10:00-10:15 Intro to the AWS team
Meet Startups Manager Vincent Ponzo and Solution Architect Roshan Kothari of the AWS Startups team. Learn about the variety of ways AWS can support you on your journey as a founder and a startup.
10:15-11:15 Startups Day One
This session will address 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.
Technical Proficiency: Low/Mid-level technical expertise
11:30-12:30 Lunch will be provided
12:30-1:30 Working session
Best practices for setting-up your AWS account
This hour long 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. Weâll also discuss how to set your AWS infrastructure (VPC, serverless and hybrids).
Technical Proficiency: Mid-level technical expertise
2:30-4:30 AWS SageMaker Lab
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 workshop demonstrates the main features of SageMaker via a set of straightforward examples for common use cases. The first module in particular shows 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.
Technical Proficiency: Mid/high-level technical expertise and basic machine learning knowledge. Relevant to technical founders and those interested in Machine Learning
End of Day: AWS Pizza & Beer happy hour for all ATDC teams