BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//NextToU//EN
CALSCALE:GREGORIAN
BEGIN:VEVENT
UID:cefe6221-0361-4e0b-a0d3-b4d0954c1915@nexttoyou
DTSTAMP:20261106T164137Z
DTSTART:20261119T190000Z
DTEND:20261119T210000Z
SUMMARY:From Data to Deployed Model: Build\, Train and Fine-Tune Machine L
 earning Models in the Cloud
LOCATION:Virtual
DESCRIPTION:A model trained on a laptop is a good start. Turning it into s
 omething your lab can run at scale and share with collaborators usually t
 akes a lot more work. This hands-on workshop walks through the whole mach
 ine learning process on AWS\, from raw data to a live model that returns 
 predictions on demand.\n\nYou'll work in a familiar notebook environment 
 with a research dataset. First you'll prepare the data\, then train a neu
 ral network on cloud computing resources and deploy it so it answers new 
 requests in real time. You'll also fine-tune a pre-trained AI language mo
 del on your own research vocabulary\, which is one of the fastest ways to
  get specialized results out of today's foundation models. We'll finish w
 ith practical habits for keeping cloud costs under control.\n\nLearning o
 utcomes:\n- Understand the full machine learning lifecycle\, from data pr
 eparation to deployment\n- Prepare research data for training and avoid c
 ommon mistakes that skew results\n- Train models on cloud computing resou
 rces without managing any hardware\n- Deploy a trained model so it return
 s predictions in real time\n- Fine-tune a pre-trained foundation model fo
 r a research-specific task\n- Manage and clean up cloud resources to keep
  costs predictable\n\nThis event is not being recorded. Any materials pro
 vided by the presenter will be sent to all registrants by the end of the 
 second business day after the conclusion of the event. Please email Resea
 rchITEvents@ucf.edu to request access to the materials two business\n\nht
 tp://next-to-u.app/events/cefe6221-0361-4e0b-a0d3-b4d0954c1915
URL:http://next-to-u.app/events/cefe6221-0361-4e0b-a0d3-b4d0954c1915
END:VEVENT
END:VCALENDAR