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Introduction
Airflow Integration
Introduction
High-Level Solution
Airflow Concepts
Airflow Setup
Building an ML Workflow
Putting it all together
Clean up
Conclusion
Amazon Personalize
Lite Version
Introduction
Building Your Environment
Cloud Formation Wizard
Agenda
Using the Notebooks
After the Notebooks
Full Version
Overview
Deploy the App
Setup your Jupyter Notebook
Creating Parallel Solutions
Configure the Video Recommendation App
Running the Video Recommendation App
Create Additional Personalize Campaigns
Plug In the Recommendation Model(s)
Additional Campaigns to Build
Cleaning up
Conclusion
SageMaker
Create the Notebook
Clone the Service Repos
Step Functions
Upload the data to S3
Create the Crawler
Create the Glue Job
Orchestration
Create Role
Train Model Lambda
Await Model Lambda
Deploy Model Lambda
Use Model to Predict
Create Step Function
Schedule the State Machine
Cloudformation Template
Cleanup
Cleanup the Workspace
Conclusion
What Have We Accomplished
More
More Resources
Authors
GitHub Project
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GitHub Repos
Sagemaker Step Functions
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> Conclusion
Conclusion