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"

  • Skills you'll gain: Identity and Access Management, SQL, Data Integration, Google Cloud Platform, Data Warehousing, Database Design, Data Processing, Database Architecture and Administration, Data Architecture, Data Modeling, Real Time Data

  • Skills you'll gain: Load Balancing, Google Cloud Platform, Network Administration, Cloud Infrastructure, TCP/IP, Infrastructure As A Service (IaaS), Servers, Development Testing

  • Skills you'll gain: Big Data, Google Gemini, Data Processing, Identity and Access Management, Google Cloud Platform, LLM Application, Data Pipelines, Generative AI

  • Status: Free Trial

    Skills you'll gain: Tensorflow, Keras (Neural Network Library), Google Cloud Platform, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Application Deployment, Data Pipelines, Applied Machine Learning, Data Processing, Data Import/Export

  • Status: Free Trial

    Skills you'll gain: Google Cloud Platform, Tensorflow, Unstructured Data, MLOps (Machine Learning Operations), Artificial Intelligence and Machine Learning (AI/ML), Big Data, Data Pipelines, Machine Learning, Jupyter, Predictive Modeling, Natural Language Processing

  • Skills you'll gain: Application Deployment, Kubernetes, Distributed Computing, Load Balancing, Cloud Applications, Google Cloud Platform, Microservices, Network Routing

  • Skills you'll gain: Scalability, Virtual Machines, Kubernetes, Google Cloud Platform, Cloud-Native Computing, Cloud Management, Load Balancing, Capacity Management, Network Architecture

  • Skills you'll gain: Kubernetes, MongoDB, Docker (Software), Containerization, Scalability, Cloud Platforms, NoSQL, Google Cloud Platform

  • Status: Free

    Skills you'll gain: Data Loss Prevention, Google Gemini, Generative AI, Personally Identifiable Information, Cloud API, Jupyter, Google Cloud Platform, Data Security, Scripting Languages

  • Status: Preview

    Skills you'll gain: Generative AI, Generative Model Architectures, Prompt Engineering Tools, Google Cloud Platform

  • Skills you'll gain: Tensorflow, Image Analysis, Keras (Neural Network Library), Applied Machine Learning, Google Cloud Platform, Deep Learning, Computer Vision, Machine Learning

  • Status: Free Trial

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

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