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, Exploratory Data Analysis, Data Processing, Data Manipulation, Data Transformation, Google Cloud Platform, Interactive Data Visualization, Generative AI, Prompt Engineering, SQL

  • Skills you'll gain: Google Gemini, Exploratory Data Analysis, Prompt Engineering, Generative AI, Data Visualization Software, Google Cloud Platform, Data Cleansing, Data Processing, Data Transformation, Debugging

  • Status: New

    Skills you'll gain: Google Gemini, Generative AI, Responsible AI, Google Cloud Platform, AI Product Strategy, Data Governance, Cloud Infrastructure, Cloud Computing Architecture, Decision Making, MLOps (Machine Learning Operations), Business

  • Skills you'll gain: Generative AI, Google Gemini, Large Language Modeling, Prompt Engineering, Responsible AI, LLM Application, Google Cloud Platform, Big Data, Database Development

  • Skills you'll gain: MLOps (Machine Learning Operations), Workflow Management, Data Governance, Data Management, Google Cloud Platform, Data Processing, Applied Machine Learning, Tensorflow, Data Pipelines, Machine Learning, Feature Engineering, Data Transformation, Artificial Neural Networks

  • Skills you'll gain: Generative AI, Google Gemini, Prompt Engineering, LLM Application, Data Pipelines, Google Cloud Platform, Algorithms

  • Status: New

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

  • Status: Free Trial

    Skills you'll gain: Semantic Web, Generative AI, LLM Application, Prompt Engineering Tools, Artificial Intelligence, Google Cloud Platform, Natural Language Processing, Web Analytics and SEO, Algorithms

  • 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: Free Trial

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

  • Skills you'll gain: Dataflow, Data Pipelines, Real Time Data, Google Cloud Platform, Data Processing, Big Data, Analytics, SQL, Scalability, Performance Tuning

  • Status: New

    Skills you'll gain: Jupyter, MLOps (Machine Learning Operations), Google Cloud Platform, Artificial Intelligence and Machine Learning (AI/ML), Data Analysis

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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