Worked on the Image-Analysis-Hub/Pasteur-BioImage-Analysis-Course-2025 repository to deliver new GPU-accelerated image analysis features, reorganize course materials, and enhance onboarding for learners and instructors. Focused on restructuring documentation, updating licensing to Creative Commons, and improving reproducibility through notebook refactoring and environment stabilization. Developed and updated Jupyter notebooks demonstrating device and memory management, multi-GPU tile processing, and AI-based bioimage analysis workflows using Python, clEsperanto, and pyclesperanto. Improved repository hygiene with .gitignore and clarified course schedules and installation guides. These efforts streamlined course delivery, reduced setup friction, and enabled scalable, hands-on training in scientific computing and image processing.