Bring AI into your mathematical research to probe ideas, test new directions,
and speed up hypothesis exploration.
Explore math projects, research papers, and coding tasks in the course created by mathematicians and AI experts.
Get expert advice on how to make AI tools and techniques part of your own research workflow.
Build expertise in AI-assisted coding, training and using LLMs, and searching for examples and counterexamples with RL and tools like AlphaEvolve.
Lectures take place at theLondon Institute for Mathematical Sciences (LIMS)
Running massive math experiments with the help of coding assistants. LLMs as research assistants.
From linear models to neural networks: when AI models are useful and when they are not; data collection; model training.
Mathematical data as sequences: from individual formulas to statements and proofs. The use of transformers and LLMs.
Speeding up search in huge search spaces. Algorithm optimization with AlphaEvolve and its open-source analogs. Reinforcement Learning.
You can go through our learning materials at your own pace on GitHub. We’ll update the repository before the course starts.
If you’re an MSc student, PhD student, or postdoc in mathematics, comfortable with Python and curious about using AI in your research, this course is a good fit.
We welcome all interested participants and will offer a short self-assessment task before the course starts to help you decide if your Python skills are at the right level.
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About Nebius Academy
At Nebius Academy – the educational and research initiative of Nebius – we help professionals and teams use AI to its full potential.
We focus on applied AI, cloud education, and AI for math research.
learners across Europe, the US, and Israel
engineers, researchers, and tech leaders in our community
Or email us at business.academy@nebius.com
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