Google Cloud Platform: Data Engineering Track

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

What's Inside

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:

  • Storage on the GCP is covered in-depth
  • Stream processing with Dataflow (Apache Beam) and Pub/Sub
  • Unified Stream and Batch processing architectures
  • 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.
  • Hadoop Foundations - A quick look at the open-source cousins (Hadoop, Spark, Pig, Hive and HBase)


Course Curriculum

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Janani Ravi

Loonycorn is comprised of a couple of individuals —Janani Ravi and Vitthal Srinivasan—who have honed their tech expertises at Google and Stanford. The team 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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