Machine Learning on AWS Deep Dive

سرفصل های دوره

01 Introduction

001 Course Introduction

002 How to Follow Along with Demos in This Course

002 awss landing page to create a new account.zip

002 github repository for course files.zip

02 Machine Learning on AWS Tools and Services

001 Section Introduction

002 SageMaker Canvas Overview

002 SageMaker Cost.html

003 Setting Up SageMaker Canvas

003 demo github repository.zip

004 Running Predictions in SageMaker Canvas

005 SageMaker Studio Lab Overview

005 sign-up page for sagemaker studio lab.zip

006 Setting Up a SageMaker Studio Lab Account

006 sagemaker studio lab.zip

007 Exploring the SageMaker Studio Lab Examples

008 SageMaker Studio Overview

009 Setting Up SageMaker Studio for Course Demos

009 github repository for course files.zip

010 Section Summary

03 Preparing Data with SageMaker Data Wrangler and Feature Store

001 Section Introduction

002 Importing Data into Data Wrangler

003 Analyzing and Visualizing Data in Data Wrangler

004 Transforming Data in Data Wrangler

005 Exporting Data for Training

006 Working with the SageMaker Feature Store

007 Ingesting and Accessing Features in SageMaker Feature Store

008 Section Summary

04 Building and Training Models with SageMaker Studio

001 Section Introduction

002 SageMakers Built-In Algorithms.html

002 Using SageMakers Built-In Algorithms

003 SageMakers Algorithms in Action

004 Using Popular Frameworks

005 Working in Script Mode with a Framework

006 Using SageMaker Experiments to Manage Training Jobs

007 Detecting Bias with SageMaker Clarify

007 amazon bias example.zip

007 healthcare risk bias example.zip

008 Using SageMaker for Collaboration

009 Section Summary

05 Deployment and Inference with SageMaker Studio

001 Section Introduction

002 Working with SageMaker Batch Transform

003 Hosting Real-Time Endpoints for Live Inference

004 Load Testing Your Auto Scaling Configuration.html

004 Optimizing Machine Learning Deployments

004 Run a Custom Load Test with Amazon SageMaker Inference Recommender.html

005 Section Summary

06 Security Best Practices for Machine Learning on AWS

001 Section Introduction

002 Securing Your Resources in a VPC

003 Using the Principle of Least Privilege

004 Encrypting Data at Rest and in Transit

005 Protecting Credentials with Secrets Manager

006 Monitoring Model Input and Output

007 Enabling Logging for Model Access

008 Using Version Control on Model Artifacts

009 Section Summary

07 Conclusion

001 Course Summary

002 Conclusion and Whats Next

002 amazon sagemaker blog.zip

002 sagemaker example notebooks.zip

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تولید کننده: A Cloud Guru