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: Preview

    Skills you'll gain: MLOps (Machine Learning Operations), Generative AI, Continuous Monitoring, Google Cloud Platform, Predictive Modeling, Responsible AI, Verification And Validation, Machine Learning

  • Status: New

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

  • 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: Generative AI, Google Gemini, Prompt Engineering, LLM Application, Data Pipelines, Google Cloud Platform, Algorithms

  • Skills you'll gain: Google Gemini, Debugging, Web Applications, Development Testing, Application Development, Web Development, Generative AI, Software Development Life Cycle, Software Development Tools, Application Lifecycle Management, Google Cloud Platform

  • 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, Generative AI, Workflow Management, Artificial Intelligence and Machine Learning (AI/ML), Big Data, Jupyter, Google Cloud Platform, SQL, Customer Relationship Management

  • 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: Generative AI, Continuous Monitoring, Google Cloud Platform, MLOps (Machine Learning Operations), Predictive Modeling, Data Validation, Machine Learning, Responsible AI, Artificial Intelligence and Machine Learning (AI/ML), Data Quality

  • Skills you'll gain: MLOps (Machine Learning Operations), Data Management, Data Governance, Data Processing, Google Cloud Platform, Workflow Management, Tensorflow, Data Pipelines, Machine Learning, Containerization, Continuous Monitoring

  • 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 Gemini, Generative AI, Large Language Modeling, Prompt Engineering, LLM Application, Responsible AI, Google Cloud Platform, Data Pipelines, Big Data, Natural Language Processing, Machine Learning Algorithms

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  • This role has a ₩25,425,735 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 ₩25,425,735 median salary ¹.

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