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AWS Machine Learning Labs

(AWS-ML.AA1.00L) / ISBN: 9781644592847
This course includes
LiveLab
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$139.99
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AWS Machine Learning Labs

The AWS Machine Learning course and lab cover practical hands-on exercises of using AWS services to generate impressive results. The labs are cloud-based, device-enabled, and can easily be integrated with an LMS. The AWS Machine Learning course will help you to understand AWS and its role in Machine Learning. By the end of this course, you will have a basic understanding of how to use a wide range of AWS services in your own projects.
Here's what you will get

LiveLab
  • 28+ LiveLab
  • 28+ Video tutorials
  • 01:35+ Hours
Here's what you will learn
Download Course Outline

Hands on Activities (Live Labs)

AWS Machine Learning-Speciality (ML-S) Certification

  • Using Amazon Translate
  • Creating a Custom Bot
  • Using the Amazon Rekognition Service

Data Engineering for ML on AWS

  • Using Step Functions
  • Using Amazon SageMaker
  • Creating AWS Lambda Function
  • Creating an Amazon DynamoDB Table
  • Using Amazon Athena
  • Using AWS Glue
  • Configuring a Key
  • Creating CloudTrail
  • Creating an Amazon S3 Glacier Vault
  • Enabling Versioning in Amazon S3 Bucket

Exploratory Data Analysis on AWS

  • Performing the K-Means Clustering
  • Performing PCA in SageMaker

Operationalize Machine Learning on AWS

  • Creating an ECS Cluster
  • Creating an Endpoint Configuration
  • Creating a CloudWatch Dashboard and Adding a Metric to It
  • Understanding Production Security

Create a production Machine Learning application

  • Performing Exploratory Data Analysis using AWS SageMaker
  • Creating Machine Learning Model using AWS SageMaker
  • Deploying Machine Learning Model using AWS SageMaker

Case Studies

  • Creating an Endpoint
  • Creating a Model
  • Creating a Lifecycle Configuration
  • Creating a Notebook Instance
  • Creating a Kinesis Firehose Delivery Stream
  • Creating and Deleting AWS Cloud9
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