AWS Certified Machine Learning: Data Preparation & SageMaker Security
Amazon Web Services
| Intermediate
- 12 videos | 37m 26s
- Includes Assessment
- Earns a Badge
Building successful machine learning (ML) applications require the transformation of raw data, such that it meets the requirements of individual ML algorithms. Explore how to prepare data using Amazon SageMaker and S3 and create security services for this data through this course. Start by delving deeper into summary statistics and visualization before moving on to security best practices for Amazon SageMaker. You'll also examine Amazon CloudWatch and Amazon CloudTrail in greater detail. After taking this course, you'll have a solid grasp of various data formats, data security practices, and monitoring and alerting services used in SageMaker. You'll also have the knowledge to prepare data for machine learning and take a step further in your preparation for the AWS Certified Machine Learning - Specialty certification exam.
WHAT YOU WILL LEARN
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Discover the key concepts covered in this courseUse summary statistics to perform data preparation for an amazon reviews datasetPerform visualization for data preparation of an amazon reviews datasetRecognize the difference between various sagemaker data formatsConvert a data frame to a sparse matrixOutline how to create s3 buckets for data storage
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Work with amazon ground truth for data labeling jobsDescribe the at rest and in-transit encryption approaches used for security in sagemakerWork with sagemaker data accessing approaches, including vpcs, iam, logs, and monitoringDescribe how to monitor an aws system using cloudwatchOutline how to record api activity using cloudtrailSummarize the key concepts covered in this course
IN THIS COURSE
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1m
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4m 9sAfter completing this video, you will be able to use summary statistics to prepare data for an Amazon Reviews dataset. FREE ACCESS
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4m 3sIn this video, find out how to perform visualization for data preparation of an Amazon Reviews dataset. FREE ACCESS
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3m 28sUpon completion of this video, you will be able to recognize the difference between various SageMaker data formats. FREE ACCESS
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2m 56sDuring this video, you will learn how to convert a data frame to a matrix with sparse data. FREE ACCESS
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3m 7sFind out how to create S3 buckets for data storage. FREE ACCESS
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2m 54sLearn how to work with Amazon Ground Truth for data labeling jobs. FREE ACCESS
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5m 49sIn this video, you will learn how to describe the encryption approaches used for security in SageMaker when the data is at rest and in transit. FREE ACCESS
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3m 4sDuring this video, you will discover how to work with SageMaker data accessing approaches, including VPCs, IAM, logs, and monitoring. FREE ACCESS
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3m 40sIn this video, you will learn how to describe how to monitor an AWS system using CloudWatch. FREE ACCESS
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2m 42sDiscover how to record API activity using CloudTrail. FREE ACCESS
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35sIn this video, we will summarize the key concepts covered in this course. FREE ACCESS
EARN A DIGITAL BADGE WHEN YOU COMPLETE THIS COURSE
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