A deep dive into specific problems and real-world automation including how to evaluate a process by setting up feedback loops. We will go into practical steps on tuning and automating a process and then dive deeper into quality assurance feedback loops and how to evaluate deeper business processes for automation opportunities. We will also do a deep dive into prompt engineering and discuss practical aspects of making effective use of LLMs and other AI tools. 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.