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: Cloud Infrastructure, Network Performance Management, Network Monitoring, Google Cloud Platform, Command-Line Interface, Virtual Machines, Virtual Private Networks (VPN), Performance Testing

  • Status: Preview

    Skills you'll gain: Generative AI, Generative Model Architectures, Applied Machine Learning, Google Cloud Platform, Image Analysis, Unsupervised Learning, Unstructured Data

  • Skills you'll gain: Generative AI, Node.JS, Application Deployment, LLM Application, Prompt Engineering, Google Cloud Platform, Back-End Web Development

  • Skills you'll gain: Google Gemini, Google Cloud Platform, Customer Analysis, Generative AI, Marketing Analytics, Analytics, Advanced Analytics, Customer Insights, Data-Driven Decision-Making, Data Analysis, Predictive Modeling, Forecasting

  • Skills you'll gain: Google Gemini, Google Cloud Platform, Application Deployment, Generative AI, Cloud Security, Security Controls, Threat Detection

  • Status: Free Trial

    Skills you'll gain: Responsible AI, Cloud Security, Google Cloud Platform, Data Ethics, Generative AI, Information Privacy, Application Security, Artificial Intelligence, Data Security, Personally Identifiable Information, Interoperability, Applied Machine Learning, Data Integrity, Software Visualization, Data Visualization Software, Artificial Intelligence and Machine Learning (AI/ML), Tensorflow, Safety and Security, Machine Learning, Data Quality

  • Skills you'll gain: Google Gemini, Generative AI, Cloud Development, Google Cloud Platform, Software Development Tools, Application Development, Integrated Development Environments, Code Review

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

  • Skills you'll gain: Real Time Data, Data Pipelines, Google Cloud Platform, Data Transformation, Big Data, Data Processing, Advanced Analytics, Data Storage Technologies, Performance Analysis, Performance Tuning, Scalability

  • Status: New

    Skills you'll gain: Generative AI, Responsible AI, Google Cloud Platform, Artificial Intelligence, Large Language Modeling, Data-Driven Decision-Making, Machine Learning, Unstructured Data, Data Quality

  • Status: Preview

    Skills you'll gain: Prompt Engineering, Google Gemini, Multimodal Prompts, Generative AI, Generative Model Architectures, Application Lifecycle Management, AI Product Strategy, Prototyping, MLOps (Machine Learning Operations), LLM Application, Google Cloud Platform

  • Status: New

    Skills you'll gain: Responsible AI, Generative AI, Large Language Modeling, Google Cloud Platform, AI Product Strategy, Data Modeling, Artificial Intelligence, Unstructured Data, Machine Learning, Data Quality, Data Security

Related roles

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  • This role has a ₩25,597,353 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 ₩25,597,353 median salary ¹.

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