Linux Academy's AWS Essentials course is designed for those who want to learn the core services, features, and benefits of AWS, while also gaining valuable hands-on experience.

Lear about GCP Machine learning offerings, from custom options to fully automated ones

Lear about GCP Big Data offerings, both in storage and processing

Learn about GCP offerings regarding storage: FS, SQL and NoSQL

Google Compute Engine lets you create and run virtual machines on Google infrastructure. Compute Engine offers scale, performance, and value that allows you to easily launch large compute clusters on Google's infrastructure. There are no upfront investments and you can run thousands of virtual CPUs on a system that has been designed to be fast, and to offer strong consistency of performance: see this content for more details.

Learn about GCP main topics, such as Storage, Compute and Security

You’ll learn how to use Spark to work with big data and build machine learning models at scale, including how to wrangle and model massive datasets with PySpark. Learn about big data and how Spark fits into the big data ecosystem. Practice processing and cleaning datasets to get comfortable with Spark’s SQL and dataframe APIs. Debug and optimize your Spark code when running on a cluster. Use Spark’s Machine Learning Library to train machine learning models at scale.

Introduction to BigData and Hadoop: HDFS, MR and installation

introduction to REST

introduction to REST