https://heasarc.gsfc.nasa.gov/docs/heasarc/meetings.html#M100
https://www.cadc-ccda.hia-iha.nrc-cnrc.gc.ca/en/meetings/this-year/
The GROWTH astronomy school is a 3-day workshop for advanced undergraduates and graduate students focused on teaching the next generation of astronomers the skills and techniques for multiwavelength follow-up of transient astronomical sources. Sessions are splits by wavelength range and include an introductory lecture followed by an interactive workshop that walks students through data analysis modules with mock or real datasets. Lectures and programming exercises from each school are made available online to all students and educators. There are twelve such "modules" each providing a series of lessons and worked examples on different aspects of time-domain astronomy.
Python notebooks with the tutorials:
https://nbviewer.jupyter.org/github/growth-astro/growth-school-2020/tree/master/
http://growth.caltech.edu/growth-astro-school-2018-resources.html
Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
Covers a wide range of topics; https://lsstdesc.org/pages/DESchool.html