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Главная Информационные Технологии NodeJS – The Complete Guide (MVC, REST APIs, GraphQL, Deno)
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Python for Data Science and Machine Learning Bootcamp
Python for Data Science and Machine Learning Bootcamp ₸38,549.76 Первоначальная цена составляла ₸38,549.76.₸4,814.50Текущая цена: ₸4,814.50.

NodeJS – The Complete Guide (MVC, REST APIs, GraphQL, Deno)

₸6,983.20

Master Node JS & Deno.js, build REST APIs with Node.js, GraphQL APIs, add Authentication, use MongoDB, SQL & much more!

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Категория: Информационные Технологии
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In the Node.js – The Complete Guide (MVC, REST APIs, GraphQL, Deno) course, you will:

  • Get introduced to the basics of Node.js and its advantages in server-side application development.
  • Master the architectural principles of MVC (Model-View-Controller) and learn how to apply them in Node.js applications.
  • Build RESTful APIs using Node.js and Express.js for creating web servers and handling requests.
  • Explore the principles and capabilities of GraphQL and learn how to create flexible APIs using Apollo Server and Node.js.
  • Dive into databases and learn to work with MongoDB and Mongoose for data storage and management.
  • Understand authentication and authorization in Node.js by implementing registration, login, and user management functionalities.
  • Learn practical examples of using WebSocket and building real-time functionality with Socket.io in Node.js applications.
  • Discover the new Deno runtime and compare it with Node.js, exploring its capabilities and application development.
  • Master techniques for testing, debugging, and optimizing Node.js applications for stable and efficient performance.
  • Apply your knowledge through practical hands-on projects, developing full-fledged web applications using Node.js and various technologies.

By the end of this course, you will have a deep understanding of Node.js and its various aspects, allowing you to develop server-side applications, RESTful and GraphQL APIs using Node.js and related technologies. You will also gain skills in testing, debugging, and optimizing Node.js applications to ensure their reliability and efficiency.

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