Amazon Web Services is hosting a three part series that illustrates the variety of ways AWS can support you on your journey as a founder and a startup. Open to all Harvard & MIT I.D holders.
Session 1: Best Practices for Setting up Your AWS Account
10 – 11:15am
This session will discuss base level best practices for getting started on AWS. These include securing the root account, creating users, groups and permissions, discussing roles and policies, using the AWS certificate manager to generate a cert and use with your website/app/api. We’ll also discuss how to set your AWS infrastructure (VPC, serverless and hybrids). Led by Startups Manager Vincent Ponzo and Solutions Architect Itzik Paz of the AWS Startups team.
Session 2: How to Build Your Cloud Solution
12 – 2pm
Join for a pizza lunch at noon, and then at 12:30 the session will kick off by addressing the most common questions founders have when launching on AWS. Learn how to use AWS to build your web-stack, how to choose the right database and how to build your machine learning solution. Most importantly, learn how to build a secure and compliant solution from the start. Stay for Q&A until 2pm.
Session 3: Machine Learning Lab with SageMaker
2:30 – 4:30pm
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. This hands-on workshop demonstrates the main features of SageMaker via a set of straightforward examples for common use cases. Learn how to do exploratory data analysis, run hosted training, and stand up hosted model endpoints via SageMaker Jupyter notebook instances, the AWS CLI, and the SageMaker console.