AFGROW COM Automation with Python Training Class

Enhance your productivity with AFGROW by attending our virtual two-day Python training course. This example-driven course is designed for users with a basic understanding of AFGROW and Python, to teach them to how to effectively use these two technologies together.

The course takes place over two 4 hour and 30 minutes sessions on two consecutive days. Each session consists of a two-hour lecture, a 30 minutes break, and another two-hour lecture.

For more information about the AFGROW COM Automation with Python course or for inquiries about scheduling a 2-day virtual training, please contact Jimmy Lambert.

The course will take place over two days on Tuesday, January 20th and Wednesday, January 21th, 2026. Each day will have a session from 9AM-11AM EST, a 30-minute break, and a session from 11:30AM-1:30PM EST.

Instructors: Jimmy Lambert - (937)438-0300, jLambert@lextechcentral.com

Date: January 20 - 21, 2026

Time: 9 AM to 1:30 PM EST

Class Size Limitation:This class will be limited to a maximum of 16 students to permit individual attention to each student.

Cost: $275.00/person

Register Online for Training

Course Description: This course will include:
  • The basics of using AFGROW’s Component Object Model (COM) functionality within Python
  • How to automate your AFGROW workflow and run mass-predictions
  • Instruction on building and modifying spectra with Spectrum Manager’s COM interface
  • One-on-one guidance with classwork examples
  • Exclusive course materials, including several example and template programs
Those who register before January 5th have the opportunity to submit requests for the final class example, so that it can be modified to their specific needs.

Course Outline: (select to view class syllabus)

Registration Deadline: January 17th, 2026

Cancellation Policy: Cancellations before January 17, 2026 will receive a 50% refund or full credit toward a class held in 2026-2027. Cancellations after January 17, 2026 may only receive full credit for a class held in 2026-2027.

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