GCP: Complete Google Data Engineer and Cloud Architect Guide

This course is a really comprehensive guide to the Google Cloud Platform - it has ~25 hours of content and ~60 demos.
  • Self-Paced Learning

    Learning Style
  • Intermediate

    Difficulty
  • 23 Hours

    Course Duration
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This course is a really comprehensive guide to the Google Cloud Platform - it has ~25 hours of content and ~60 demos.

About Course:

This course is a really comprehensive guide to the Google Cloud Platform - it has ~25 hours of content and ~60 demos.

The Google Cloud Platform is not currently the most popular cloud offering out there - that's AWS of course - but it is possibly the best cloud offering for high-end machine learning applications. That's because TensorFlow, the super-popular deep learning technology is also from Google.

The average salary for a Cloud & Data Engineer Professional is $88,000 per year.

Course Objective:

  • Compute and Storage - AppEngine, Container Enginer (aka Kubernetes) and Compute Engine
  • Big Data and Managed Hadoop - Dataproc, Dataflow, BigTable, BigQuery, Pub/Sub 
  • TensorFlow on the Cloud - what neural networks and deep learning really are, how neurons work and how neural networks are trained.
  • DevOps stuff - StackDriver logging, monitoring, cloud deployment manager
  • Security - Identity and Access Management, Identity-Aware proxying, OAuth, API Keys, service accounts
  • Networking - Virtual Private Clouds, shared VPCs, Load balancing at the network, transport and HTTP layer; VPN, Cloud Interconnect and CDN Interconnect
  • Hadoop Foundations: A quick look at the open-source cousins (Hadoop, Spark, Pig, Hive and HBase)

Audience:

  • Yep! Anyone looking to use the Google Cloud Platform in their organizations
  • Yep! Any one who is interesting in architecting compute, networking, loading balancing and other solutions using the GCP
  • Yep! Any one who wants to deploy serverless analytics and big data solutions on the Google Cloud
  • Yep! Anyone looking to build TensorFlow models and deploy them on the cloud

Prerequisite:

  • Basic understanding of technology - superficial exposure to Hadoop is enough

 

More Information
Brand Google
Lab Access No
Technology Google
Learning Style Self-Paced Learning
Difficulty Intermediate
Course Duration 23 Hours
Language English
VPA Eligible VPA Eligible
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