Dear Spark Devs, Anthony Joseph and I are teaching two large MOOCs <http://en.wikipedia.org/wiki/Massive_open_online_course> this summer on Apache Spark and we are looking for participants from the community who would like to help us administer the course.
Anthony is a Professor in Computer Science at UC Berkeley in the AMPLab, and his course <https://www.edx.org/course/v2/introduction-big-data-apache-spark-uc-berkeleyx-cs100-1x> will be an introduction to big data analysis using Spark. I am an Assistant Professor in Computer Science at UCLA (and a former AMPLab post-doc), and my course <https://www.edx.org/course/scalable-machine-learning-uc-berkeleyx-cs190-1x> will be about using Spark for Machine Learning pipelines. The courses will be taught in Python, and will be freely available via edX, a non-profit MOOC provider that partners with many top universities across the world. We're looking for volunteer Teaching Assistants (TAs) with at least two of the following skills: ability to deal with Spark or Python setup issues, basic Spark programming and debugging experience, basic ML knowledge, and basic operations skills (writing and using scripts, helping with username/password issues, etc.). TAing is a great opportunity to interact with a wide audience of Spark enthusiasts, and TAs will be formerly listed as part of the course staff on the edX website. We are looking for a time-commitment of roughly 10hrs per week in May and at least 20 hours a week in June and July, though we are quite flexible about specific working hours and location (since we will have students around the world). We can also offer a stipend. Please contact Anthony and me directly if you are interested. Thanks, Ameet and Anthony
