Dear all,

AI is rapidly transforming the way we analyse data in life sciences. Understanding how to effectively integrate AI tools into data analysis workflows is becoming increasingly important for modern research.

At Physalia, we are pleased to offer two upcoming online courses in this area during the first week of July, which may be of interest to you or your colleagues:

1) AI-Assisted Coding for Bioinformatics with Python - Online | 1–2 July

This course introduces participants to AI-based coding tools and demonstrates how to integrate them effectively into bioinformatics research workflows. The focus is on practical strategies for using AI in Python programming, including prompt engineering, code quality assessment, reproducible documentation, and best practices for transparent, AI-assisted development.

2) Agentic AI for Life Sciences - Online | 6–7 July

This course covers the full stack of agentic AI skills, from understanding core concepts and structuring effective prompts, through to designing and building reusable research workflows. All exercises are based on real-life life sciences datasets and practical tasks.

For the full list of our courses and workshops, please visit: https://www.physalia-courses.org/courses-workshops/

Best regards,

Carlo

Carlo Pecoraro, Ph.D

Physalia-courses DIRECTOR

www.physalia-courses.org