Join us to hear about best practices and lessons about institutions who successfully implemented artificial intelligence (AI) and machine learning (ML) followed by a virtual hands-on workshop.

In this workshop, you will get hands-on experience with AWS AI/ML services such as Sagemaker/Transcribe/Canvas/Studio Lab, building and deploying machine learning models on AWS. Our solutions architects will share best practices and perform demos for preparing data, training models and deploying them in production. You will also learn how to monitor and troubleshoot your models.

This workshop is provided at no cost. Spaces are limited, so be sure to register now!

Part 1: Overview
Join us for the first 30 min to hear about real world examples of how colleges and universities leverage AI and ML.

Part 2: Hands-on workshop
Stay on for this hands-on workshop to learn about the AI and ML tools and approaches, applied for higher education guided by our solution architects. No previous AWS experience required.

Who should attend

Higher education IT decision makers and technical professionals who work or would like to work with data and analytics technologies, such as directors, business analysts, IT managers, project managers, data architects, data administrators, and developers.

No previous knowledge of AWS is needed to participate.

Agenda

Agenda:

Speakers

Kiran Challapalli
Deep Tech Business Development Manager, AWS

Sanjay Tiwary
Senior Specialist AI/ML Solutions Architect, AWS