The initial stages of the course sought to establish an understanding of the underlying mechanics of generative AI. These predictive language models draw from a wealth of human text data to craft responses with such precision they could fool you into thinking you were chatting directly with another human being.
As I advanced, my “a-ha” moment came as I began to train the bot, setting boundaries for its responses using lines of Python. I realized I was not just communicating with ChatGPT, but teaching it as a language content moderator. As someone with little to no experience in Python programming, I was surprised by how easily I was able to grasp the coding language during the course.
“It’s designed to be user-friendly, helping improve workflows in any industry or even in personal projects, like setting up a smart home,” said Omar Alkhatib, who was involved in course testing and is an embedded systems engineer with Enterprise Technology. “Our goal was simple — make everyday tasks for fellow developers easier and more efficient using Python.”
“All CareerCatalyst courses are designed to fit a range of schedules and be relevant to a broad range of jobs and industries, but what’s unique is that this course is particularly beginner-friendly,” said Meredyth Hendricks, Associate Vice President of CareerCatalyst. “We want people in any field to be able to use Python scripts to harness generative AI more efficiently in a short amount of time, even if they have never written code before.”
For example, I trained the bot to respond only to ASU-centric information. If questioned about another institution, say Washington State University, it politely referred to other resources. It was like I had an exclusive ASU aficionado at my fingertips, my own Sun Devil chatbot
