GCP: Complete Google Data Engineer and Cloud Architect Guide
Offered By: Udemy
Course Description
Overview
The Google Cloud for ML with TensorFlow, Big Data with Managed Hadoop
What you'll learn:
What you'll learn:
- 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
This course is a really comprehensive guide to the Google Cloud Platform - it has ~25hours 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.
What's Included:
- 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, APIKeys, service accounts
- Networking - Virtual Private Clouds, shared VPCs, Load balancing at the network, transport and HTTP layer; VPN, Cloud Interconnect and CDNInterconnect
- Hadoop Foundations: A quick look at the open-source cousins (Hadoop, Spark, Pig, Hiveand HBase)
Taught by
Loony Corn
Related Courses
Creative Applications of Deep Learning with TensorFlowKadenze Creative Applications of Deep Learning with TensorFlow III
Kadenze Creative Applications of Deep Learning with TensorFlow II
Kadenze 6.S191: Introduction to Deep Learning
Massachusetts Institute of Technology via Independent Learn TensorFlow and deep learning, without a Ph.D.
Google via Independent