| Sumario: | The Google Cloud for ML with TensorFlow, Big Data with Managed Hadoop About This Video Certification stuff - 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 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) In Detail This course is a really 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.
|
|---|
