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"

  • Status: New
    Status: Preview

    Skills you'll gain: Unit Testing, Google Gemini, Debugging, Code Review, Google Cloud Platform, Cloud Applications, Software Testing, Software Development Tools, Application Development, Maintainability, Software Documentation

  • Skills you'll gain: Google Gemini, Generative AI, Google Cloud Platform, Network Engineering, Artificial Intelligence, Prompt Engineering, Cloud Infrastructure, Cloud Computing Architecture, Virtual Private Networks (VPN), Network Architecture

  • Status: Preview

    Skills you'll gain: Data Pipelines, Google Cloud Platform, Data Processing, Data Storage, Data Infrastructure, Data Architecture, Data Warehousing, Data Migration, Data Analysis, Data Transformation, Data Management, Automation, Data Security

  • Skills you'll gain: Responsible AI, Data Ethics, Open Source Technology, Google Cloud Platform, Artificial Intelligence and Machine Learning (AI/ML)

  • Skills you'll gain: Responsible AI, Data Ethics, Open Source Technology, Artificial Intelligence and Machine Learning (AI/ML), Google Cloud Platform, Machine Learning, Data Quality

  • Status: New

    Skills you'll gain: Looker (Software), Data Warehousing, Extract, Transform, Load, SQL, Data Pipelines, Data Import/Export, Data Transformation, Data Manipulation, Data Cleansing, Data Analysis, Google Sheets, Analytics, Data Visualization Software, Google Cloud Platform

  • Skills you'll gain: MLOps (Machine Learning Operations), Google Cloud Platform, Feature Engineering, Data Modeling, Data Storage Technologies, Data Management, Data Storage, Data Quality, Data Import/Export

  • Status: Preview

    Skills you'll gain: Google Gemini, Test Tools, Query Languages, Test Case, Google Cloud Platform, Web Development Tools, Generative AI, Data Access, Software Development Life Cycle, Software Development Tools, Cloud Applications, Application Development, Web Applications, Cloud Development, Debugging

  • Status: New

    Skills you'll gain: Google Gemini, Flutter (Software), Generative AI Agents, Generative AI, LLM Application, Google Cloud Platform, Application Development, Mobile Development, Artificial Intelligence

  • Skills you'll gain: Google Gemini, Google Cloud Platform, Generative AI, Integration Testing, LLM Application, Application Development, Application Programming Interface (API), Cloud API

  • Skills you'll gain: Flutter (Software), Google Gemini, Generative AI Agents, Generative AI, LLM Application, Mobile Development, Google Cloud Platform

  • Skills you'll gain: Google Gemini, Query Languages, Application Development, Data Access, Google Cloud Platform, Software Development Life Cycle, Software Development Tools, CI/CD, Software Testing, Generative AI, Web Applications, Debugging

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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