Amazon Web Services
Introduction to AWS Basics - OCTOBER 22, 2018
Big Data Day Camp
Big Data Tools & Techniques - OCTOBER 25-26, 2018
Distinguished Speakers in Communication Theory & Systems
Seminar Series Fall 2018 | OCTOBER 1 to DECEMBER 3

2018 Schedule

October 8, 2018
SageMaker Workshop

October 22, 2018
Introduction to AWS Basics

November 5, 2018
AWS Serverless Applications in Python

December 3, 2018
Machine Learning on AWS with SageMaker

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Introduction to AWS Basics

October 22, 2018 |  10 a.m. – 12 p.m.
Atkinson Hall, Qualcomm Institute, UC San Diego
Please Register Here

Learn about core AWS services for compute, storage, database and networking. We will also do a hands-on lab where you will be able to launch AWS virtual machines (EC2 instances) and create your first S3 storage bucket.

AWS Serverless Applications in Python

November 5, 2018 |  10 a.m. – 12 p.m.
Atkinson Hall, Qualcomm Institute, UC San Diego
Please Register Here

AWS Serverless Applications in Python: With AWS Serverless computing you can run applications and services without having to provision, scale, and manage any servers. In this workshop, we will introduce the basics of building serverless applications and microservices using services like AWS Lambda, AWS Step Functions, Amazon API Gateway, Amazon DynamoDB, Amazon Kinesis, and Amazon S3. You’ll learn to build and deploy your own serverless application using these services for common use cases like web applications, analytics, and more.

Machine Learning on AWS with SageMaker

December 3, 2018 |  10 a.m. – 12 p.m.
Atkinson Hall, Qualcomm Institute, UC San Diego
Please Register Here

Amazon SageMaker is a fully- managed platform that enables developers and data scientists to quickly and easily build, train, and deploy machine learning models at any scale. Amazon SageMaker removes all the barriers that typically slow down developers who want to use machine learning. We will show you how to train and build a ML model on SageMaker then how to deploy the inference end points on tools like AWS Greengrass or Serverless applications.

PAST EVENTS

SageMaker Workshop – Build, Train and Deploy ML Models at Scale with Amazon SageMaker

October 8, 2018 |  9:30 a.m. – 12:30 p.m.
Atkinson Hall, Qualcomm Institute, UC San Diego
Please Register Here

In this tutorial participants learn to solve Machine / Deep Learning problems using the tools available in the Amazon Web Services (AWS) cloud. The development and application of machine learning models is a vital part of scientific and technical computing. Increasing model training data size generally improves model prediction and performance, but deploying models at scale is a challenge. Participants will learn to use Amazon SageMaker, a new AWS service that simplifies the machine learning process and enables training on cloud stored datasets at any scale.

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