Learn Google Cloud Platform from Coursera

Coursera offers you 52 courses, to learn Google Cloud Platform now!

Coursera, is an American online learning platform founded in 2012 by Stanford professors Andrew Ng and Daphne Koller that offers massive open online courses (MOOC), specializations, and degrees. Coursera works with universities and other organizations to offer online courses, specializations, and degrees in a variety of subjects, such as engineering, data science, machine learning, mathematics, business, computer science, digital marketing, humanities, medicine, biology, social sciences, and others. - read more on Wikipedia

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Image Understanding with TensorFlow on GCP

This is the third course of the Advanced Machine Learning on GCP specialization. In this course^

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Networking in GCP: Defining and Implementing Networks

This self-paced training course gives participants broad study of networking options on Google Cloud Platform. Through recorded lectures^ demonstrations^ and hands-on labs^ participants explore and deploy GCP networking technologies^ such as Google Virtual Private Cloud (VPC) networks^ subnets and firewalls. …

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Networking in GCP: Hybrid Connectivity and Network Management

This self-paced training course builds on the Networking in GCP: Defining and Implementing Networks course and enhances participants study of networking options on Google Cloud Platform. Through recorded lectures^ demonstrations^ and hands-on labs^ participants explore and deploy GCP networking technologies^ …

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  • student Intermediate
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Applying Machine Learning to your Data with GCP

In this module^ we define what Machine Learning is and how it can benefit your business. You ll see a few demos of ML in action and learn key ML terms like instances^ features^ and labels. In the interactive labs^ …

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Building Batch Data Pipelines on GCP

Data pipelines typically fall under one of the Extra-Load^ Extract-Load-Transform or Extract-Transform-Load paradigms. This course describes which paradigm should be used and when for batch data. Furthermore^ this course covers several technologies on Google Cloud Platform for data transformation including …

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  • student Intermediate
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Building Resilient Streaming Analytics Systems on GCP

*Note: this is a new course with updated content from what you may have seen in the previous version of this Specialization.

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End-to-End Machine Learning with TensorFlow on GCP

In the first course of this specialization^ we will recap what was covered in the Machine Learning with TensorFlow on Google Cloud Platform Specialization (https://www.coursera.org/specializations/machine-learning-tensorflow-gcp).

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Introduction to Trading^ Machine Learning & GCP

In this course^ you’ll learn about the fundamentals of trading^ including the concept of trend^ returns^ stop-loss^ and volatility. You will learn how to identify the profit source and structure of basic quantitative trading strategies. This course will help you …

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  • student Intermediate
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Modernizing Data Lakes and Data Warehouses with GCP

The two key components of any data pipeline are data lakes and warehouses. This course highlights use-cases for each type of storage and dives into the available data lake and warehouse solutions on Google Cloud Platform in technical detail. Also^ …

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Recommendation Systems with TensorFlow on GCP

In this course^ you ll apply your knowledge of classification models and embeddings to build a ML pipeline that functions as a recommendation engine.

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  • student Intermediate
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Smart Analytics^ Machine Learning^ and AI on GCP

Incorporating machine learning into data pipelines increases the ability of businesses to extract insights from their data. This course covers several ways machine learning can be included in data pipelines on Google Cloud Platform depending on the level of customization …

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  • student Intermediate
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Architecting with Google Kubernetes Engine: Production

In this course^ Architecting with Google Kubernetes Engine: Production^ you ll learn about Kubernetes and Google Kubernetes Engine (GKE) security, logging and monitoring, and using GCP managed storage and database services from within GKE.

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