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Introduction

This course provides a practical introduction to the application of artificial intelligence (AI) and machine learning (ML) in chemistry, with a strong focus on industry-relevant examples such as property prediction, data analysis, and process optimization. Through hands-on exercises in a cloud-based Jupyter/Deepnote environment, participants will learn step by step how to explore datasets, build models, and interpret results using Python. No local installations are required, and all datasets used are free and openly available. Designed for chemists with no prior AI/ML or programming experience, the course emphasizes approachable workflows and real-world chemical applications. By the end of the course, participants will understand the benefits and limitations of AI/ML in chemistry and be equipped with practical skills to apply these methods in research and industrial contexts.

Useful links

Speakers

• Dr Sourav Chatterjee University of Bath, United Kingdom

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Venue

United Kingdom

Organised by

Scientific Update offers specialised conferences and training courses for industrial chemists and chemical engineers.

Contact information

Events Team
Scientific Update Ltd
01892956222
Contact us by email

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