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: Responsible AI, Google Cloud Platform, Data Ethics, Open Source Technology, Artificial Intelligence and Machine Learning (AI/ML)

  • Skills you'll gain: Responsible AI, Information Privacy, Data Ethics, Personally Identifiable Information, Google Cloud Platform, Secure Coding, Cloud Security, Safety and Security, Artificial Intelligence, Generative AI, Machine Learning

  • 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

  • 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: 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

  • Status: Free Trial

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

  • Status: Free Trial

    Skills you'll gain: Semantic Web, Generative AI, LLM Application, Prompt Engineering Tools, Artificial Intelligence, Google Cloud Platform, Natural Language Processing, Web Analytics and SEO, Algorithms

  • Status: New

    Skills you'll gain: Generative AI Agents, Prompt Engineering, Generative AI, AI Product Strategy, Customer experience improvement, LLM Application, Tool Calling, Google Cloud Platform, Organizational Change, Artificial Intelligence, Innovation

  • Skills you'll gain: Google Gemini, Generative AI, Customer Relationship Management, Predictive Modeling, Artificial Intelligence and Machine Learning (AI/ML), Prompt Engineering, SQL, Google Cloud Platform, Jupyter, Business Workflow Analysis, Big Data

  • Skills you'll gain: Google Gemini, Data Pipelines, Exploratory Data Analysis, Google Cloud Platform, Data Transformation, Data Analysis, Generative AI, Prompt Engineering, SQL, Natural Language Processing

  • Skills you'll gain: Large Language Modeling, Semantic Web, Generative AI, Artificial Intelligence, Google Cloud Platform, Applied Machine Learning, Natural Language Processing, Algorithms

Related roles

Gain the knowledge and skills you need to advance.

  • This role has a ₩25,651,515 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 ₩25,651,515 median salary ¹.

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