The program includes pre-work, intensive practical training, industry certification and a job outcomes program in collaboration with industry partners. The course content has been tailored to give you the skills that are demanded by businesses in today’s rapidly evolving job market.
DurationThe Data Science & AI Program can be taken in either 24 weeks part time or 12 weeks full time and is designed for career-driven professionals to transition into the big data and AI industry.
The program includes pre-work, intensive practical training, industry certification and a job outcomes program in collaboration with industry partners. The course content has been tailored to give you the skills that are demanded by businesses in today’s rapidly evolving job market.
The best way to learn about UTSA is to experience it firsthand. Located in the nation’s seventh-largest city, our UTSA Ambassadors and staff are excited to showcase what UTSA has to offer you. We offer many ways to discover all UTSA has to offer and what it means to be a Roadrunner.
A college campus will be your home for several years, so touring campus is a big deal. Led by student ambassadors, see what our campus looks like and what UTSA can do for you to enable you to reach your educational goals. Group tours are also available.
More than just a campus tour, various academic or campus partners host in-person visits on campus that could include a presentation, specialized tour of certain facilities, student panels, a meet-and-greet with faculty and staff, and more.
This course tracks along the Python vertical and integrates a range of topics at the nexus of computer science, data science, and artificial intelligence, with a focus on natural language processing.
Gain essential Artificial Intelligence skills with hands-on instruction from industry leaders working at the best global tech companies like Amazon, Meta, and Microsoft. Learn what AI is, how it works, and how the technology has developed over time.
This course introduces principles of artificial intelligence, machine learning, and deep learning with a focus on applied techniques. Students will examine software, programming languages, and algorithms used to parse and analyze data and automate computer decision-making processes.
Machine learning is a branch of Artificial Intelligence wherein computers have the ability to learn without being explicitly programmed.
Learn to craft AI prompts for maximum results, incorporate AI into your design workflows, and improve the human-machine experience as it relates to responsibility, equity, and safety.
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