Coding Best Practices with Michael Serafin

IMI BIGDataAIHUB Seminar Series
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.

Coding Best Practices with Michael Serafin
Michael Serafin delivering Seminar 2 in the 2022-2023 IMI BIGDataAIHUB’s Seminar Series at the University of Toronto Mississauga. Topic: an introduction to Coding Best Practices.

 

 

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

 

Michael Serafin’s library guide summarizes resources provided in Seminar 2 in the 2022-2023 IMI BIGDataAIHUB’s Seminar Series.
Michael Serafin’s library guide summarizes resources provided in Seminar 2 in the 2022-2023 IMI BIGDataAIHUB’s Seminar Series.

 

 

                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.

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