[Biopython] FW: Online courses: Deep Learning and AI for Life Sciences – Nov 26 - Jan 27

[info at physalia-courses.org]

Dear all,

 
we are offering a series of online training opportunities for biologists, bioinformaticians and computational researchers interested in applying Artificial Intelligence and Deep Learning to biological research.
 
The programme includes:
 
1. Introduction to Deep Learning for Biologists
23–27 November 2026 | Online
 
A five-day practical course covering the foundations of deep learning, CNNs, classification, regression, image segmentation and applications to biological and -omics data.
[ https://www.physalia-courses.org/courses-workshops/course67/ ]( https://www.physalia-courses.org/courses-workshops/course67/ ) 
 
2. Agentic AI for Life Sciences
3–4 December 2026 | Online
A hands-on course introducing AI agents and their applications to research, including coding agents, data analysis, interactive data portals, RAG, MCP and reproducible research workflows.
[ https://www.physalia-courses.org/courses-workshops/agentic-ai/ ]( https://www.physalia-courses.org/courses-workshops/agentic-ai/ ) 
 
3. Webinar: Programming Biology with Genome-scale AI
7 December 2026 | Online | 3–5 PM Berlin time
Ben Fishman, PhD (Genomic Intelligence), will introduce DNA language models and genome-scale foundation models, exploring applications in gene regulation, variant interpretation, DNA design and programmable biology.
[ https://www.physalia-courses.org/courses-workshops/webinar-ai/ ]( https://www.physalia-courses.org/courses-workshops/webinar-ai/ ) 
 
4. AI for Genomics: From CNNs and LSTMs to Transformers
 25-27 January 2027 
This course explores the application of modern AI architectures—Convolutional Neural Networks (CNNs), Long Short-Term Memory networks (LSTMs), and Transformers—to genomic and metagenomic data.
[ https://www.physalia-courses.org/courses-workshops/ai-for-genomics/ ]( https://www.physalia-courses.org/courses-workshops/ai-for-genomics/ ) 
 
5. AI-Assisted Coding for Bioinformatics
26–27 January 2027 | Online
A practical course on using Claude as an AI coding partner for bioinformatics, covering Python programming, genomics data analysis, RNA-seq workflows, coding agents and reproducibility.
[ https://www.physalia-courses.org/courses-workshops/claude-bioinfo/ ]( https://www.physalia-courses.org/courses-workshops/claude-bioinfo/ ) 
 
For the full list of our courses and workshops, please visit: [ https://www.physalia-courses.org/courses-workshops/ ]( https://www.physalia-courses.org/courses-workshops/claude-bioinfo/ ) 
 
Should you have any questions, please feel free to contact us.
 
Best regards,
Carlo
 
 
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Carlo Pecoraro, Ph.D


Physalia-courses DIRECTOR

info at physalia-courses.org

mobile: +49 17645230846

[ Bluesky ]( https://bsky.app/profile/physaliacourses.bsky.social ) [ Linkedin ]( https://www.linkedin.com/in/physalia-courses-a64418127/ )

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