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: Google Gemini, Google Cloud Platform, Test Case, Software Development Life Cycle, CI/CD, Web Applications, Application Lifecycle Management, Application Development, Query Languages, Debugging

  • Status: Preview

    Skills you'll gain: Google Gemini, Prompt Engineering, Generative AI, Multimodal Prompts, Google Cloud Platform, Prototyping, Image Analysis, Application Development

  • Skills you'll gain: Looker (Software), Collaborative Software, Enterprise Application Management, Data Management, Identity and Access Management, Data Governance, Google Cloud Platform, Scheduling, Customer Support, Administration, Management Reporting, Data Storytelling, Business Reporting, Auditing

  • Skills you'll gain: Data Lakes, Google Cloud Platform, Data Warehousing, Data Infrastructure, Cloud Storage, Data Architecture, Data Pipelines, Cloud Services, Big Data, Data Processing, SQL, Data Transformation, System Requirements, Scalability

  • Skills you'll gain: Responsible AI, Data Ethics, Google Cloud Platform, Open Source Technology, Artificial Intelligence

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

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

  • Status: New

    Skills you'll gain: Google Gemini, Google Cloud Platform, Generative AI, AI Product Strategy, Cloud Solutions, Business Solutions, Cloud Infrastructure, Decision Making, Innovation

  • Status: New

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

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

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

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

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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