AI for engineers in rail

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.

Key topics

Meet our trainers

These trainers regularly teach AI for engineers in rail.