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
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
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.