Railway

AI for engineers in rail

Understand the AI landscape and its ethical considerations and potential within railway engineering. Learn to scope AI projects and identify opportunities for utilising AI in engineering workflows.

2 days

Next available:

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

Course Location & Date
AI for engineers in rail
10% early bird discount applied
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Members:
£1,095.00 £985.50 Plus vat
Non Members:
£1,350.00 £1,215.00 Plus vat

Summary

Understand the AI landscape and its ethical considerations and potential within railway engineering. Learn to scope AI projects and identify opportunities for utilising AI in engineering workflows.

The field of AI is rapidly evolving and with the introduction of AI large language models like ChatGPT, there are many opportunities to boost productivity and reduce costs by utilising AI tools. The railway sector will be disrupted by this technology and railway engineering leaders must be equipped with skills and knowledge on how to navigate this disruption to stay competitive in the marketplace.

This course will tackle this challenge by introducing a big picture map of the field and providing intuitive understanding of how AI works in the context of the Railway sector. Specific opportunities will be presented including optimising train scheduling, route planning, and resource allocation via techniques such as Reinforcement Learning (RL), thereby increasing overall operational efficiency.

Additionally, they will develop skills in analysing and managing extensive data sets using AI tools tailored for railway engineering needs. Finally, participants will feel confident how they can start scoping, planning, and developing AI tools within their respective fields to enhance productivity and reduce costs.

Who should attend?

This course is ideal for engineers, technical managers, and professionals in the rail sector looking to harness AI technologies to enhance operational efficiency, safety, and customer satisfaction. Whether you're aiming to initiate AI projects or seeking to deepen your understanding of AI's role in rail, this course will provide the knowledge and tools you need.

How will I benefit?

By the end of this course, delegates will be able to:

  • Understand of how AI technologies are revolutionising railway engineering, from predictive maintenance to autonomous train operations.
  • Identify and address ethical considerations unique to implementing AI in railway projects, ensuring responsible innovation.
  • Scope AI projects, identifying high-impact opportunities for AI integration in rail infrastructure and operations.
  • Explore specific AI use-cases in rail engineering, such as track monitoring, predictive maintenance, traffic management, and customer service enhancements.
  • Utilise a comprehensive knowledge of AI mechanics, including machine learning, neural networks, and data analytics, as applied to railway engineering challenges.
  • Describe the latest AI advancements and understand their potential to disrupt and advance the rail sector.
  • Articulate the business case for AI projects, effectively communicating their benefits to clients and stakeholders within the rail industry.
  • Explore their own use cases with direct access to industry-leading instructors with real-world experience in AI applications for railway engineering.
 
Contributes 14 CPD hours

Key topics

  • AI mechanics tailored to railway professionals without a deep technical background in AI.

  • Applications of AI in railway operations, maintenance, and safety, to increase efficiency and reliability.

  • Ethical implications of deploying AI in the railway sector, focusing on privacy, safety, and fairness in automated decisions.

  • Scoping and managing AI projects within the rail industry using the SCRUM methodology, tailored for the fast-paced development of AI solutions.

  • Latest advancements of AI technologies in railway engineering. (like Large Language Models, YOLO for object detection, and Reinforcement Learning). 

     

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

  1. 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’
  2. Communication and inter-personal skills - For Incorporated and Chartered Engineers: 'Demonstrate effective interpersonal skills’
  3. Professional commitment - For Incorporated and Chartered Engineers: ‘Demonstrate a personal commitment to professional standards, recognising obligations to society, the profession and the environment’

Meet our trainers

These trainers regularly teach AI for engineers in rail.

  • 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
  • CPD Hours:
    14
  • UK-Spec:
    B, D, E

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Available dates for AI for engineers in rail

2 day course

London
21-22 Nov 2024

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