Leveraging Reusable AI Architecture Patterns

Artificial Intelligence    |    Intermediate
  • 14 videos | 49m 45s
  • Includes Assessment
  • Earns a Badge
Rating 4.0 of 11 users Rating 4.0 of 11 users (11)
AI architecture patterns, some of which have been known for many years, have been formally identified as such only in the last couple of years. In this course, you'll identify 12 reusable, standard AI architecture patterns, and 3 AI architecture anti-patterns frequently used to architect common AI applications. You'll learn to differentiate between architecture and design patterns and explore how they're used. Next, you'll examine the structure of an AI architecture pattern, and that of an anti-pattern and its different parts. You'll identify when specific patterns should or can be used, when they need to be avoided, and how to avoid using anti-patterns. You will also learn that even good patterns can become anti-patterns when applied to solve a problem they were not intended for.

WHAT YOU WILL LEARN

  • Discover the key concepts covered in this course
    Recognize and contrast ai architecture and design patterns
    Identify which patterns are used in each ai development phase
    Describe how the federated learning pattern works
    Describe how the data lake pattern works
    Describe how the distinguish business logic from ml models pattern works
    Describe how the gateway routing architecture pattern works
  • Describe how the data-algorithm-serving-evaluator pattern works
    Describe how the closed-loop intelligence pattern works
    Describe how the daisy architecture pattern works
    Describe how kappa and lambda architecture patterns work
    Describe how microservices and event-driven ml microservices patterns work
    Identify the anti-patterns commonly found in ai architecture
    Summarize the key concepts covered in this course

IN THIS COURSE

  • 1m 57s
  • 6m 36s
    After completing this video, you will be able to recognize and contrast AI architectures and design patterns. FREE ACCESS
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    3.  Architecture Patterns in AI Development Life Cycles
    6m 48s
    Find out how to identify which patterns are used in each phase of AI development. FREE ACCESS
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    4.  Federated Learning Pattern
    2m
    After completing this video, you will be able to describe how Federated Learning works. FREE ACCESS
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    5.  Data Lake Pattern
    2m 40s
    After completing this video, you will be able to describe how the Data Lake pattern works. FREE ACCESS
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    6.  Distinguish Business Logic from ML Models Pattern
    3m 18s
    After completing this video, you will be able to describe how the Distinguish Business Logic from ML Models pattern works. FREE ACCESS
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    7.  Gateway Routing Architecture Pattern
    1m 29s
    After completing this video, you will be able to describe how the Gateway Routing Architecture pattern works. FREE ACCESS
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    8.  Data-algorithm-serving-evaluator Pattern
    2m 48s
    After completing this video, you will be able to describe how the Data-algorithm-serving-evaluator pattern works. FREE ACCESS
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    9.  Closed-loop Intelligence Pattern
    4m 16s
    Upon completion of this video, you will be able to describe how the Closed-loop Intelligence pattern works. FREE ACCESS
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    10.  Daisy Architecture Pattern
    2m 28s
    After completing this video, you will be able to describe how the Daisy Architecture pattern works. FREE ACCESS
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    11.  Kappa and Lambda Architecture Patterns
    3m 16s
    Upon completion of this video, you will be able to describe how the Kappa and Lambda architecture patterns work. FREE ACCESS
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    12.  Microservices and Event-driven ML Microservices Patterns
    3m 59s
    Upon completion of this video, you will be able to describe how Microservices and Event-driven ML patterns work. FREE ACCESS
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    13.  AI Architecture Anti-patterns
    6m 18s
    During this video, you will learn how to identify common anti-patterns in AI architecture. FREE ACCESS
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    14.  Course Summary
    1m 52s
    In this video, we will summarize the key concepts covered in this course. FREE ACCESS

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