[ AI Training for Scientific Research ]

Bridging the AI skills gap in research

AI is transforming every field—from the humanities to engineering—but researchers frequently encounter a lack of training tailored to the complexities of their work.

Our courses empower scientists to integrate machine learning into their research with confidence drawing on methods reflecting the pace and rigor of today’s research landscape.

AI training for the future of research

Apply what you learn - directly to your research, with expert feedback and help

Our approach doesn’t stop at theory or generic exercises. A core part our courses is dedicated to giving you tailored feedback on how to apply the concepts to your own research.

The depth and breadth of experitse of our instructors means that whether you’re refining a model, structuring your code, or exploring an unfamiliar dataset (or simply don't know where to start with AI), you’ll get practical, research-informed guidance tailored to your stage and field.

AI goes beyond automation. It offers a new lens for scientific inquiry

In our courses you will learn to approach your data with fresh eyes. Through hands-on sessions, we introduce powerful AI and software engineering techniques that help you ask new questions, and uncover insights often missed in traditional workflows.

You will gain not only the technical skills but also the confidence to tackle the low-hanging fruit in your datasets that you previously missed or extend it into entirely new directions that you never considered before.

Adopt new workflows and develop skills that go beyond academia

Our training goes beyond the basics of applying AI, it emphasises robustness and the application of software engineering best practices rarely taught well to academics.

You’ll learn to adopt workflows that make your models more reliable and maintainable, essential skills for both cutting-edge research and industry readiness.

Whether you remain in academia or move into applied roles, you’ll leave with a toolkit that enhances the credibility of your research, expand your skillset and strengthens your career prospects.

Endorsements

“I have got in touch with LON.AI to help me navigate a new Python codebase that I inherited from a research team related to applying advanced deep learning techniques to an econometric dataset.
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Even as an experienced researcher and lecturer myself, LON.AI's training still managed to provide me with excellent advice that not only improved the design, efficiency and correctness of my code but much more importantly also sparked new research ideas to pursue.
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It’s hard to find experts who not only understand software engineering and cutting-edge AI, but who also appreciate the unique needs and constraints of academic research - and can communicate these complex ideas clearly across disciplines.

That’s why I strongly recommend the training offered by LON.AI to any researcher or PhD student curious about using AI in their research.”

Dr Malvina Marchese

Associate Professor in Finance
Bayes Business School
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Director,
International Institute of Forecasters

We have been working with LON.AI since 2020 to help us supervise students working on their Applied Research Projects with industrial partners, and so far they helped us supervise more than 150 students on cutting-edge research projects related to LLMs, medical technology and quantum computing.

LON.AI’s efforts have definitely played an important role in making our programme one of the top ranked programmes in the UK and enahnced the employability of our cohorts with top-tier clients.

They have consistently provided students with outstanding technical guidance on software engineering techniques and on using frontier AI models to extract insight from their datasets.

I am sure if you get a chance to talk with Ahmad, Steffen or Jan you will see that they are best in class when it comes to educating the next generation of scientists on using AI.”

Prof Vali Asimit

Programme Director
City, University of London

In-person teaching from leading AI experts

Our feedback-driven approach is shaped by years of experience supervising researchers at leading UK institutions, including University of Cambridge and Imperial College London, where we have seen first-hand how personalised guidance accelerates learning and is essential in bridging the gap between technical training and real research impact.

Our courses are continuously updated to reflect evolving best practices, drawing on insights from our active network of industry collaborators and leading experts. Rather than relying on formulaic curricula, we design our content to stay relevant, flexible, and aligned with both academic and real-world research challenges.

Meet the instructors

Why London?

London stands at the forefront of AI research, making it the perfect place to study and innovate in artificial intelligence.

Along with Oxford and Cambridge, London forms one vertex of the UK's ‘golden triangle’ in AI research, and is home to world-renowned AI research institutions, cutting-edge startups, and major big tech groups like DeepMind, Microsoft and Apple .

The city fosters a dynamic ecosystem of innovation, with access to top-tier universities, venture capital, and government-backed AI initiatives and research funding. Studying AI in London means immersing yourself in a vibrant, diverse, and highly connected network of experts, offering unparalleled opportunities for collaboration and career growth.

Featured course

Data Pipelines for Scientific Discovery

A hands-on course in designing and implementing pipelines for scientific discovery.

Course info