Description

Access 166 lectures & 22 hours of content 24/7

Cover the material you need to pass Google Data Engineer & Cloud Architect certification exams

Explore AppEngine, Kubernetes, & Compute Engine

Discuss Big Data & Managed Hadoop w/ Dataproc, Dataflow, BigTable, BigQuery, & more

Learn what neural networks & deep learning are, how neurons work, & how neural networks are trained

Understand DevOps principles like StackDrive logging, monitoring, & cloud deployment management

Discover security, networking, & Hadoop foundations

The Google Cloud Platform is not the most popular cloud offering out there (hello AWS!) but it may be the best cloud offering for high-end machine learning applications. That's because TensorFlow, the extremely popular deep learning technology is also from Google. This comprehensive guide to TensorFlow and the Google Cloud Platform will help put you on certification track to become a Google Data Engineer or Cloud Architect.