GCP: Complete Google Data Engineer and Cloud Architect Guide Price
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
- Basic understanding of technology – superficial exposure to Hadoop is enough
GCP: Complete Google Data Engineer and Cloud Architect Guide: Description
This course is a really comprehensive guide to the Google Cloud Platform – it has ~20 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 EngineBig 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 managerSecurity – Identity and Access Management, Identity-Aware proxying, OAuth, API Keys, service accountsNetworking – Virtual Private Clouds, shared VPCs, Load balancing at the network, transport and HTTP layer; VPN, Cloud Interconnect and CDN InterconnectHadoop Foundations: A quick look at the open-source cousins (Hadoop, Spark, Pig, Hive and HBase)
Using discussion forums
Please use the discussion forums on this course to engage with other students and to help each other out. Unfortunately, much as we would like to, it is not possible for us at Loonycorn to respond to individual questions from students:-(
We’re super small and self-funded with only 2 people developing technical video content. Our mission is to make high-quality courses available at super low prices.
The only way to keep our prices this low is to *NOT offer additional technical support over email or in-person*. The truth is, direct support is hugely expensive and just does not scale.
We understand that this is not ideal and that a lot of students might benefit from this additional support. Hiring resources for additional support would make our offering much more expensive, thus defeating our original purpose.
It is a hard trade-off.
Thank you for your patience and understanding!
Who is the target audience?
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
The program targets All Levels and has a duration of 22.5 hours divided on 170 sessions and has 5 supplementary learning materials. This course has been initially developed by Loony Corn / Inst. Title, as part of a partnership with Udemy ®.
Description. This course is just one of a series about ‘Unity AWS ’, which introduces you to the complete skills and tools you need to study effectively about GCP: Complete Google Data Engineer and Cloud Architect Guide online.
Become an effective online learner and develop your online communication skills, explore new interests and career opportunities and learn to code or develop your programming skills by having this online development course, from beginner to advanced level.