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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  • This role has a $155,392 median salary ¹.

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    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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Results for "google cloud platform"

  • Status: New

    Skills you'll gain: Prompt Engineering, Responsible AI, Generative AI, AI Product Strategy, Google Cloud Platform, LLM Application

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

  • Status: Preview

    Skills you'll gain: Generative AI, Generative Model Architectures, Visualization (Computer Graphics), Google Cloud Platform, Data Ethics, Applied Machine Learning, Responsible AI, Machine Learning Methods

  • Status: Preview

    Skills you'll gain: Data Analysis, Big Data, Applied Machine Learning, Google Cloud Platform, Machine Learning Algorithms, Machine Learning

  • Skills you'll gain: Google Gemini, Google Cloud Platform, Generative AI, Prompt Engineering Tools, Cloud Development, Cloud Services, Application Development, Code Review

  • Status: Free Trial

    Skills you'll gain: Responsible AI, Prompt Engineering, LLM Application, Large Language Modeling, Generative AI, Data Ethics, Google Gemini, Artificial Intelligence, Business Ethics, Compliance Training, AI Product Strategy, Governance, Accountability, Google Cloud Platform, Risk Analysis, Stakeholder Analysis, Machine Learning Methods

  • Status: Preview

    Skills you'll gain: Data Lakes, Data Warehousing, Data Pipelines, Data Infrastructure, Data Architecture, Cloud Engineering, Cloud Storage, Google Cloud Platform, Data Storage, Big Data, Data Storage Technologies, Data Processing, Database Design, SQL

  • Status: New

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

  • Status: Preview

    Skills you'll gain: Data Pipelines, Data Processing, Google Cloud Platform, Data Warehousing, Data Maintenance, Data Storage, Cloud Engineering, Data Infrastructure, Data Analysis, Data Architecture, Automation, Data Security

  • 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

  • Skills you'll gain: Generative AI, Google Cloud Platform, Cloud Infrastructure, MLOps (Machine Learning Operations), Big Data, Tensorflow, Artificial Intelligence, Machine Learning, Natural Language Processing

  • Skills you'll gain: Google Gemini, Kubernetes, DevOps, Generative AI Agents, Development Environment, Google Cloud Platform, Infrastructure as Code (IaC), Cloud Management, LLM Application, Application Performance Management

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