Coursera Courses for GCP

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Coursera offers several courses and specializations developed by Google to introduce people to the Google Cloud Platform (GCP). This page provides a quick list of interesting specializations and the courses they include.

Architecting with Google Cloud Platform

https://www.coursera.org/specializations/gcp-architecture

  1. Google Cloud Platform Fundamentals: Core Infrastructure
  2. Essential Cloud Infrastructure: Foundation
  3. Essential Cloud Infrastructure: Core Services
  4. Elastic Cloud Infrastructure: Scaling and Automation
  5. Elastic Cloud Infrastructure: Containers and Services
  6. Reliable Cloud Infrastructure: Design and Process

Developing Applications with Google Cloud Platform Specialization

https://www.coursera.org/specializations/developing-apps-gcp

  1. Google Cloud Platform Fundamentals: Core Infrastructure
  2. Getting Started with Application Development
  3. Securing and Integrating Components of your Application
  4. App Deployment, Debugging, and Performance

Data Engineering on Google Cloud Platform

https://www.coursera.org/specializations/gcp-data-machine-learning

  1. Google Cloud Platform Big Data and Machine Learning Fundamentals
  2. Leveraging Unstructured Data with Cloud Dataproc on Google Cloud Platform
  3. Serverless Data Analysis with Google BigQuery and Cloud Dataflow
  4. Serverless Machine Learning with Tensorflow on Google Cloud Platform
  5. Building Resilient Streaming Systems on Google Cloud Platform

From Data to Insights with Google Cloud

https://www.coursera.org/specializations/from-data-to-insights-google-cloud-platform

  1. Exploring and Preparing your Data with BigQuery
  2. Creating New BigQuery Datasets and Visualizing Insights
  3. Achieving Advanced Insights with BigQuery
  4. Applying Machine Learning to your Data with GCP

Machine Learning with TensorFlow on Google Cloud Platform Specialization

https://www.coursera.org/specializations/machine-learning-tensorflow-gcp

  1. How Google does Machine Learning
  2. Launching into Machine Learning
  3. Intro to TensorFlow
  4. Feature Engineering
  5. Art and Science of Machine Learning
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