DevOps for Data Scientists: Deploying Data DevOps

DevOps    |    Intermediate
  • 8 videos | 33m 28s
  • Includes Assessment
  • Earns a Badge
Likes 4 Likes 4
In this course, learners will explore deploying data models into production through serialization, packaging, deployment, and rollback. You will begin by watching how to serialize models using Python and Pandas. Then the 8-video course takes a look at the tools and approaches to model packaging and deployment. Next, you will explore the concept of the blue-green deployment strategy for data DevOps, which is the strategy for upgrading running software. This leads into examining the concepts behind the Canary deployment strategy in terms of data DevOps. Canary deployments can be regarded as a phase or test rollout on updates and new features. Then take a look at versioning and approaches to rolling back models for machine learning with DevOps. Finally, you will learn about some of the considerations for deploying models to web APIs (application programming interfaces). The concluding exercise involves creating a model by using Python and Pandas, then serializing the results of the model to a file.

WHAT YOU WILL LEARN

  • serialize models using Python and pickle
    describe tools and approaches to model packaging and deployment
    describe the blue-green deployment strategy for Data DevOps
    describe the canary deployment strategy for Data DevOps
  • describe approaches to rolling back model versions
    explore approaches to deploying models to web APIs
    use python and pandas to serialize a model

IN THIS COURSE

  • 1m 16s
  • 5m 7s
    In this video, you will learn how to serialize models using Python and pickle. FREE ACCESS
  • Locked
    3.  Model Packaging and Deployment
    4m 10s
    Upon completion of this video, you will be able to describe tools and approaches for packaging and deploying models. FREE ACCESS
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    4.  Blue-Green Deployment Strategy
    2m 44s
    Upon completion of this video, you will be able to describe the blue-green deployment strategy for Data DevOps. FREE ACCESS
  • Locked
    5.  Canary Deployment Strategy
    5m 48s
    After completing this video, you will be able to describe the canary deployment strategy for Data DevOps. FREE ACCESS
  • Locked
    6.  Rolling Back Versions
    4m 24s
    Upon completion of this video, you will be able to describe approaches for rolling back model versions. FREE ACCESS
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    7.  Web API Deployment Strategy
    3m 14s
    In this video, you will explore approaches to deploying models as web APIs. FREE ACCESS
  • Locked
    8.  Exercise: Serialize a Model
    6m 44s
    Find out how to use python and pandas to save a model. FREE ACCESS

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