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    Google Cloud Online Courses

    Explore courses developed by Google Cloud and find the right program for you. Develop in-demand skills with industry expert-led lessons.

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    Explore the Google Cloud Course Catalog

    • G

      Google Cloud

      Building Resilient Streaming Analytics Systems on Google Cloud

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

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.3K reviews

      Intermediate · Course · 1 - 3 Months

    • G

      Google Cloud

      Building Batch Data Pipelines on Google Cloud

      Skills you'll gain: Data Pipelines, Dataflow, Extract, Transform, Load, Google Cloud Platform, Data Integration, Data Migration, Data Processing, Apache Hadoop, Serverless Computing, Apache Spark, Big Data, Data Transformation

      4.5
      Rating, 4.5 out of 5 stars
      ·
      1.7K reviews

      Intermediate · Course · 1 - 3 Months

    • G

      Google Cloud

      Introduction to AI and Machine Learning on Google Cloud

      Skills you'll gain: Prompt Engineering, Google Cloud Platform, Generative AI, Cloud Infrastructure, MLOps (Machine Learning Operations), Artificial Intelligence and Machine Learning (AI/ML), Cloud Platforms, Large Language Modeling, Machine Learning, Natural Language Processing, Application Programming Interface (API)

      4.7
      Rating, 4.7 out of 5 stars
      ·
      238 reviews

      Beginner · Course · 1 - 3 Months

    • G

      Google Cloud

      Machine Learning in the Enterprise

      Skills you'll gain: MLOps (Machine Learning Operations), Google Cloud Platform, Data Management, Data Governance, Workflow Management, Applied Machine Learning, Data Pipelines, Machine Learning, Predictive Modeling, Feature Engineering, Continuous Monitoring

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.5K reviews

      Intermediate · Course · 1 - 3 Months

    • I

      IBM

      Generative AI Fundamentals

      Skills you'll gain: Prompt Engineering, Generative AI, ChatGPT, OpenAI, Data Ethics, Large Language Modeling, Leadership and Management, Business Leadership, Strategic Leadership, Business Ethics, Legal Risk, IBM Cloud, Google Cloud Platform, Artificial Intelligence, Program Development, Artificial Neural Networks, Business Development, Deep Learning, Content Creation, Business Transformation

      4.7
      Rating, 4.7 out of 5 stars
      ·
      6.8K reviews

      Beginner · Specialization · 3 - 6 Months

    • U

      University of Colorado System

      Clinical Data Science

      Skills you'll gain: Tidyverse (R Package), Clinical Data Management, Extract, Transform, Load, Data Modeling, Clinical Research, R Programming, Data Manipulation, Predictive Modeling, Database Design, Google Cloud Platform, Intensive Care Unit, Data Ethics, Data Quality, Risk Modeling, Natural Language Processing, Health Informatics, Statistical Modeling, Bioinformatics, Text Mining, Data Processing

      4.5
      Rating, 4.5 out of 5 stars
      ·
      468 reviews

      Intermediate · Specialization · 3 - 6 Months

    • G

      Google Cloud

      Modernizing Data Lakes and Data Warehouses with GCP en Français

      Skills you'll gain: Data Lakes, Data Warehousing, Google Cloud Platform, Data Infrastructure, Data Storage, Data Architecture, Data Pipelines, Cloud Storage, Data Storage Technologies, Big Data, Data Management, Cloud Solutions, SQL

      4.8
      Rating, 4.8 out of 5 stars
      ·
      11 reviews

      Intermediate · Course · 1 - 3 Months

    • G

      Google Cloud

      Modernizing Data Lakes and Data Warehouses with GCP en Español

      Skills you'll gain: Data Lakes, Data Warehousing, Data Infrastructure, Google Cloud Platform, Cloud Storage, Data Pipelines, Data Architecture, Data Management, Business Process, Data Security, SQL, Scalability

      4.8
      Rating, 4.8 out of 5 stars
      ·
      94 reviews

      Intermediate · Course · 1 - 3 Months

    • G

      Google Cloud

      Responsible AI: Applying AI Principles with Google Cloud

      Skills you'll gain: Data Ethics, Business Ethics, Accountability, Compliance Training, Ethical Standards And Conduct, Google Cloud Platform, Artificial Intelligence and Machine Learning (AI/ML), Governance, Decision Making, Corporate Strategy

      4.6
      Rating, 4.6 out of 5 stars
      ·
      562 reviews

      Beginner · Course · 1 - 3 Months

    • G

      Google Cloud

      Building Batch Data Pipelines on GCP 日本語版

      Skills you'll gain: Data Pipelines, Dataflow, Google Cloud Platform, Extract, Transform, Load, Data Processing, Data Transformation, Big Data, Apache Spark, Apache Hadoop, Cloud Storage

