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: Prompt Engineering, Google Gemini, Multimodal Prompts, Generative AI, Generative Model Architectures, Application Lifecycle Management, AI Product Strategy, Prototyping, MLOps (Machine Learning Operations), LLM Application, Google Cloud Platform

  • Skills you'll gain: Cloud Infrastructure, Network Performance Management, Network Monitoring, Google Cloud Platform, Command-Line Interface, Virtual Machines, Virtual Private Networks (VPN), Performance Testing

  • Skills you'll gain: Google Gemini, Google Cloud Platform, Cloud Security, Cloud Computing, Security Controls, Security Engineering, Vulnerability Assessments, System Configuration

  • Skills you'll gain: MLOps (Machine Learning Operations), Google Cloud Platform, Data Storage, Feature Engineering, DevOps, Data Processing, Data Modeling, Scalability, Data Security

  • Skills you'll gain: Google Gemini, Cloud Development, Google Cloud Platform, Application Development, Software Development Tools, Natural Language Processing

  • Skills you'll gain: Cloud API, Cloud Applications, Google Cloud Platform, Application Design, Application Development, Data Storage, Cloud Storage, Cloud Services, Software Development, Development Environment, Command-Line Interface, Node.JS, Scalability

  • Skills you'll gain: Responsible AI, Data Ethics, Artificial Intelligence, Google Cloud Platform, Machine Learning

  • Skills you'll gain: Responsible AI, Data Ethics, Artificial Intelligence, Google Cloud Platform, Tensorflow, Machine Learning

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

  • Status: Free Trial

    Skills you'll gain: Dataflow, Data Pipelines, Apache Kafka, Serverless Computing, Identity and Access Management, Cloud Security, Data Processing, Real Time Data, Data Security, Debugging, Google Cloud Platform, Data Integrity, CI/CD, Performance Tuning, Pandas (Python Package), Maintainability, Data Transformation, Unit Testing, JSON, Containerization

  • Skills you'll gain: Responsible AI, Information Privacy, Cloud Security, Personally Identifiable Information, Generative AI, Google Cloud Platform, Data Security, Artificial Intelligence, Encryption

  • Skills you'll gain: Cloud Applications, Cloud Development, Google Cloud Platform, Application Development, Cloud API, API Gateway, Application Programming Interface (API), Serverless Computing, Authentications, Security Assertion Markup Language (SAML), Identity and Access Management, Event-Driven Programming, Node.JS, Microservices, Restful API, Authorization (Computing)

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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