ScaDS.AI Dresden/Leipzig offers a wide variety of training courses and online training materials for self-study. The offers of the Transfer and Service Center are aimed at scientists, students, and especially non-scientific users. Within our courses, technical, methodological, ethical and sociological topics are covered. Our trainings offer opportunities to get in touch with data science experts, artificial intelligence researchers and colleagues from various domains. We aim to distribute knowledge in data science and artificial intelligence, but also to found networks of scientists and non-scientists working on real-world use-cases and projects together.

Training topics and focal points

If requested, all training offers can be individually designed. The presentation can be done in various ways, e.g., in the form of lectures, workshops, hands-on sessions, etc. In addition, there is the possibility of technical support for your hackathons in the form of hardware resources. The course offers include lectures, seminars, and supervision of theses, and is aimed at those interested in all subject areas. Just contact us and we will find the right format for you.

Overview

2024

• • 08.11.2024: Developing a Training Strategy
    tutorial at the GloBIAS Annual Workshop, Gothenburg, Sweden
  • 07.11.2024: Big Data Processing on HPC
  • 05.11.2024: Training Computational Skills in the Age of AI
    tutorial at the GloBIAS Annual Workshop, Gothenburg, Sweden
  • 30.10.2024: GPU-accelerated Image Analysis
    webinar at the From Images to Knowledge (I2K) virtual conference
  • 28.10.2024: Bio-image Analysis Code Generation
    webinar at the From Images to Knowledge (I2K) virtual conference
  • 09.10.2024: Bio-image Analysis Code Generation
    webinar with The Young Microscopists and Image Analysts (YMIA) Network of German BioImaging | Slides
  • 27.08.2024: Large Language Models – an Introduction for Life Scientists
    webinar with the Global Bio Image Analysis Society | Slides | Recording
  • 25.08.2024: Workshop on AI in microscopy
    webinar with University of Copenhagen | Slides
  • 30.07.2024: JupyterHub on HPC
  • 28.06.2024: Large Language Models for Bio-image Analysis
    webinar with Mexian Bioimaging | Slides
  • 04.06.2024: Python Programming Tutorial
    with Academic Lab, Leipzig University
  • 27.05.2024: Research Software Management using git and zenodo
    Workshop “From Pixels to Papers” with CMCB / PoL / TU Dresden | Slides
  • 22.05.2024: Prompt Engineering
    workshop “AI at Leipzig University”, with Elearning Group at Leipzig University
  • 13.-15.05.2024: Bio-Image Data Science Training School
  • 26.04.2024: Machine Learning on HPC – Introduction
  • 23.04.2024: R on HPC
  • 14.-18.4.2024: Data Management | Open Science, Sharing & Licensing | Collaborative Work and Version Control with git
    Dataweek Leipzig
  • 20.03.2024 Prompt Engineering for Quantitative Bio-image Analysis
    webinar at Monash Advanced Microscopy Seminar | Video recording
  • 19.03.2024 Sharing & Licensing
  • 13.03.2024 Bio-image Analysis with the Help of Large Language Models
    Leibnitz IPHT Seminar, Jena
  • 06.03.2024 Bio-image Analysis using Large Language Models
    IMOL Seminar, Johann Wolfgang Goethe University Frankfurt

2023

• • 26.10.2023: Big Data Processing on HPC
  • 23.10.2023: Machine Learning on HPC – Introduction
  • 19.10.2023: AI on HPC (AI School 2023)
  • 18.10.2023: Data Visualization (AI School 2023)
  • 17.10.2023: Excercises on AI / Machine Learning (AI School 2023)
  • 17.10.2023: Handle your Data (AI School 2023)
  • 16.10.2023: AI / Machine Learning Basics (AI School 2023)
  • 01.06.2023: Data Preparation for Data Analysis – Part 2
  • 01.06.2023: Data Preparation for Data Analysis – Part 1
  • 31.05.2023: Machine Learning for Beginners
  • 30.05.2023: Excel vs Pandas
  • 30.05.2023: Jupyter, NumPy and Pandas
  • 24.05.2023: Data Visualization
  • 09.05.2023: Hyperparameter Optimization with OmniOpt
  • 28.04.2023: R on HPC
  • 20.04.2023: Machine Learning on HPC – Introduction

2022

• • 08.12.2022: Big Data Processing on HPC
  • 27.10.2022: JupyterHub on HPC
  • 27.09.2022: Machine Learning on HPC – Introduction
  • 06.09.2022: Machine Learning – Predicting Properties on Spotify Data
  • 31:08.2022: Data Analysis – Data Preparation
  • 30.08.2022: Data Analysis – Pandas vs. Excel
  • 11.07.2022: R on HPC – Introduction
  • 06.05.2022: Machine Learning on HPC – Introduction
  • 08.04.2022: Machine Learning on HPC – Introduction
  • 11.01.2022: Machine Learning on HPC – Introduction

ScaDS.AI Dresden/Leipzig cooperates with the National High Performance Computing (NHR). For more information, please refer to the overview of available NHR trainings at TUD Dresden University of Technology.