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: Generative AI, Continuous Monitoring, Google Cloud Platform, Responsible AI, MLOps (Machine Learning Operations), Predictive Modeling, Data Quality

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

  • 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: Google Gemini, Data Pipelines, Exploratory Data Analysis, Google Cloud Platform, Data Transformation, Data Analysis, Generative AI, Prompt Engineering, SQL, Natural Language Processing

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

  • Status: New

    Skills you'll gain: Prompt Engineering, Generative AI Agents, Generative AI, AI Product Strategy, OpenAI, Customer experience improvement, Google Cloud Platform, LLM Application, Artificial Intelligence, Innovation, Search Engine Optimization, Change Management

  • Skills you'll gain: Google Gemini, Generative AI, Large Language Modeling, Prompt Engineering, LLM Application, Responsible AI, Google Cloud Platform, Data Pipelines, Big Data, Natural Language Processing, Machine Learning Algorithms

  • Skills you'll gain: Large Language Modeling, Generative AI, Semantic Web, Artificial Intelligence and Machine Learning (AI/ML), Natural Language Processing, Google Cloud Platform, Algorithms, Scalability

  • Skills you'll gain: Google Gemini, Google Cloud Platform, Big Data, Business Intelligence, Generative AI, Customer Relationship Management, Predictive Modeling, Artificial Intelligence and Machine Learning (AI/ML), SQL, Data Analysis, Python Programming

  • Skills you'll gain: Google Gemini, Generative AI, Google Cloud Platform, Customer Relationship Management, Predictive Modeling, SQL, Big Data, Workflow Management, Artificial Intelligence, Python Programming

  • Status: New

    Skills you'll gain: Jupyter, MLOps (Machine Learning Operations), Google Cloud Platform, Virtual Machines, Machine Learning, Development Environment, Collaborative Software

  • Status: New

    Skills you'll gain: Looker (Software), Data Cleansing, Data Transformation, SQL, Big Data, Dashboard, Data Warehousing, Data Analysis, Query Languages, Data Visualization Software, Data Import/Export, Google Sheets, Data Pipelines, Google Cloud Platform

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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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