AI for Business Challenges
QST MS 777
Students will gain firsthand experience with language models like GPT, learning the intricacies of model fine-tuning, prompt engineering and its various frameworks, and deployment strategies through interactive sessions and real-world projects. The course also delves into advanced issues critical to the responsible implementation of AI including privacy, ethics, bias, data integrity, and challenges like mitigating hallucinations in AI outputs. By the end of the course, participants will be equipped not just with theoretical knowledge but also with practical skills, empowering them to harness the potential of Generative AI in innovative and strategic ways.
SPRG 2026 Schedule
Section | Instructor | Location | Schedule | Notes |
---|---|---|---|---|
A1 | Lubin | F 12:50 pm-3:15 pm |
SPRG 2026 Schedule
Section | Instructor | Location | Schedule | Notes |
---|---|---|---|---|
A2 | Welch | T 6:30 pm-9:15 pm |
Note that this information may change at any time. Please visit the MyBU Student Portal for the most up-to-date course information.