GCP Network Data Processing Models
Google Cloud 2018
| Intermediate
- 10 Videos | 35m 47s
- Includes Assessment
- Earns a Badge
You can create and manage an assortment of data processes and network models using GCP. Explore the various types, including using a GPU and TensorFlow to create and manage GPU and instances.
WHAT YOU WILL LEARN
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define the types of virtual networks and the benefits of each
specify the process for creating a network
recall the process for using TensorFlow with GPU
describe the various machine learning APIs and their uses
describe Dataflow and how it can be used to create data processing streams -
recognize differences between Pub and Sub message middleware and when to use them
define the various pipelines for Dataflow processing
demonstrate the process of creating Dataflow pipelines in GCP
specify the differences between real-time and batch data processing
recognize more concepts in analysis of data processing in GCP
IN THIS COURSE
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1.Introduction to GCP Networks3m 5sUP NEXT
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2.Using GCP Models to Create a Network4m 36s
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3.Using TensorFlow for Machine Learning2m 46s
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4.Using Common Machine Learning APIs3m 35s
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5.Processing Data with GCP3m 12s
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6.Messaging Middleware Pub and Sub3m 43s
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7.Working with GCP Pipelines2m 58s
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8.Creating Dataflow Pipelines3m 13s
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9.Using Real-time and Batch Data Processing3m 9s
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10.Exercise: Analyzing Data Processing5m 29s
EARN A DIGITAL BADGE WHEN YOU COMPLETE THIS COURSE
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