GCP: Complete Google Data Engineer and Cloud Architect Guide (Udemy.com)

The Google Cloud for ML with TensorFlow, Big Data with Managed Hadoop

( 50 Reviews )

Created by: Loony Corn

Produced in 2018

What you will 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

Quality Score

Content Quality

Video Quality

Qualified Instructor

Course Pace

Course Depth & Coverage

Overall Score : 78 / 100

Course 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

Time: 28h

Instructor Details

Loony Corn

3.9 Rating
50 Reviews

Loonycorn is us, Janani Ravi and Vitthal Srinivasan. Between us, we have studied at Stanford, been admitted to IIM Ahmedabad and have spent years working in tech, in the Bay Area, New York, Singapore and Bangalore.
Janani: 7 years at Google (New York, Singapore); Studied at Stanford; also worked at Flipkart and Microsoft
Vitthal: Also Google (Singapore) and studied at Stanford; Flipkart, Credit Suisse and INSEAD too
We think we might have hit upon a neat way of teaching complicated tech courses in a funny, practical, engaging way, which is why we are so excited to be here on Udemy!

We hope you will try our offerings, and think you'll like them :-)

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Reviews

3.9

50 total reviews

5 star 4 star 3 star 2 star 1 star

Write a Review

By Ratul Dutta

Nice course

By Abu Shumon

Out dated, boring. Just reading slides. This course doesn't add any value to the students. Coursera courses are much better, well organised, well guided.

By Swaroop Kanuru

Content is good. Wont respond to Questions on Q&A forum.

By Vineet Sawant

to prepare for the Data engineer test, this is a good starter

By Clemence Douay

Really clear about the challenges and the goals of the class.

By Fred Adet

I know now how to use tensorflow to its best.

By Todd Cretacci

The narrator seems very knowledgeable but I find that I'm concentrating more on deciphering his accent then listening to the material. Perhaps I just need to adjust as the course moves on.

By Markus Winkler