ST. GEORGE — To meet the increasing need for technology-based education, Utah Tech University is expanding its Learn & Work in Utah program to include courses on ChatGPT and generative AI.
Supported through the Utah System of Higher Education, the Learn & Work in Utah program helps working adults upskill in their jobs or improve future career options, according to a news release.
Utah Tech’s Learn & Work program participants will gain access to more than 7,000 online courses and resources offered through Pluralsight, a technology workforce development company, completely free of charge. Recently, Pluralsight added courses on ChatGPT and generative AI.
“The Utah Tech Learn & Work program with Pluralsight provides specialized education in high-demand tech fields, imparting practical technology and soft skills for real-world scenarios,” Mark Adkins, Utah Tech’s Learn & Work Program coordinator, said in a news release. “This year’s emphasis on AI offers a unique chance to explore and apply cutting-edge AI technologies, leveraging resources such as ChatGPT.”
To qualify for Utah Tech’s Learn & Work program, participants must have a high school diploma or its equivalent and be a resident of Utah.
Utah Tech’s Learn and Work Program offers participants the opportunity to take classes for free and develop new skills on their own schedule, Jan. 20, 2023 | Photo courtesy of Utah Tech University, St. George News
“The Agile Project Manager certification course from Utah Tech’s Learn & Work program not only prepared me to pass my PMI-ACP test on my first try, but it also sharpened my critical thinking and problem-solving skills,” Miriam Solen, a Learn & Work program participant, said in a news release. “Thanks to this training led by industry experts, I was prepared to land a cybersecurity agile project management internship. I truly feel that Utah Tech is 100 percent committed to helping students build their professional journey.”
Because Pluralsight’s platform is completely online, students enjoy full flexibility of both their study schedule and pacing. In addition to selecting courses of interest, participants can choose to tap into 20 specialized training tracks focused on high-demand technological fields, ranging from big data to the cloud, network and security engineering to scrum. Although students can choose their own study schedule, a time commitment of between 5 to 10 hours of work per week is recommended.
In addition to free access, upon successfully completing an industry-recognized certification exam, the cost of one exam is eligible for reimbursement by Utah Tech University. Click here to learn more and apply for the Learn & Work Program.