      4.4
      Rating, 4.4 out of 5 stars
      ·
      29 reviews

      Intermediate · Course · 1 - 3 Months

    • G

      Google Cloud

      Building Resilient Streaming Analytics Systems on GCP 日本語版

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

      4.8
      Rating, 4.8 out of 5 stars
      ·
      18 reviews

      Intermediate · Course · 1 - 3 Months

    • G

      Google Cloud

      Building Batch Data Pipelines on GCP em Português Brasileiro

      Skills you'll gain: Data Pipelines, Dataflow, Google Cloud Platform, Extract, Transform, Load, Data Processing, Data Integration, Data Transformation, Big Data, Apache Spark, Cloud Storage

      4.7
      Rating, 4.7 out of 5 stars
      ·
      15 reviews

      Intermediate · Course · 1 - 3 Months

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    In summary, here are 10 of our most popular gcp courses

    • Building Resilient Streaming Analytics Systems on Google Cloud: Google Cloud
    • Building Batch Data Pipelines on Google Cloud: Google Cloud
    • Introduction to AI and Machine Learning on Google Cloud: Google Cloud
    • Machine Learning in the Enterprise: Google Cloud
    • Generative AI Fundamentals: IBM
    • Clinical Data Science: University of Colorado System
    • Modernizing Data Lakes and Data Warehouses with GCP en Français: Google Cloud
    • Modernizing Data Lakes and Data Warehouses with GCP en Español: Google Cloud
    • Responsible AI: Applying AI Principles with Google Cloud: Google Cloud
    • Building Batch Data Pipelines on GCP 日本語版: Google Cloud

    Skills you can learn in Cloud Computing

    Google (31)
    Google Cloud Platform (30)
    Kubernetes (12)
    Application Programming Interfaces (10)
    Microservices (7)
    Internet Of Things (6)
    Cloud Computing Security (5)
    Linux (4)
    Statistical Classification (4)
    Web (4)
    Cybersecurity (3)
    Cryptography (3)

    Frequently Asked Questions about Gcp

    GCP is an acronym for Google Cloud Platform. This is Google's platform of computing services that are run on the public internet cloud. The platform offers companies and organizations a wide variety of hosting services, data storage warehousing, application development tools, and other IT services that run on Google hardware. Using Google Cloud Platform helps IT professionals better manage their projects for networking solutions, data storage capabilities for big data, and machine learning opportunities, along with various developer, security, and cloud management tools.‎

    When you learn about GCP, you will understand and be able to apply the key aspects of application development, data management, and hardware and software integration services as they relate to the Google Cloud Platform. You may also get deeper knowledge into GCP and learn about other parts of the Google Cloud Platform, including Google Cloud Storage, which holds large, unstructured data sets in its cloud storage platform; Google Compute Engine, which gives users access to virtual machine hosting in its infrastructure as a service; and Google App Engine, which provides services in the cloud to software developers for application access to the scalable hosting services offered by Google.‎

    When you learn Google Cloud Platform, the typical opportunities that can arise for you will be in cloud development positions, including customer engineer, cloud infrastructure developer, cloud infrastructure architect, technical account manager, and enterprise systems architect. You can find these roles in companies that contract with the Google Cloud Platform or outside of the tech industry in other areas like healthcare, manufacturing, retail, government, and more. As you grow your knowledge of GCP, you can grow your career opportunities on a regional, national, or global basis, working for Google or another large networking outfit.‎

    Taking online courses about GCP on Coursera can help you learn the basics of Google's cloud computing platform, which includes how to build data processing systems using the platform, analyzing streaming data using Cloud Dataflow, and designing computer architectures for data processing. If you are a developer and take these online courses, you may be able to use different parts of the Google Cloud Platform to create and maintain machine learning and statistical models and extract, load, transform, and validate data in all of the software projects you work on.‎

    Online Google Cloud Platform (GCP) courses offer a convenient and flexible way to enhance your knowledge or learn new Google Cloud Platform (GCP) skills. Choose from a wide range of Google Cloud Platform (GCP) courses offered by top universities and industry leaders tailored to various skill levels.‎

    When looking to enhance your workforce's skills in Google Cloud Platform (GCP), it's crucial to select a course that aligns with their current abilities and learning objectives. Our Skills Dashboard is an invaluable tool for identifying skill gaps and choosing the most appropriate course for effective upskilling. For a comprehensive understanding of how our courses can benefit your employees, explore the enterprise solutions we offer. Discover more about our tailored programs at Coursera for Business here.‎

    This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.

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