Google Cloud Solutions II: Data and Machine Learning

In this advanced-level quest, you will learn how to harness serious GCP computing power to run big data and machine learning jobs. The hands-on labs will give you use cases, and you will be tasked with implementing big data and machine learning practices utilized by Google’s very own Solutions Architecture team. From running Big Query analytics on tens of thousands of basketball games, to training TensorFlow image classifiers, you will quickly see why GCP is the go-to platform for running big data and machine learning jobs.

TensorFlow for Poets

Creating an Object Detection Application Using TensorFlow

Creating Custom Interactive Dashboards with Bokeh and BigQuery

Running Distributed TensorFlow on Compute Engine

Using Distributed TensorFlow with Cloud ML Engine and Cloud Datalab

Using OpenTSDB to Monitor Time-Series Data on Cloud Platform

Scanning User-generated Content Using the Cloud Video Intelligence and Cloud Vision APIs

Introduction to Kubeflow on Google Kubernetes Engine