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GCP: Complete Google Data Engineer and Cloud Architect Guide

The Google Cloud Platform is not the most popular cloud offering out there (hello AWS!) but it may be the best cloud offering for high-end machine learning applications.

  • Expired Deal
  • Google Cloud
  • Gcp
  • Cloud Certification
  • Data Engineer
  • Machine Learning
  • Tensorflow
  • Kubernetes

Which GCP: Complete Google Data Engineer and Cloud Architect Guide plan do you need?

Prices in USD, excluding tax.

GCP: Complete Google Data Engineer and Cloud Architect Guide one-time plans on StackSocial
GCP
IncludesLifetime Access; Certification Included; 22 hours content; Enrolled 2810; Web streaming; Mobile streaming; For all levels

What is GCP: Complete Google Data Engineer and Cloud Architect Guide?

Description:

The Google Cloud Platform is not the most popular cloud offering out there (hello AWS!) but it may be the best cloud offering for high-end machine learning applications. That's because TensorFlow, the extremely popular deep learning technology is also from Google. This comprehensive guide to TensorFlow and the Google Cloud Platform will help put you on certification track to become a Google Data Engineer or Cloud Architect.

- Access 166 lectures & 22 hours of content 24/7 - Cover the material you need to pass Google Data Engineer & Cloud Architect certification exams - Explore AppEngine, Kubernetes, & Compute Engine - Discuss Big Data & Managed Hadoop w/ Dataproc, Dataflow, BigTable, BigQuery, & more - Learn what neural networks & deep learning are, how neurons work, & how neural networks are trained - Understand DevOps principles like StackDrive logging, monitoring, & cloud deployment management - Discover security, networking, & Hadoop foundations

Instructor:

Loonycorn is comprised of two individuals—Janani Ravi and Vitthal Srinivasan—who have honed their respective tech expertise at Google and Flipkart. The duo graduated from Stanford University and believes it has distilled the instruction of complicated tech concepts into funny, practical, engaging courses, and is excited to be sharing its content with eager students.

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GCP: Complete Google Data Engineer and Cloud Architect Guide questions

Is this GCP course deal still available to purchase?

No, this deal is archived and is no longer available for purchase. It was offered through StackSocial at $15 for a limited promotional window that has since expired.

What is Google Cloud Platform and what does this course cover?

Google Cloud Platform (GCP) is Google's suite of cloud computing services — compute, storage, networking, big data, and machine learning — used by enterprises to build and scale applications. This course covered GCP end-to-end: AppEngine, Kubernetes, Compute Engine, Cloud Storage, BigData tools (Hadoop, Dataproc, Dataflow, BigTable, BigQuery), neural networks, deep learning with TensorFlow, and DevOps monitoring with Stackdriver. It comprised 166 lectures across approximately 22 hours of video.

Which certifications does this course prepare you for?

The course was designed as preparation for the Google Cloud Certified Professional Data Engineer and the Google Cloud Certified Professional Cloud Architect exams — two of the most respected and in-demand cloud certifications in the industry.

Who were the instructors?

The course was created by Loonycorn, a production studio run by Janani Ravi and Vitthal Srinivasan. Both are Stanford graduates with backgrounds at Google, Flipkart, Credit Suisse, and McKinsey. They are known for producing rigorous, example-driven technical courses across cloud, data engineering, and machine learning.

Who was this course designed for?

It was aimed at software engineers, data professionals, and IT architects who wanted to move into cloud roles or earn GCP certifications. Some prior programming experience was assumed; the course suited both those new to GCP and practitioners looking to formalize their knowledge before sitting the certification exams.

What big data and ML topics were included?

The course covered the full GCP big data stack: Hadoop on Dataproc, streaming pipelines with Dataflow (Apache Beam), NoSQL at scale with BigTable, and analytical warehousing with BigQuery. Machine learning topics included neural network fundamentals, deep learning concepts, and practical TensorFlow usage on Google Cloud.

What alternatives exist now for GCP certification prep?

Several strong paid and free options exist today: Google Cloud Skills Boost (the official learning path, free tier available), A Cloud Guru / Pluralsight (subscription-based video courses with hands-on labs), Linux Foundation training, Coursera's Google Cloud Professional Certificate programs, and Udemy courses by instructors such as Dan Sullivan. For free practice, Google Cloud offers Qwiklabs sandboxed lab environments.

Often compared with

These are other tools in the same space, not deals on GrabLTD.

  • Google Cloud Skills Boost
  • A Cloud Guru
  • Pluralsight
  • Coursera
  • Udemy

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