Method
Flexible
Term
WINTER
Cost
$650

Course Description

Learn the fundamentals of large language models and build practical AI applications for business use. This course covers the transformer architecture basics, prompt engineering, and API integration. Through hands-on projects, you'll develop hands-on skills in crafting effective prompts, creating conversational interfaces, and using popular large language model (LLM) frameworks to build real-world applications, including domain-specific chatbots, productivity tools, and sentiment analysis solutions for customer feedback.

Prerequisites/Skills Needed

Gen AI Fundamentals course (such as AISV.814) or familiarity with generative AI and LLMs

 

  • Flexible Attend in person or via Zoom at scheduled times.
Schedule
Date Start Time End Time Meeting Type Location
Mon, 02-02-2026 6:30pm 9:30pm Flexible SANTA CLARA / REMOTE
Mon, 02-09-2026 6:30pm 9:30pm Flexible SANTA CLARA / REMOTE
Mon, 02-23-2026 6:30pm 9:30pm Flexible SANTA CLARA / REMOTE
Mon, 03-02-2026 6:30pm 9:30pm Flexible SANTA CLARA / REMOTE
Mon, 03-09-2026 6:30pm 9:30pm Flexible SANTA CLARA / REMOTE
Mon, 03-16-2026 6:30pm 9:30pm Flexible SANTA CLARA / REMOTE
Mon, 03-23-2026 6:30pm 9:30pm Flexible SANTA CLARA / REMOTE
Mon, 03-30-2026 6:30pm 9:30pm Flexible SANTA CLARA / REMOTE
 

This class meets simultaneously in a classroom and remotely via Zoom. Students are expected to attend and participate in the course, either in-person or remotely, during the days and times that are specified on the course schedule. Students attending remotely are also strongly encouraged to have their cameras on to get the most out of the remote learning experience. Students attending the class in-person are expected to bring a laptop to each class meeting.

No meeting on February 16, 2026. To see all meeting dates, click “Full Schedule” below.

You will be granted access in Canvas to your course site and course materials approximately 24 hours prior to the published start date of the course.

This course applies to these programs:

Demo