AWS Certified Machine Learning: Data Preparation & SageMaker Security

Amazon Web Services    |    Intermediate
  • 12 videos | 37m 26s
  • Includes Assessment
  • Earns a Badge
Rating 4.6 of 7 users Rating 4.6 of 7 users (7)
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

  • Discover the key concepts covered in this course
    Use summary statistics to perform data preparation for an amazon reviews dataset
    Perform visualization for data preparation of an amazon reviews dataset
    Recognize the difference between various sagemaker data formats
    Convert a data frame to a sparse matrix
    Outline how to create s3 buckets for data storage
  • Work with amazon ground truth for data labeling jobs
    Describe the at rest and in-transit encryption approaches used for security in sagemaker
    Work with sagemaker data accessing approaches, including vpcs, iam, logs, and monitoring
    Describe how to monitor an aws system using cloudwatch
    Outline how to record api activity using cloudtrail
    Summarize the key concepts covered in this course

IN THIS COURSE

  • 1m
  • 4m 9s
    After completing this video, you will be able to use summary statistics to prepare data for an Amazon Reviews dataset. FREE ACCESS
  • Locked
    3.  Performing Visualization
    4m 3s
    In this video, find out how to perform visualization for data preparation of an Amazon Reviews dataset. FREE ACCESS
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    4.  Data Formats for Amazon SageMaker
    3m 28s
    Upon completion of this video, you will be able to recognize the difference between various SageMaker data formats. FREE ACCESS
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    5.  Converting a Dataset to Sparse Matrix
    2m 56s
    During this video, you will learn how to convert a data frame to a matrix with sparse data. FREE ACCESS
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    6.  Creating S3 Buckets
    3m 7s
    Find out how to create S3 buckets for data storage. FREE ACCESS
  • Locked
    7.  Labelling Data with Amazon Ground Truth
    2m 54s
    Learn how to work with Amazon Ground Truth for data labeling jobs. FREE ACCESS
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    8.  SageMaker Security: Encryption
    5m 49s
    In 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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    9.  Exploring Amazon SageMaker Security
    3m 4s
    During 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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    10.  Characteristics and Advantages of Amazon CloudWatch
    3m 40s
    In this video, you will learn how to describe how to monitor an AWS system using CloudWatch. FREE ACCESS
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    11.  Characteristics and Advantages of Amazon CloudTrail
    2m 42s
    Discover how to record API activity using CloudTrail. FREE ACCESS
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    12.  Course Summary
    35s
    In this video, we will summarize the key concepts covered in this course. FREE ACCESS

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