AWS Certified Machine Learning: Data Pipelines & Workflows

Amazon Web Services    |    Intermediate
  • 12 videos | 40m 46s
  • Includes Assessment
  • Earns a Badge
Rating 4.3 of 48 users Rating 4.3 of 48 users (48)
Creating a data pipeline is essential to making any data-related product. AWS Data Pipeline, AWS Batch, and AWS Workflow frameworks allow you to manage data using ETL data management across various AWS tools and services, making AWS a perfect platform for combining data from multiple sources. In this course, you'll learn how to automate data movement and transformation processes on AWS and define data-driven pipelines and workflows. Investigating how data pipelines enable seamless, scalable, and fault-tolerant data transfer between AWS storage and computational tools helps illuminate the full potential of AWS in machine learning. By the end of this course, you'll have a working knowledge of the most common use cases of AWS Data Pipeline, AWS Batch, and AWS Workflow, bringing you closer to being fully prepared for the AWS Certified Machine Learning - Specialty certification exam.

WHAT YOU WILL LEARN

  • Discover the key concepts covered in this course
    Describe how aws data pipelines work and name their main benefits
    Configuring an aws data pipeline application using the aws console
    Compare the functionalities of aws data pipeline and aws glue
    Describe the functionality of aws batch and its main benefits
    Specify real-world use cases of aws batch
  • Describe how aws step functions works and name the principles behind workflow design
    Specify real-world use cases of aws step functions
    Work with aws step functions to manage a batch job
    Describe how real-time and video data engineering pipelines work
    Describe how batch processing and analytics data engineering pipelines work
    Summarize the key concepts covered in this course

IN THIS COURSE

  • 1m 3s
  • 3m 25s
    Find out how to describe how AWS data pipelines work and name their main benefits. FREE ACCESS
  • Locked
    3.  Configuring AWS Data Pipeline
    12m 26s
    Learn how to configure an AWS Data Pipeline application using the AWS console. FREE ACCESS
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    4.  AWS Data Pipeline vs. AWS Glue
    2m 52s
    In this video, you will learn how to compare the functionalities of AWS Data Pipeline and AWS Glue. FREE ACCESS
  • Locked
    5.  What Is AWS Batch?
    2m 11s
    During this video, you will discover the functionality of AWS Batch and its main benefits. FREE ACCESS
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    6.  AWS Batch Use Cases
    2m
    In this video, you will learn how to specify real-world use cases of AWS Batch. FREE ACCESS
  • Locked
    7.  What Is AWS Step Functions?
    2m 6s
    Discover how to describe how AWS Step Functions works and name the principles behind workflow design. FREE ACCESS
  • Locked
    8.  AWS Step Functions Use Cases
    1m 48s
    In this video, you will learn about real-world use cases of AWS Step Functions. FREE ACCESS
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    9.  Working with AWS Batch and Step Functions
    7m 54s
    After completing this video, you will be able to work with AWS Step Functions to manage a batch job. FREE ACCESS
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    10.  Real-time and Video Data Pipelines
    2m 22s
    In this video, find out how to describe how real-time and video data engineering pipelines work. FREE ACCESS
  • Locked
    11.  Batch Processing and Analytics Pipelines
    1m 58s
    Upon completion of this video, you will be able to describe how batch processing and analytics data engineering pipelines work. FREE ACCESS
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    12.  Course Summary
    41s
    In this video, we will summarize the key concepts covered in this course. FREE ACCESS

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