ALL CAREER STAGES | UK-SPEC: A,B,E | TWO DAYS | ONLINE OR IN-PERSON | CPD: 14 HOURS | COST: FROM £845.75
AI for Engineering: Foundations and Applications training course
About the technical training course
This course offers a hands-on introduction to the full machine learning pipeline, giving participants a practical feel for building ML models across various applications.
Using widely recognised datasets, alongside industry-specific image and time series data, the course walks through each step from data preparation to model deployment.
Ideal for beginners or professionals exploring ML, it provides a fast-paced yet accessible overview of key concepts, tools, and workflows used in real-world machine learning projects.
Giovanna Martinez-Arellano, University of Nottingham
Giovanna has a PhD in Computer Science from Nottingham Trent University and is currently an Assistant Professor in Manufacturing Systems at University of Nottingham.
Giovanna previously held an Anne McLaren Research Fellowship in Industrial AI at the Institute for Advanced Manufacturing at the University of Nottingham.
Her area of research particularly focuses on the development of robust Machine Learning models for complex and reconfigurable manufacturing systems.
Carmine Ventre, Kings College London
Professor Carmine Ventre is the interim Head of the Department of Informatics, King's College London. He is a Professor of Computer Science and Chair in Computational Finance in the Department.
He was the Director of the King's Institute for Artificial Intelligence between May 2023 and May 2025.
Professor Ventre’s research interests include algorithmic game theory, microeconomics and the internet, AI for algorithmic trading and finance and cryptography and security.
- Define artificial intelligence (AI) and understand its core principles and terminology.
- Understand the fundamentals of data science, including data literacy and its role in AI.
- Recognise the potential applications of AI across engineering and organisational contexts.
- Identify key benefits, challenges, and ethical considerations associated with AI adoption, including data privacy and bias.
- Develop practical skills in crafting effective prompts for chatbots and AI tools in business and problem-solving scenarios.
- Deepen understanding of machine learning concepts through hands-on exercises.
- Apply machine learning models to solve engineering problems and interpret model outputs.
- Build confidence in using AI tools and integrating AI into existing workflows and decision-making processes.
Who should attend
This course is designed for professionals in engineering and technology who are beginning to explore AI, including systems engineers, civil engineers, electrical engineers, mechanical engineers, software developers, data analysts, and technical managers. It will also benefit graduate students, early-career researchers, and practitioners working in finance, cybersecurity, automation, and smart infrastructure who want to understand how AI can be applied in their domains.
Engineers working in data-driven environments or those transitioning into AI-related roles - such as digital transformation leads or innovation specialists - will find the course particularly valuable.
Early bird tickets
(until Friday 26 January 2026)
Member - £995
Non-member - £1195
Student - £845.75
Standard tickets
Member - £1095
Non-member- £1295
Student - £895.50
Register your interest
The following discount codes are for member and non-member delegate registration only, and not applicable to student bookings.
- 10% discount for three to five delegates – To be confirmed
- 15% discount for six plus delegates – To be confirmed
Please note that payment must be made in full, and we do not accept AMEX when registering online.
If you need to pay for your group by proforma invoice, please contact events@theiet.org.
All prices are per person. If you require a proforma invoice before booking and/or wish to pay via purchase order, please contact us: events@theiet.org. We regret that we cannot accept AMEX for online payments.
*All students must provide a copy of their student pass or letter of enrolment from their college or University.
Once registered please email your documentation to events@theiet.org along with your booking confirmation number.
By attending this event, you’re helping to support the IET’s charitable mission, helping to inspire, inform and influence the global engineering and technology community, to engineer a better world.