Introducing Apache Spark for AI Development

Apache Spark 2.4    |    Intermediate
  • 15 videos | 36m 25s
  • Includes Assessment
  • Earns a Badge
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Apache Spark provides a robust framework for implementing machine learning and deep learning. It takes advantage of resilient distributed databases to provide a fault-tolerant platform well-suited to developing big data applications. Because many large companies are actively using this framework, AI developers should be familiar with the basics of implementing AI with Apache Spark and Spark ML. In this course, you'll explore the concept of distributed computing. You'll identify the benefits of using Spark for AI Development, examining the advantages and disadvantages of using Spark over other big data AI platforms. Next, you'll describe how to implement machine learning, deep learning, natural language processing, and computer vision using Spark. Finally, you'll use Spark ML to create a movie recommendation system commonly used by Netflix and YouTube.

WHAT YOU WILL LEARN

  • discover the key concepts covered in this course
    describe the Spark framework and name the main features it comprises
    define distributed computing and specify the advantages of using it in AI development
    compare disk and memory-based systems and contrast their core advantages and disadvantages
    identify the key benefits of using Spark for AI Development
    recognize the Spark components ecosystem and the benefits of using specific components in AI Development
    compare Spark with other big data platforms and identify the primary advantages and disadvantages of using Spark
    outline the process of creating machine learning models using Spark
  • describe the process of building deep learning models using Spark
    outline the process of creating natural language processing pipelines using Spark
    describe the process of creating computer vision pipelines using Spark
    find key documents and resources for in-depth information about the Spark framework
    install Spark on a Windows or Mac OS
    create a movie recommendation system using the Spark ML framework
    summarize the key concepts covered in this course

IN THIS COURSE

  • 1m 51s
  • 2m 26s
    After completing this video, you will be able to describe the Spark framework and name the main features it includes. FREE ACCESS
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    3.  Distributed Computing: Explained
    1m 56s
    In this video, you will define distributed computing and specify the advantages of using it in AI development. FREE ACCESS
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    4.  Disk and Memory-based systems: Comparison
    2m 5s
    Learn how to compare disk-based and memory-based systems and contrast their core advantages and disadvantages. FREE ACCESS
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    5.  Using Spark in AI Development: Benefits
    1m 56s
    In this video, learn how to identify the key benefits of using Spark for AI Development. FREE ACCESS
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    6.  Spark in AI Development: Components
    5m 40s
    Upon completion of this video, you will be able to recognize the Spark components ecosystem and the benefits of using specific components in AI Development. FREE ACCESS
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    7.  Spark vs. Other Big Data AI Platforms
    2m 36s
    Find out how to compare Spark with other big data platforms and identify the primary advantages and disadvantages of using Spark. FREE ACCESS
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    8.  Machine Learning With Spark
    3m 49s
    In this video, find out how to outline the process of creating machine learning models using Apache Spark. FREE ACCESS
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    9.  Deep Learning With Spark
    2m 24s
    Upon completion of this video, you will be able to describe the process of building deep learning models using Spark. FREE ACCESS
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    10.  Natural Language Processing With Spark
    2m
    In this video, find out how to outline the process of creating natural language processing pipelines using Apache Spark. FREE ACCESS
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    11.  Computer Vision With Spark
    1m 42s
    After completing this video, you will be able to describe the process of creating computer vision pipelines using Spark. FREE ACCESS
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    12.  Spark Documentation, Community, and Tutorials
    47s
    In this video, you will learn how to find key documents and resources for in-depth information about the Spark framework. FREE ACCESS
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    13.  Spark Installation: Windows and Linux
    1m 55s
    During this video, you will learn how to install Spark on Windows or Mac OS. FREE ACCESS
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    14.  Movie Recommendations Using Spark ML
    4m 37s
    In this video, you will learn how to create a movie recommendation system using the Spark ML framework. FREE ACCESS
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    15.  Course Summary
    40s
    In this video, we will summarize the key concepts covered in this course. FREE ACCESS

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