{
	"event_id": "1155596",
	"eventinstance_id": "4223694",
	"calendar": {
		"id": 6812,
		"title": "UCF Research Cyberinfrastructure Events",
		"slug": "ucf-research-cyberinfrastructure-events",
		"url": "https://events.ucf.edu/calendar/6812/ucf-research-cyberinfrastructure-events/"
	},
	"id": "4223694",
	"title": "From Data to Deployed Model: Build, Train, and Fine\u002DTune Machine Learning Models in the Cloud",
	"subtitle": null,
	"description": "\u003Cp\u003EA model trained on a laptop is a good start. Turning it into something your lab can run at scale and share with collaborators usually takes a lot more work. This hands\u002Don workshop walks through the whole machine learning process on AWS, from raw data to a live model that returns predictions on demand.\u003Cbr\u003E\u003Cbr\u003EYou\u0027ll work in a familiar notebook environment with a research dataset. First you\u0027ll prepare the data, then train a neural network on cloud computing resources and deploy it so it answers new requests in real time. You\u0027ll also fine\u002Dtune a pre\u002Dtrained AI language model on your own research vocabulary, which is one of the fastest ways to get specialized results out of today\u0027s foundation models. We\u0027ll finish with practical habits for keeping cloud costs under control.\u003Cbr\u003E\u003Cbr\u003ELearning outcomes:\u003Cbr\u003E\u002D Understand the full machine learning lifecycle, from data preparation to deployment\u003Cbr\u003E\u002D Prepare research data for training and avoid common mistakes that skew results\u003Cbr\u003E\u002D Train models on cloud computing resources without managing any hardware\u003Cbr\u003E\u002D Deploy a trained model so it returns predictions in real time\u003Cbr\u003E\u002D Fine\u002Dtune a pre\u002Dtrained foundation model for a research\u002Dspecific task\u003Cbr\u003E\u002D Manage and clean up cloud resources to keep costs predictable\u003Cbr\u003E\u003Cbr\u003E\u003Cbr\u003EThis event is not being recorded. Any materials provided 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 ResearchITEvents@ucf.edu to request access to the materials two business days after the completion of the event if you did not register.\u003C/p\u003E\u000A\u003Cp\u003E\u003C/p\u003E\u000A\u003Cp\u003EPresented by \u003Ca href\u003D\u0022https://rci.research.ucf.edu/events/fall\u002D2024\u002Dworkshops\u002Dspeakers/#gabriel\u002Dbrackman\u0022 target\u003D\u0022_blank\u0022\u003EGabriel Brackman\u003C/a\u003E\u003C/p\u003E",
	"location": "Virtual",
	"location_url": null,
	"virtual_url": "https://ucf.qualtrics.com/jfe/form/SV_01yPq3Ndj2WpNVY",
	"registration_link": "https://ucf.qualtrics.com/jfe/form/SV_01yPq3Ndj2WpNVY",
	"registration_info": null,
	"starts": "Thu, 19 Nov 2026 14:00:00 -0500",
	"ends": "Thu, 19 Nov 2026 16:00:00 -0500",
	"ongoing": "False",
	"category": "Workshop/Conference",
	"tags": ["amazon web services","Machine Learning","cloud","research computing"],
	"contact_name": "Office of Research Cyberinfrastructure Events Team",
	"contact_phone": null,
	"contact_email": "ResearchITEvents@ucf.edu",
	"url": "https://events.ucf.edu/event/4223694/from-data-to-deployed-model-build-train-and-fine-tune-machine-learning-models-in-the-cloud/"
}