An in-depth workshop on how to do preparatory analysis work to automate workflows using AI / ML. This course will include some examples of actual automation but will focus heavily on the documentation and process engineering required to automate tasks successfully. Attendees are expected to come to the class with either real-world or made-up problems that we will use to lay the groundwork for process automation. THERE WILL BE PRE-WORK.
After taking this course, you will be able to:
*Attendees must earn an 70% or higher on the final course test in order to earn 0.4 CEUs.
Jason is a serial entrepreneur, data scientist, machine learning engineer, AI nerd, and champion of sustainable energy, is a leader in the intersection of technology and renewable resources. Prior to co-founding Plentiful, Dr. Trager led machine learning and geospatial data science teams for several years on large teams, where his guidance was instrumental in advancing data-heavy, technical product development at scale. His entrepreneurial journey includes the leadership of Sustainabilist, a venture that he successfully led to acquisition.
He earned a Ph.D. from UC Berkeley, where he studied the application of statistical process control (SPC) and other mass production methodologies for energy efficiency in buildings. Jason always has a book recommendation and funny startup ideas – Just ask! He views it as his responsibility to help people find work in sustainable energy fields. His expertise is not just confined to the professional sphere; he is an avid collector of renewable energy art.