Email: ietcourses@theiet.org
ALL CAREER STAGES | UK-SPEC: A,B,E | TWO DAYS | LIVE VIRTUAL OR IN-PERSON | CPD: 14 HOURS | COST: FROM £499
AI for engineering: Foundations and applications training course
Master AI foundations and real-world engineering applications with our hands-on training course
Live virtual or in-person at IET Stevenage: Futures Place
We can run additional courses dependent on demand. Please contact us if you are interested in different dates.
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
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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
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Carmine Ventre,
Kings College London
Carmine Ventre is a Professor of Computer Science and Chair in Computational Finance in the Department of Informatics, King's College London. He gained a Laurea degree and a PhD in Computer Science, both from Università di Salerno.
He subsequently worked at the University of Liverpool, Teesside University and the University of Essex before joining King's in September 2019, to lead the Finance research hub in the Department of Informatics.
Between July 2023 and May 2025, he has been the director of the King's Institute for AI. From August 2024 to July 2025, he has been the Head of the Department of Informatics.
Professor Ventre’s research interests include algorithmic game theory, microeconomics and the internet, AI for algorithmic trading and finance and cryptography and security.
Key learning objectives
- 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.
Day one
- Welcome and introductions
- Introduction to the virtual learning environment and learning tools
- What is AI?: Definition, brief history, types of AI, machine learning basics, real-world examples
- Group session: Identification of AI applications in different organisations
- Introduction to data science: Types of data and AI-Driven data collection, basic data analysis concepts, AI-ready data management and storage; building an AI-aware, data-driven culture
- Introduction to prompt engineering: Creating basic prompts and prompts for different business areas
- Benefits and challenges of AI adoption
- Ethical considerations: data privacy, bias and fairness, explainability
- Identifying easy wins for AI adoption.
The module will include some guided group sessions, with feedback, and practice activities.
Day two
- Data handling in python including:
- Data import, data cleaning and wrangling
- Data visualisation
- Clustering
- Data import, data cleaning and wrangling
- AI approaches including:
- Neural Networks and Radom Forests for developing prediction models
- CNN – Intro and a 2-line approach for image classification using YoloV8
- Neural Networks and Radom Forests for developing prediction models
Early bird tickets
(April course until 6 March 2026, July course until 15 May 2026 )
Member - £999
Non-member - £1199
Student - £499
Standard tickets
(April course until 20 April 2026, July course until 19 June 2026)
Member - £1099
Non-member - £1299
Student - £499
Late tickets
(April course not applicable, July course from 20 June 2026 )
Member - £1199
Non-member - £1399
Student - £499
Group booking discounts
AIFUND3TO5 - 10% Group Discount - 3 to 5 delegates
AIFUND6PLUS - 15% Group Discount - 6 plus delegates
Address
IET Stevenage: Futures Place
Futures Place
Kings Way
Stevenage
SG1 2UA
What's included in registration?
- Two days of training delivered by our experts
- Access to trainer presentations
- CPD hours and certificate of attendance
- Lunch and refreshments (in person courses only)
Overseas participants
If you are attending the course from outside of the UK and are paying for your booking using a company payment card where the company is VAT Registered and is the registered card billing address, please use the registration link for a VAT registered overseas company.
This form will capture your Company VAT Registration number and will be subject to Out of Scope VAT. Otherwise, VAT is charged at the UK rate of 20%.
If you are from outside the UK but paying with a personal payment card, please use the overseas individual link.
Terms and conditions
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.
Discount codes are for member and non-member delegate registration only, and not applicable to student bookings.
If you need to pay for your group by proforma invoice, please contact events@theiet.org.
Contact us