Red Hat AI Roadshow DC

Event Overview

A hands-on workshop showing you how to build, deploy and manage AI solutions anywhere and at scale

A full-day experience, the Red Hat AI roadshow gives you insight into how to accelerate time to value of AI-enabled applications that scale across hybrid cloud. So you can increase team productivity, enhance customer experiences, and drive innovation with enterprise-ready AI, including generative and predictive AI. You’ll also see how you can measure the business impact of an AI initiative.

As part of the roadshow attendees will have the opportunity to build, train, and deploy AI models and integrate them into an application with a hands-on lab. They’ll experience what it is like to go from an idea to building an accurate model to having a production-ready application.

What you’ll learn and experience:

What it takes to build a secure, scalable AI-enabled application and show the business impact it makes
How generative AI is being used as a strategic enabler by enterprises
How Red Hat AI accelerates AI innovation and reduces the operational cost of developing and delivering AI solutions across hybrid cloud environments
How to get consistent, fast and cost-effective inference
Why and how to align models to private enterprise data
Innovating with Agentic AI
Approaches to other common AI obstacles: AI safety & security, serving private models to internal users, and measuring value of AI
Hands-on experience working with a MLOps platform: Build and train different model types, integrate them into a frontend application to create new features, and test the application as a user. No AI experience is required

Who should attend:

AI engineer
Data engineers
Data scientists
ML engineer
IT decision makers
IT directors
Infrastructure architects
Infrastructure specialists
Enterprise architects
Developers
Application architects
Enterprise architects
Developer team leads

Know before you go

Operations, developers, and data science practitioners doing the hands-on lab should have these suggested tools and knowledge of these areas:

A laptop computer running Windows, MacOS, or Linux with the Firefox or Chrome web browser.
Entry-level Kubernetes concepts.
A general understanding of Linux containers (e.g., Docker, CRI-O, etc.).
General knowledge of AI terminology (e.g., machine learning, deep learning, foundation models, etc.).
No AI experience is required.

Expected Number of Attendees

Relevant Government Agencies

Air Force, Army, Navy & Marine Corps, Intelligence Agencies, DOD & Military, Office of the President (includes OMB), Dept of Agriculture, Dept of Commerce, Dept of Education, Dept of Energy, Dept of Health & Human Services, Dept of Homeland Security, Dept of Housing & Urban Development, Dept of the Interior, Dept of Justice, Dept of Labor, Dept of State, Dept of Transportation, Dept of Treasury, Dept of Veterans Affairs, EPA, GSA, USPS, SSA, NASA, Other Federal Agencies, Legislative Agencies (GAO, GPO, LOC, etc.), Judicial Branch Agencies, State Government, County Government, City Government, Municipal Government, CIA, FEMA, Office of Personnel Management, Coast Guard, National Institutes of Health, FAA, Census Bureau, USAID, National Guard Association, EEOC, Federal Government, State & Local Government, FDA, Foreign Governments/Agencies, NSA, FCC