Introduction to AWS Basics
Introduction to AWS Basics
October 22, 2018 | 10 a.m. – 12 p.m.
Atkinson Hall, Qualcomm Institute, UC San Diego
Please Register Here
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
AWS Serverless Applications in Python
November 5, 2018 | 10 a.m. – 12 p.m.
Atkinson Hall, Qualcomm Institute, UC San Diego
Please Register Here
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
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
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
PAST EVENTS
SageMaker Workshop – Build, Train and Deploy ML Models at Scale with Amazon SageMaker
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
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.
