Coding Best Practices with Michael Serafin

                Michael Serafin presented the second seminar on Coding Best Practices as part of the 2022-2023 IMI BIGDataAIHUB’s Seminar Series. Key takeaways are captured in this article, and his presentation can be found here.

Self-lead Asynchronous Learning: Elements of AI Courses            

                This seminar presented several resources to help get started with AI. For those with limited knowledge of AI, Michael suggested a free online course offered by Elements of AI, which was developed by the University of Helsinki. The course is called Intro to AI; it takes between 24 and 30 hours to complete, and a certificate can be added to your LinkedIn profile upon completion (Access details here: https://www.elementsofai.com/). Additionally, there is a second, more advanced, course called Building AI, where participants learn algorithms to create AI methods. This course takes 50 hours to complete and recommends basic Python knowledge.

Synchronous Learning: Carpentries Workshops

                Another great resource to get started with coding is offered by The Carpentries, which is a community to teach data and coding skills seeking to target researchers. The cost of The Carpentries workshops typically ranges from $10 to $100. For more information visit: https://carpentries.org/workshops-curricula/ and to register, view upcoming workshops here: https://carpentries.org/workshops/#workshop-upcoming

Additional Resources: UofT Libraries

                The University of Toronto also hosts workshops that may be relevant, see what is upcoming here: https://libcal.library.utoronto.ca/calendar/libraryworkshops

                To see additional library resources discussed in Michael’s seminar, view the guide here: https://guides.library.utoronto.ca/bigdataihub-resources. This comprehensive guide captures each of the resources discussed to get started with coding.