Event overview
Course tutors: Dr Sourav Chatterjee
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.
We are delighted to offer this online course, which will take place over four sessions on the dates and times outlined below:
PDT: 6.00am-9.00am | CDT: 8.00am-11.00am | EDT: 9.00am-12.00pm | BST: 2.00pm-5.00pm | CEST: 3.00pm-6.00pm
鈥� Monday, June 15
鈥� Tuesday, June 16
鈥� Monday, June 22
鈥� Tuesday, June 23
Course tutors: Dr Sourav Chatterjee
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.
We are delighted to offer this online course, which will take place over four sessions on the dates and times outlined below:
PDT: 6.00am-9.00am | CDT: 8.00am-11.00am | EDT: 9.00am-12.00pm | BST: 2.00pm-5.00pm | CEST: 3.00pm-6.00pm
鈥� Monday, June 15
鈥� Tuesday, June 16
鈥� Monday, June 22
鈥� Tuesday, June 23
