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AWS Full Day Workshop
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Amazon AWS will be taking a much more active role in helping the ATDC community in 2019. Amazon will be hosting 3 days of workshops and meetings with ATDC companies on January 23rd, 24th and 25th, so mark your calendars! Amazon is hosting one-on-one meetings and a full day workshop. This is an amazing (and free) opportunity for ATDC, please take full advantage!

1/24/2019
When: 1/24/2019
10:00 am - 4:30 pm
Where: Hodges Room
75 5th St. N.W.
3rd Floor
Atlanta, Georgia  30308
United States
Presenter: AWS


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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.  We’ll also discuss how to set your AWS infrastructure (VPC, serverless and hybrids).
Technical Proficiency: Mid-level technical expertise

1:30-2:00  Q&A 
2:00-2:30 Break
 
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



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