Learn how to design and evaluate agentic AI solutions for real business use cases, using Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG). You’ll build workflows that improve decision-making, productivity, and operational efficiency.
The Generative AI for Business Applications course at the University of Texas at Austin is designed to equip professionals with the skills needed to harness the power of AI in real-world business scenarios. Over the duration of three months, students will delve into the design and evaluation of agentic AI solutions, utilizing Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) techniques. This program aims to enhance decision-making, productivity, and operational efficiency across various business functions.
Core learning areas
Courses included
Capstone / assessment
Details regarding assessments and final projects are available on the program's official website. Prospective students should verify evaluation formats and grading methodologies directly through the program's resources.
While specific GRE, GMAT, or GPA requirements for this course have not been disclosed, applicants are advised to submit an online application form. For the most current entry criteria, including any prerequisites, please consult the program website.
Intended audience
This program is tailored for:
Graduates of the Generative AI for Business Applications course will be well-positioned for a variety of roles in the evolving landscape of AI in business. The skills acquired will enable them to contribute effectively to decision-making processes, enhance productivity, and drive operational efficiencies in their organizations. Additionally, those completing this program may be eligible to apply for post-study work permits, subject to immigration regulations and specific country requirements.
Next step: For more detailed information about the program, including study locations and application procedures, please review the program's official website.
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