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    • Serverless Api

    Serverless API Courses Online

    Learn to create serverless APIs for scalable web services. Understand how to use cloud functions to build and manage APIs without managing servers.

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    Explore the Serverless API Course Catalog

    • Status: New
      New
      G

      Google Cloud

      Introduction to Data Engineering on Google Cloud - 日本語版

      Skills you'll gain: Data Sharing, Extract, Transform, Load, Cloud Storage, Google Cloud Platform, Data Migration, Data Pipelines, Data Import/Export, Big Data, Data Infrastructure, Data Warehousing, Apache Airflow, Data Storage, Data Processing, Data Management, Metadata Management, Automation, Serverless Computing

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      G

      Google Cloud

      Introduction to Data Engineering on Google Cloud - Português Brasileiro

      Skills you'll gain: Data Pipelines, Cloud Storage, Apache Airflow, Data Warehousing, Extract, Transform, Load, Data Integration, Data Processing, Data Migration, Google Cloud Platform, Big Data, Data Storage Technologies, Automation, Serverless Computing

      Beginner · Course · 1 - 3 Months

    • G

      Google Cloud

      Introduction to Data Engineering on Google Cloud - 한국어

      Skills you'll gain: Metadata Management, Dataflow, Data Pipelines, Cloud Storage, Data Migration, Google Cloud Platform, Data Processing, Extract, Transform, Load, Cloud Services, Data Storage, Data Integration, Data Transformation, Automation, Serverless Computing

      Beginner · Course · 1 - 3 Months

    • G

      Google Cloud

      Serverless Data Processing with Dataflow: Operations - 日本語版

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

      Advanced · Course · 1 - 3 Months

    • G

      Google Cloud

      Vector Search and Embeddings - Português Brasileiro

      Skills you'll gain: Large Language Modeling, API Gateway, Natural Language Processing, Google Cloud Platform, Unstructured Data, Machine Learning Algorithms

      Intermediate · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Applying Machine Learning to Your Data with GC - Português

      Skills you'll gain: Google Cloud Platform, Applied Machine Learning, Machine Learning, Big Data, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Natural Language Processing, Image Analysis, Application Programming Interface (API), Performance Metric

      Beginner · Course · 1 - 3 Months

    • G

      Google Cloud

      Building Batch Data Pipelines on Google Cloud - 한국어

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

      Intermediate · Course · 1 - 3 Months

    • G

      Google Cloud

      Vector Search and Embeddings - 简体中文

      Skills you'll gain: Large Language Modeling, Text Mining, Google Cloud Platform, Natural Language Processing, Information Architecture, Applied Machine Learning, Algorithms

      Intermediate · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Google Workspace Security - Português Brasileiro

      Skills you'll gain: Single Sign-On (SSO), Lightweight Directory Access Protocols, Security Assertion Markup Language (SAML), Authentications, Google Workspace, Application Security, OAuth, Cloud Security, Security Management, User Accounts, Identity and Access Management, Threat Detection, Multi-Factor Authentication, Application Programming Interface (API)

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      G

      Google Cloud

      在 Google Cloud 整合應用程式與 Gemini 1.0 Pro

      Skills you'll gain:

      Beginner · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Vector Search and Embeddings - 日本語版

      Skills you'll gain: Large Language Modeling, Generative AI, Natural Language Processing, Google Cloud Platform, Artificial Neural Networks, Algorithms

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      G

      Google Cloud

      Integración de aplicaciones con Gemini 1.0 Pro en GC

      Skills you'll gain:

      Beginner · Course · 1 - 4 Weeks

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    In summary, here are 10 of our most popular serverless api courses

    • Introduction to Data Engineering on Google Cloud - 日本語版: Google Cloud
    • Introduction to Data Engineering on Google Cloud - Português Brasileiro: Google Cloud
    • Introduction to Data Engineering on Google Cloud - 한국어: Google Cloud
    • Serverless Data Processing with Dataflow: Operations - 日本語版 : Google Cloud
    • Vector Search and Embeddings - Português Brasileiro: Google Cloud
    • Applying Machine Learning to Your Data with GC - Português: Google Cloud
    • Building Batch Data Pipelines on Google Cloud - 한국어: Google Cloud
    • Vector Search and Embeddings - 简体中文: Google Cloud
    • Google Workspace Security - Português Brasileiro: Google Cloud
    • 在 Google Cloud 整合應用程式與 Gemini 1.0 Pro: Google Cloud

    Frequently Asked Questions about Serverless Api

    API stands for application programming interface—which is a type of software that lets two applications talk to each other—and a serverless API uses third-party servers to provide cloud computing resources on demand. In other words, a client who uses a serverless API does not have to provide or maintain its own servers in order to run custom code, and they don't have to run code all the time—only when needed. These third-party services are referred to as backend as a service (BaaS) services. The benefits of using a serverless API include lower operational costs and engineering lead time as well as increased simplicity for the client. Examples of serverless APIs include AWS Lambda, Google Cloud Functions, and Microsoft Azure.‎

    Positions that typically use knowledge of serverless APIs include software engineer, JavaScript full-stack developer, front-end developer, backend developer, Python developer, AWS architect, and custom cloud engineer. These jobs are often available on a freelance basis or working remotely as well as full-time career-based employment. Anyone who wants to work in careers with Amazon Web Services (AWS) also needs a knowledge of serverless APIs.‎

    Taking online courses on Coursera can give you the opportunity to learn about the languages that are used in creating serverless APIs, including Java, Node.js, and Python. You can also learn about specific serverless APIs like Amazon Lambda. With certain courses on Coursera, you can learn how to build a serverless API, such as a RESTful serverless API on AWS, which can give you experience using CloudFormation, Lambda, and API Gateway. You also have the option of learning more about cloud computing, machine learning, and Amazon Web Services, which can enhance your understanding of serverless APIs. This can include using real-world examples of a serverless website to build your knowledge and skillset.‎

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

    When looking to enhance your workforce's skills in Serverless Api, 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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