ML deployment with AWS
Tentative agenda for the AWS Immersion Day on May 31st
|
Time |
Title |
Type |
|
10:00 am |
Introduction to ML on AWS: Amazon SageMaker and managed services. |
Presentation |
|
10:30 am |
Training and Deploying models on Amazon SageMaker |
Presentation |
|
11:00 am |
Account claiming and first lab |
LAB |
|
11:45 am |
Break |
|
|
12:00 pm |
Second Lab |
LAB |
|
12:40 pm |
Advanced topics (MLOps), and final Q&A |
Presentation |
It will be assumed that participants know basic Python, know how to work on a Jupyter Notebook, understand basic commands on libraries such as Pandas and SciKit Learn, and have a high level understanding of what is Pytorch/ Tensorflow. Each participant will be given an test AWS account that will be active until Friday afternoon so it is suggested that each participant works on its own laptop. We will do 2 labs together, but there will more labs available for those interested into doing further tests or exploring other features not covered during the 3 hours.
In order to participate, please send your first name and email address to adeline.scharfenberg@uni-hamburg.de
Universität Hamburg
Adeline Scharfenberg