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

    Skills you'll gain: Jupyter, Google Cloud Platform, MLOps (Machine Learning Operations), Computing Platforms, Machine Learning, Development Environment, Exploratory Data Analysis

  • Status: New

    Skills you'll gain: Google Gemini, Generative AI, Responsible AI, Google Cloud Platform, AI Product Strategy, Data Governance, Cloud Infrastructure, Cloud Computing Architecture, Decision Making, MLOps (Machine Learning Operations), Business

  • Skills you'll gain: Generative AI, Google Gemini, Large Language Modeling, Prompt Engineering, Responsible AI, LLM Application, Google Cloud Platform, Big Data, Database Development

  • Skills you'll gain: Generative AI, Continuous Monitoring, Google Cloud Platform, Responsible AI, MLOps (Machine Learning Operations), Predictive Modeling, Data Quality

  • Skills you'll gain: MLOps (Machine Learning Operations), Generative AI, Statistical Methods, Google Cloud Platform, Verification And Validation, Performance Testing, Machine Learning, Responsible AI

  • Skills you'll gain: Google Gemini, Software Development Life Cycle, Google Cloud Platform, Development Testing, Application Lifecycle Management, Web Applications, Application Development, Test Case, Program Development, Query Languages, Debugging

  • Skills you'll gain: Dataflow, Data Pipelines, Real Time Data, Google Cloud Platform, Data Processing, Big Data, Analytics, SQL, Scalability, Performance Tuning

  • Skills you'll gain: Google Gemini, Generative AI, Large Language Modeling, Prompt Engineering, Responsible AI, Google Cloud Platform, Natural Language Processing, Machine Learning Algorithms

  • Status: Preview

    Skills you'll gain: Generative AI, Google Gemini, Prompt Engineering, Large Language Modeling, Big Data, Responsible AI, Google Cloud Platform, Database Development, Scalability

  • Status: Preview

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

  • Skills you'll gain: Generative AI, Google Gemini, Prompt Engineering, LLM Application, Google Cloud Platform, Big Data, Query Languages, Natural Language Processing, Scalability

  • Skills you'll gain: Generative AI, AI Personalization, Prompt Engineering, Web Content, Content Management Systems, User Experience, Web Analytics and SEO, Information Architecture, Google Cloud Platform

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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