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GCP: Complete Google Data Engineer and Cloud Architect Guide
The Google Cloud for ML with TensorFlow, Big Data with Managed Hadoop
This Course Includes
udemy
4.2 (7.4K reviews )
27h 51m 
english
Online - Self Paced
professional certificate
Udemy
About 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
. 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.
What's Included:
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)
What You Will Learn?
- Deploy Managed Hadoop apps on the Google Cloud .
- Build deep learning models on the cloud using TensorFlow .
- Make informed decisions about Containers, VMs and AppEngine .
- Use big data technologies such as BigTable, Dataflow, Apache Beam and Pub/Sub.