for your business.

Contact us

Toshiko Smith

Toshiko Smith

MSc SCSE and Short Courses Team

cs-safety-courses@york.ac.uk

Business and Partnerships Team

cs-cpd@york.ac.uk

University of York CPD Team for Generative AI in Engineering and Manufacturing

cpd@york.ac.uk
01904 325145

Related links

Course Information

  • Date: Tuesday 4 to Thursday 6 February 2024
  • Time: 9.00am to 4.30pm each day
  • Cost: £1,500 per person (£1,250 with Early Bird discount)

 

 

An engineer working on a design on two screens

Learning outcomes

On this course you will learn:

  1. What Generative AI is as well as its strengths and its limitations
  2. About the different flavours of Generative AI as well as how they can be built and applied in your business.
A group of students being taught in a seminar

How is this course taught?

The CPD will be taught over the course of 3 days with the days focusing 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

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

  • Large Language Models
  • Diffusion models
  • Variational autoencoders
  • Limitations of Generative AI

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

  • Understanding where and when to deploy in your organisation 
  • How to deploy in your organisation
  • Case studies of successful use cases

Meet the lecturer

Dr John Oyekan has over 15 years experience working with industrial partners in various manufacturing sectors where he translates cutting edge AI research into businesses to boost productivity and transform their businesses. He is a Chartered Engineer (CEng), a Fellow of Royal Society of Arts and Commerce, Co-Chair of the UK-wide Robotics and Autonomous Systems Network funded by Engineering Physical Sciences Research Council as well as a Senior Lecturer in Human-Centred AI for Autonomous Manufacturing in the Department of Computer Science, University of York. Prior to his Academic career, John worked in a startup, a government funded catapult and industry. 

Book your place

Before you make your booking, please ensure that you have read our booking conditions

Course fee: £1,500 per person (VAT exempt)

Early Bird fee: £1,250 per person (VAT exempt) (if you book before Friday 1 November 2024).

The price includes all course materials and a course dinner in the historic York City Centre

Book now

Payment

  • Online payment via credit or debit card is preferred. Payment by invoice incurs an additional charge of £30. Please note that the University of York cannot accept American Express cards
  • Registration fees are payable in advance of the programme start date.
  • We regret that we cannot reserve or hold programme places in advance of booking or payment.
  • Participants may cancel their place in the programme by emailing the cpd@york.ac.uk

Registration fees are payable in advance of the course and are fully inclusive of tuition, course materials, lunch / refreshments at the course venue, plus some social events,  but do not include accommodation.

Standard fees and early bird discounted fees - apply to organisations worldwide and are UK VAT exempt (i.e. VAT is not payable).

Cancellations

The following cancellation terms apply:

Standard conditions:
-  Cancellations made 30 days or more before the programme start date: programme registration fees refunded less a 10% administrative charge.
-  Cancellations made less than 30 days before the programme start date: no refund will be given

For bookings of between 1 and 5 people from the same organisation:
-  Cancellations made 30 days or more before the programme start date: programme registration fees refunded less a 10% administrative charge.
-  Cancellations made less than 30 days before the programme start date: no refund will be given. 

For larger bookings of 6 or more people from the same organisation:
-  Cancellations made 60 days or more before the programme start date: programme registration fees refunded less a 10% administrative charge.
-  Cancellations made less than 60 days before the programme start date: no refund will be given.
-  Should one person from a group booking from the same organisation cancel, substitutes can be made, or the standard conditions apply.

The University of York will not accept responsibility for any additional costs incurred by the participant (for example travel or accommodation arrangements).

  • If a discount is used by ineligible individuals or organisations, the place on the programme will be cancelled, the registration fee payment will be refunded, and the individual or organisation asked to register again with payment at full price.
  • Multiple discounts or promotions cannot be combined.

Attendance

  • Substitutions may be made prior to the programme start date, provided you inform the CPD team cpd@york.ac.uk in writing and complete any registration documentation for the new participant. 
  • No substitutions are permissible once the programme has started.
  • Transfers between programmes are not possible.
  • In the unlikely event that, due to unforeseen circumstances, the programme has to be cancelled by the University of York, our liability is limited to a refund of paid programme registration fees only. 

Liability

The Learning Management System (LMS) and the Virtual Learning Environment (VLE)  are provided to you “as is” and we exclude all representations, warranties, conditions and terms expressly or implied by statute, common law or otherwise to the fullest extent permitted by law. We do not guarantee that:

  • use of the LMS, VLE or Zoom will be compatible with all hardware and software,
  • use of the LMS, VLE or Zoom will be uninterrupted or error or virus free,
  • use of the LMS, VLE or Zoom will deliver any specific outcome for its users, or
  • defects on the LMS, VLE or Zoom will be corrected (save for those defects which the University of York is obliged to correct by law).

2. You must take appropriate steps to ensure that you regularly check for and protect against viruses when using the LMS, VLE or Zoom on any device.

We may terminate your account or your access to/use of the LMS or VLE with immediate effect:

  • if we reasonably believe you are in breach of these terms and conditions and/or the code of conduct;
  • in order to prevent any abusive, fraudulent or unlawful activity;
  • where necessary to prevent or stop any harm or damage to the university, any learner or the general public.

To the fullest extent permitted by law, the aggregate liability of the University of York, to you, the Customer, to under or in relation to these terms and conditions shall be limited to the total price payable by you under these terms and conditions.

Nothing in these terms and conditions shall exclude or limit liability for negligence resulting in personal injury or death; fraud; or for any other type of liability that, by law, cannot be limited or excluded.

 

These terms and conditions shall be governed by and construed in accordance with the laws of England and Wales and the parties agree to submit to the jurisdiction of the courts of England and Wales.

Through registering for a course applicants are deemed to have accepted the above Terms and Conditions.

 

Contact us

Toshiko Smith

Toshiko Smith

MSc SCSE and Short Courses Team

cs-safety-courses@york.ac.uk

Business and Partnerships Team

cs-cpd@york.ac.uk

University of York CPD Team for Generative AI in Engineering and Manufacturing

cpd@york.ac.uk
01904 325145

Related links