ALL CAREER STAGES | UK-SPEC: A,C,E | ONE DAY | LIVE VIRTUAL OR IN-PERSON | CPD: 7 HOURS | PRICE: FROM £995
Masterclass in AI engineering for decision makers technical training course
Live virtual or in-person at IET London: Savoy Place
We can run additional courses dependent on demand. Please contact us if you are interested in different dates.
About the training course
This AI masterclass will empower decision makers by teaching them the strategic insights needed to identify which business problems AI can solve within their organisation.
When to leverage AI solutions versus traditional approaches. How to translate their AI vision into real-world applications, understand critical factors for successful implementation, and gain a comprehensive grasp of risk management and compliance to ensure responsible and impactful AI adoption.
This is not a theoretical course - it is delivered by an engineer with over 30 years experience. This course is packed with practical examples of successful AI projects and learning points from less successful projects.This masterclass focusses on the practical reality of delivering transformative AI and avoids the hype of the latest fashionable algorithm.
Our in-person course is delivered in an interactive boardroom style for a small group of senior decision makers. It draws on the trainer's extensive experience leading real AI projects to provide practical guidance rather than abstract theory.
Participants will benefit not only from the trainer's expertise but also from peer-to-peer learning and discussion gaining the insight needed to identify the right AI opportunities, craft a clear strategy, and oversee successful implementation. We also offer the course in an interactive live virtual format which allows busy decision makers to attend from the comfort of their own home or office.
James Luke, chartered engineer and FIET
Founder & AI strategist, author, ex-IBM Distinguished Engineer & Master Inventor.
James has 35 years’ experience defining and implementing Artificial Intelligence (AI), analytics and innovation programmes that successfully delivered real value (and some that could have delivered more value). In his career to date, James has not only invented advance analytics and AI capabilities but delivered those capabilities globally into real solutions across multiple industries.
James shares his knowledge, experience and expertise in a very clear and direct manner using real examples of real projects. He shares successes and failures in equal measure so that others can learn from his experience. This course is not about AI theory or the hype of the latest fashionable algorithm. This course is packed with practical examples of real projects aimed at enabling decision makers to make good decisions about AI delivery.
He is the founder of Doability.AI and has held Chief Technology Officer (CTO) executive positions in both IBM and Roke Manor Research Ltd. He has delivered solutions to Clients in defence national security, law enforcement, insurance, retail, motorsport and banking.
He has presented evidence on AI to the House of Lords and the European Commission and authored 'Beyond Algorithms: Delivering AI for Business'. He is committed to advancing the strategic application of AI to solve complex business challenges.
- Giving decision makers a fundamental understanding of AI concepts without any hype so that they understand when to use AI and when not to use AI.
- Equipping decision makers with a series of tools to select, prioritise and enable AI projects as part of a deliverable AI roadmap.
- Understanding how to recruit the right skills and talent to deliver a successful AI programme.
- How to monitor an AI programme to ensure success, know when to stop some initiative, when to reset and when to invest further.
Who should attend?
This course is designed for senior leaders and technical decision-makers who are responsible for defining, developing and executing their organisation’s AI strategy. It is ideal for those who need to:
- Develop and lead AI strategy aligned with business objectives
- Make informed decisions on AI adoption, investment, and implementation
- Assess AI technologies, platforms, and vendors for strategic fit
- Oversee cross-functional execution of AI initiatives across engineering, product, and operations
- Drive measurable ROI from AI-driven transformation efforts.
In-person venue
IET London: Savoy Place
2 Savoy Place
London
WC2R 0BL
United Kingdom
Early-bird
(until 19 December 2025)
Live virtual
Member - £995
Non-member - £1195
In-person
Member - £1195
Non-member - £1295
Standard
(From 20 December 2025)
Live virtual
Member - £1195
Non-member - £1295
In-person
Member - £1295
Non-member - £1395
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 – AIDMGR3to5
- 15% discount for six plus delegates – AIDM6plus
All prices are per person.
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.
By attending this event, you’re helping to support our charitable mission, helping to inspire, inform and influence the global engineering and technology community, to engineer a better world.