How to train and deploy your machine learning models with Amazon SageMaker
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The document discusses Amazon SageMaker, a fully managed platform for building, training, and deploying machine learning models at scale. It describes how SageMaker addresses each step of the machine learning workflow, including data processing, model training/tuning, and deployment. Features like SageMaker Studio (IDE), Autopilot (automated model building), and Ground Truth (data labeling) are highlighted. The presentation aims to demonstrate how SageMaker can help users develop and deploy machine learning models more easily.
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How to train and deploy your machine learning models with Amazon SageMaker
- 1. © 2020, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark. Kwunhok Chan Solutions Architect, AWS How to Train and Deploy your Machine Learning Models with Amazon SageMaker
- 2. © 2020, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark.© 2020, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark. Sponsor
- 3. © 2020, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark. Have Fun and Win our Prize! The first 20 people who answer the questions most accurately will get our prize today
- 4. © 2020, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark. Webinar Series https://aws.amazon.com/webinars/hk-webinar-series/
- 5. © 2020, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark. The AWS ML Stack Broadest and most complete set of Machine Learning capabilities VISION SPEECH TEXT SEARCH CHATBOTS PERSONALIZATION FORECASTING FRAUD DEVELOPMENT CONTACT CENTERS Ground Truth AWS Marketplace for ML Neo Augmented AIBuilt-in algorithms Notebooks Experiments Processing Model training & tuning Debugger Autopilot Model hosting Model Monitor Deep Learning AMIs & Containers GPUs & CPUs Elastic Inference Inferentia FPGA Amazon Rekognition Amazon Polly Amazon Transcribe +Medical Amazon Comprehend +Medical Amazon Translate Amazon Lex Amazon Personalize Amazon Forecast Amazon Fraud Detector Amazon CodeGuru AI SERVICES ML SERVICES ML FRAMEWORKS & INFRASTRUCTURE Amazon Textract Amazon Kendra Contact Lens For Amazon Connect SageMaker Studio IDE Amazon SageMaker DeepGraphLibrary
- 6. © 2020, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark. The machine learning workflow is iterative and complex Prepare Build Train & Tune Deploy & Manage 101011010 010101010 000011110 Collect and prepare training data Choose or build an ML algorithm Set up and manage environments for training Train, debug, and tune models Deploy model in production Manage training runs Monitor models
- 7. © 2020, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark. Fully managed data processing jobs and data labeling workflows One-click collaborative notebooks and built- in, high performance algorithms and models One-click training Debugging and optimization One-click deployment and autoscaling Amazon SageMaker helps you build, train, and deploy models Visually track and compare experiments Automatically spot concept drift Fully managed with auto-scaling for 75% less Prepare Build Train & Tune Deploy & Manage 101011010 010101010 000011110 Collect and prepare training data Choose or bring your own ML algorithm Set up and manage environments for training Train, debug, and tune models Deploy model in production Manage training runs Monitor models Add human review of predictions Web-based IDE for machine learning Automatically build and train models
- 8. © 2020, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark. Fully managed data processing jobs and data labeling workflows One-click collaborative notebooks and built- in, high performance algorithms and models One-click training Debugging and optimization One-click deployment and autoscaling Amazon SageMaker helps you build, train, and deploy models Visually track and compare experiments Automatically spot concept drift Fully managed with auto-scaling for 75% less Prepare Build Train & Tune Deploy & Manage 101011010 010101010 000011110 Collect and prepare training data Choose or bring your own ML algorithm Set up and manage environments for training Train, debug, and tune models Deploy model in production Manage training runs Monitor models Add human review of predictions Web-based IDE for machine learning Automatically build and train models
- 9. © 2020, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark. • Reduce data labeling costs by up to 70% • Access labelers through Amazon Mechanical Turk, Amazon approved vendors, or use private human labelers • Achieve accurate results quickly Build highly accurate training datasets using machine learning Amazon SageMaker Ground Truth
- 10. © 2020, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark. Successful models require high-quality data
- 11. © 2020, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark. How Amazon SageMaker Ground Truth Works Automatic annotations Raw data Human annotations Training data Human annotations
- 12. © 2020, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark. Demo
- 13. © 2020, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark. Fully managed data processing jobs and data labeling workflows One-click collaborative notebooks and built- in, high performance algorithms and models One-click training Debugging and optimization One-click deployment and autoscaling Amazon SageMaker helps you build, train, and deploy models Visually track and compare experiments Automatically spot concept drift Fully managed with auto-scaling for 75% less Prepare Build Train & Tune Deploy & Manage 101011010 010101010 000011110 Collect and prepare training data Choose or bring your own ML algorithm Set up and manage environments for training Train, debug, and tune models Deploy model in production Manage training runs Monitor models Add human review of predictions Web-based IDE for machine learning Automatically build and train models
- 14. © 2020, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark. Fully integrated development environment (IDE) for machine learning Amazon SageMaker Studio (Preview) Organize, track, and compare thousands of experiments Share notebooks without tracking code dependencies Get accurate models with full visibility & control without writing code Automatically debug errors, monitor models, & maintain high quality Code, build, train, deploy, & monitor in a unified visual interface
- 15. © 2020, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark. Demo
- 16. © 2020, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark. Get started with Amazon SageMaker Amazon SageMaker Studio Integrated Development environment(IDE) for Machine Learning Amazon SageMaker Autopilot Automatically build and train models Amazon SageMaker Model Monitor Automatically detect concept drift Amazon SageMaker Notebooks One-click notebooks with elastic compute Amazon SageMaker Experiments Capture, organize, and compare every step Amazon SageMaker Neo Train once, deploy anywhere AWS Marketplace Pre-built algorithms, models, and data Amazon SageMaker Debugger Debug and profile training runs Automatic Model Tuning One-click hyperparameter optimization Amazon Augmented AI Add human review of model predictions Amazon SageMaker GroundTruth Build and manage training dataset Prepare Build Train & Tune Deploy & Manage Processing Job Supports Python or Spark One Click Training Supports supervised, unsupervised & RL One Click Deployment Supports real-time, batch & multi-model Amazon Elastic Inference Auto scaling for 75% less
- 17. © 2020, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark. Resources Amazon SageMaker Webpage https://aws.amazon.com/sagemaker Developer Resources https://aws.amazon.com/sagemaker/developer-resources/ Sample Notebooks https://github.com/awslabs/amazon-sagemaker-examples SageMaker Workshop https://sagemaker-workshop.com/
- 18. © 2020, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark. AWS Asia Pacific (Hong Kong) Region is Now Open Visit the AWS Hong Kong Region Website Register to the upcoming Webinars
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- 22. © 2020, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark. Thank you!