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AI For Energy Services Companies 201 – An In-Depth Practicum on Prompt Engineering, Combining Tools, and Enabling Processes

April 23 @ 12:00 PM - 4:00 PM EDT

Event Details

*To register with Group Member Points, email [email protected]
Awards 0.4 CEUs / 4 PDHs (Click for more info)
AESP is accredited by the International Association for Continuing Education and Training (IACET). AESP complies with the ANSI/IACET Standard, which is recognized internationally as a standard of excellence in instructional practices. As a result of this accreditation, AESP is authorized to issue the IACET CEU. AESP instructors disclose in advance that they have no interest in any product, service, or material discussed during the course. This information is stated orally and in the training course handbook.

Course Description:
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:

  •  Implement the work of automating significant steps in a process. 
  •  Utilize prompt engineering techniques and the integration of non-LLM tools.
  •  Collaborate and share work with co-workers to prepare company to increase AI-driven automation to boost productivity.

*Attendees must earn an 70% or higher on the final course test in order to earn 0.4 CEUs.


Jason S. Trager, Ph.D.

Jason S. Trager, Ph.D.

Founder, Plentiful.ai

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.


April 23
12:00 PM - 4:00 PM EDT
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