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GCP: Complete Google Data Engineer and Cloud Architect Guide

Course Summary

The Google Cloud Platform is not the most popular cloud offering out there (hello AWS!) but it may be the best cloud offering for high-end machine learning applications. That's because TensorFlow, the extremely popular deep learning technology is also from Google. This comprehensive guide to TensorFlow and the Google Cloud Platform will help put you on certification track to become a Google Data Engineer or Cloud Architect. Access 166 lectures & 22 hours of content 24/7 Cover the material you need to pass Google Data Engineer & Cloud Architect certification exams Explore AppEngine, Kubernetes, & Compute Engine Discuss Big Data & Managed Hadoop w/ Dataproc, Dataflow, BigTable, BigQuery, & more Learn what neural networks & deep learning are, how neurons work, & how neural networks are trained Understand DevOps principles like StackDrive logging, monitoring, & cloud deployment management Discover security, networking, & Hadoop foundations


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    Course Syllabus

    • You, This Course and Us
    • Introduction
    • Compute Choices
    • Storage
    • Cloud SQL, Cloud Spanner ~ OLTP ~ RDBMS
    • The Hadoop Ecosystem
    • BigTable ~ HBase = Columnar Store
    • Datastore ~ Document Database
    • BigQuery ~ Hive ~ OLAP
    • Dataflow ~ Apache Beam
    • Dataproc ~ Managed Hadoop
    • Pub/Sub for Streaming
    • Datalab ~ Jupyter
    • TensorFlow and Machine Learning
    • Regression in TensorFlow
    • Vision, Translate, NLP and Speech: Trained ML APIs
    • Networking
    • Ops and Security
    • You, This Course and Us
    • Introduction
    • Compute Choices
    • Storage
    • Cloud SQL, Cloud Spanner ~ OLTP ~ RDBMS
    • The Hadoop Ecosystem
    • BigTable ~ HBase = Columnar Store
    • Datastore ~ Document Database
    • BigQuery ~ Hive ~ OLAP
    • Dataflow ~ Apache Beam
    • Dataproc ~ Managed Hadoop
    • Pub/Sub for Streaming
    • Datalab ~ Jupyter
    • TensorFlow and Machine Learning
    • Regression in TensorFlow
    • Vision, Translate, NLP and Speech: Trained ML APIs
    • Networking
    • Ops and Security


Course Fee:
USD 25

Course Type:

Self-Study

Course Status:

Active

Workload:

1 - 4 hours / week

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