• 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
  

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• 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)