Agenda
1) Ingest data into S3 and use Amazon Athena and SageMaker Studio notebooks to explore the data
2) Visualize dataset with SageMaker Studio, Matplotlib, and Seaborn
3) Prepare data for training a BERT model with SageMaker Processing Jobs
4) Train a BERT model with TensorFlow 2.x and Keras ML and SageMaker Training Jobs
5) Deploy your BERT model as a REST endpoint as a SageMaker Endpoint
6) Build a repeatable MLOps pipeline with SageMaker Pipelines
Book
Data Science on AWS: ttps://www.amazon.com/dp/1492079391/
Authors
Chris Fregly: / cfregly
Antje Barth: / antje-barth
Website
https://www.datascienceonaws.com/
Workshop
https://www.eventbrite.com/e/full-day...
Monthly Webinar
https://www.meetup.com/data-science-o...
Github Repo
https://github.com/data-science-on-aw...
Meetup
https://www.meetup.com/data-science-o...