The Complete Google Data Engineer and Cloud Architect Course

The Complete Google Data Engineer and Cloud Architect Course

The Google Cloud for Machine Learning with TensorFlow and Big Data with Managed Hadoop


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This course is a comprehensive guide to the Google Cloud Platform – it has +20 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:

  • Certification Req’s – Covers pretty much all of the material you ought to need to get past the Google Data Engineer and Cloud Architect certification tests
  • 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 Essemtials – 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 am I going to get from this course?

  • 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


Who is the target audience?

  • Anyone looking to use the Google Cloud Platform in their organizations
  • Anyone looking to clear the Google Data Engineer or Cloud Architect certification tests
  • Anyone looking to build TensorFlow models and deploy them on the cloud

We hope to help guide you on your path to becoming a certified Google Data Engineer!


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    Basic understanding of technology