GCP: Complete Google Data Engineer and Cloud Architect Guide
The Google Cloud for ML with TensorFlow, Big Data with Managed Hadoop
GCP: Complete Google Data Engineer and Cloud Architect Guide udemy course free download
The Google Cloud for ML with TensorFlow, Big Data with Managed Hadoop
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
Requirements:
- Basic understanding of technology - superficial exposure to Hadoop is enough
Description:
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 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, 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)
Who this course is for:
- Yep! Anyone looking to use the Google Cloud Platform in their organizations
- Yep! Any one who is interesting in architecting compute, networking, loading balancing and other solutions using the GCP
- Yep! Any one who wants to deploy serverless analytics and big data solutions on the Google Cloud
- Yep! Anyone looking to build TensorFlow models and deploy them on the cloud
- Relational Database Design
- SQL for Beginners: Learn SQL using MySQL and Database Design
- Spring & Hibernate for Beginners (includes Spring Boot)
- Machine Learning A-Z™: Hands-On Python & R In Data Science
Course Details:
-
28 hours on-demand video
-
25 articles
-
48 downloadable resources
-
Full lifetime access
-
Access on mobile and TV
-
Certificate of completion
GCP: Complete Google Data Engineer and Cloud Architect Guide udemy courses free download
The Google Cloud for ML with TensorFlow, Big Data with Managed Hadoop
Demo Link: https://www.udemy.com/course/gcp-data-engineer-and-cloud-architect/
