Google Cloud Platform

Google Cloud Platform (GCP) is a suite of cloud computing services that runs on the same infrastructure that Google uses for its end-user products. Coursera's GCP catalogue teaches you how to utilize Google's state-of-the-art cloud technology to create, implement, and scale applications. You'll learn about the various GCP services such as computing and hosting services, machine learning services, networking, big data, storage and databases, IoT, and API platforms. You'll also develop skills in deploying and monitoring cloud solutions, managing and analyzing data, and implementing AI and machine learning models. Harness the power of Google's pioneering cloud technologies and set yourself apart in the thriving IT industry.
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Results for "google cloud platform"

  • Skills you'll gain: Big Data, Analytics, Data Analysis, Applied Machine Learning, MLOps (Machine Learning Operations), Google Cloud Platform, Machine Learning, Predictive Modeling, SQL

  • Skills you'll gain: Google Gemini, Generative AI, Google Cloud Platform, Customer Relationship Management, Predictive Modeling, SQL, Big Data, Workflow Management, Artificial Intelligence, Python Programming

  • Status: New

    Skills you'll gain: Jupyter, MLOps (Machine Learning Operations), Google Cloud Platform, Virtual Machines, Machine Learning, Development Environment, Collaborative Software

  • Skills you'll gain: Google Gemini, Exploratory Data Analysis, Prompt Engineering, Generative AI, Data Visualization Software, Google Cloud Platform, Data Cleansing, Data Processing, Data Transformation, Debugging

  • Skills you'll gain: Google Gemini, Data Processing, Exploratory Data Analysis, Big Data, Data Transformation, Google Cloud Platform, Interactive Data Visualization, Generative AI, Prompt Engineering, Debugging, SQL

  • Skills you'll gain: Semantic Web, Generative AI, Prompt Engineering, Artificial Intelligence, Natural Language Processing, Information Architecture, Google Cloud Platform, Algorithms

  • Skills you'll gain: Google Cloud Platform, MLOps (Machine Learning Operations), Tensorflow, Applied Machine Learning, Performance Tuning, Systems Architecture, Data Validation, Machine Learning, Distributed Computing, Scalability, Hybrid Cloud Computing, Debugging, Data Processing, Data Pipelines

  • Skills you'll gain: Dataflow, Data Pipelines, Data Processing, Debugging, Performance Tuning, Serverless Computing, CI/CD, Unit Testing, Google Cloud Platform, Disaster Recovery, Integration Testing

  • Skills you'll gain: Data Analysis, Big Data, Applied Machine Learning, Statistical Inference, Google Cloud Platform, Machine Learning Methods, SQL

  • Status: New

    Skills you'll gain: Looker (Software), Data Cleansing, Data Transformation, SQL, Big Data, Dashboard, Data Warehousing, Data Analysis, Query Languages, Data Visualization Software, Data Import/Export, Google Sheets, Data Pipelines, Google Cloud Platform

  • Status: New
    Status: Free Trial

    Skills you'll gain: Keras (Neural Network Library), Image Analysis, Computer Vision, Deep Learning, Tensorflow, Google Cloud Platform, Applied Machine Learning, Machine Learning Methods, Data Processing, Visualization (Computer Graphics)

  • Status: New
    Status: Free Trial

    Skills you'll gain: Keras (Neural Network Library), Image Analysis, Deep Learning, Artificial Neural Networks, Computer Vision, Tensorflow, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Data Processing, Python Programming, Google Cloud Platform, Development Environment

Related roles

Gain the knowledge and skills you need to advance.

  • This role has a $155,392 median salary ¹.

    description:

    A Cloud Architect designs and manages cloud solutions for security, scalability, and efficiency, using AWS, Azure, and Google Cloud.

    This role has a $155,392 median salary ¹.

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