Training

This core session is designed to help new users at ACENET and Digital Research Alliance of Canada get up and running.

Learn the basics of Linux and using HPC clusters: navigate directories, transfer files, manage storage, run programs, and work with permissions.

Learn shell scripting to automate tasks, manage files, use variables and loops, create job scripts, and build reusable Linux workflows for HPC.

Session on the Slurm job scheduler, showing HPC users how to allocate resources efficiently, reduce wait times, run multiple jobs, and troubleshoot issues.

Hands-on beginner series covering Unix Shell, Git, and Python fundamentals, teaching programming, version control, data management, and task automation for research applications.

Workshop on computational thinking, guiding participants to break down problems, recognize patterns, and design logical, efficient solutions through practical exercises.

Workshop on computational thinking, guiding participants to break down problems, recognize patterns, and design logical, efficient solutions through practical exercises.

This 3-day workshop offers a beginner-friendly hands-on introduction to machine learning and its application to bioinformatics. This workshop is not intended for machine learning experts; instead, it targets biologists or other life scientists who want to understand what machine learning is, what it can do and how it can be used for a variety of bioinformatic applications.

This microcredential covers Linux, Python, Git, cybersecurity, and HPC, combining hands-on and asynchronous learning to build practical data analysis skills.

This introductory workshop offers best practices for data organization in spreadsheets and preparing data for further analysis.

Build, evaluate, and deploy machine learning models. Learn supervised and unsupervised ML, core performance metrics, and cross-validation to solve real-world problems.

Lesson introducing OpenRefine for cleaning and managing data, helping researchers and librarians standardize, explore, and resolve inconsistencies in CSV or TSV files.

Hands-on beginner/intermediate series covering R fundamentals, including data handling, modular coding and task automation for practical research application.

Level up your data! Leverage R and ggplot2 to create publication-quality visuals using the tidyverse and Grammar of Graphics for professional, reproducible workflows.

Explore Transformer architecture, compare top LLM families, identify key failure modes, and explore some prompt engineering patterns.