Welcome, fellow data-science builder...
...it is time to practice your machine learning skills.
Whether you are a beginner ML enthusiast, an experienced ML practitioner, a data-science wizard, or a truly ML/AI ninja, in this workshop you can choose the labs that best suits your level for experimenting with the many ML/AI services and features available in AWS.
Lab #1: Build, Train, and Deploy with Amazon SageMaker
Choose one of the labs below using the side bar on the left, and follow the instructions provided...
Lab | Level | Services/Features Involved | Estimated Time |
---|---|---|---|
Intro SageMaker workshop | Beginner | * SageMaker Notebook * SageMaker SDK * SageMaker Built-in Algorithms | |
Churn prediction with SageMaker | Beginner | * SageMaker Notebook * SageMaker SDK * SageMaker Built-in Algorithms | |
SageMaker debugger & model monitor | Advanced | * SageMaker Debugger * SageMaker Monitor | |
SageMaker multi-model endpoints monitoring | Advanced | * SageMaker Debugger * SageMaker Monitor * SageMaker Multi-model Endpoints | |
Autopilot on SageMaker Studio | Intermediate | * SageMaker Autopilot * SageMaker Experiments | |
Autopilot with SageMaker SDK | Intermediate | * SageMaker Autopilot * SageMaker Experiments | |
Bring your own algorithm to Amazon SageMaker | Advanced | * SageMaker Notebook | |
Use SageMaker for model explainability | Intermediate | * SageMaker Clarify |
Lab #2: Explore the AWS Artificial Intelligence Services
Choose one of the labs below using the side bar on the left, and follow the instructions provided...
Lab | Level | Services/Features Involved | Estimated Time |
---|---|---|---|
Rekognition video analyzer | Intermediate | * Rekognition Object Detection | |
Rekognition Custom Labels | Beginner & Advanced | * Rekognition Custom Labels | |
Rekognition powered Twitter bot | Intermediate | * Rekognition Face Detection | |
Textract and Comprehend for documents analysis | Intermediate | * Textract Text Extraction * Comprehend Entity Detection * Elasticsearch indexing | |
Polly podcast | Beginner | * Polly Text-to-speech | |
Basic Lex bot | Intermediate | * Lex Chatbot | |
Amazon Polly Builder | Beginner | * Amazon Polly Speech Builder |
Lab #3: Deploy your ML workflows in production with AWS
Choose one of the labs below using the side bar on the left, and follow the instructions provided...
Lab | Level | Services/Features Involved | Estimated Time |
---|---|---|---|
MLOps workshop | Intermediate | * SageMaker SDK * ECR * CodeCommit + CodePipeline + CodeBuild | |
Workflow with Data Science SDK | Intermediate | * SageMaker SDK * StepFunctions * Data Science SDK | |
Serverless AI workshop | Advanced | * SageMaker Notebook * Sagemaker Batch Transform * Lambda | |
Sagemaker Airflow workshop | Advanced | * SageMaker Notebook * Sagemaker Batch Transform * Apache Airflow |