AWS Machine Learning Labs
(AWS-ML.AA1.00L)
/ ISBN: 9781644592847
This course includes
LiveLab
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.
LiveLab
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28+ LiveLab
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28+ Video tutorials
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01:35+ Hours
Hands on Activities (Live Labs)
- Using Amazon Translate
- Creating a Custom Bot
- Using the Amazon Rekognition Service
- Using Step Functions
- Using Amazon SageMaker
- Creating an 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 the Amazon S3 Bucket
- Performing the K-Means Clustering
- Performing PCA in SageMaker
- Creating an ECS Cluster
- Creating an Endpoint Configuration
- Creating a CloudWatch Dashboard and Adding a Metric to It
- Understanding Production Security
- Performing Exploratory Data Analysis using AWS SageMaker
- Creating Machine Learning Model using AWS SageMaker
- Deploying Machine Learning Model using AWS SageMaker
- 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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