This is the code repository for Node.js API Masterclass with Express and MongoDB [Video], published by Packt. It contains all the supporting project files necessary to work through the video course from start to finish.
About the Video Course
This course will help you to create an extensive, in-depth backend API for DevCamper, a Bootcamp directory app. You’ll learn how to deploy a professional API with documentation from the ground up.
The course starts with an overview of the project and an introduction to the HTTP essentials and Postman client. You’ll study HTTP status codes and how to send data to the server. The next section of the course will take you through the DevCamper project and show you how to create routes and responses in Express along with creating controller methods. As you make progress, you’ll learn how to create, fetch, and update and delete Bootcamps. You’ll also get to grips with the concepts of authentication, users, and permissions.
By the end of the course, you’ll be able to build a real-world backend RESTful API for a Bootcamp directory app and have learned about advanced Mongoose queries.
What You Will Learn
- Create a real-world backend RESTful API for a Bootcamp directory app
- Get to grips with HTTP fundamentals, including Req/Res Cycle and status codes
- Understand advanced Mongoose queries
- Explore API security NoSQL injection, XSS protection, and rate-limiting
- Work on API documentation and deployment
Course Requirements
For successful completion of this course, students will need knowledge of the following:
• Javascript fundamentals
• Basic programming principles and control structures
• Modern Javascript (ES6) - Arrows, promises, destructuring and more
Recommended Hardware Requirements:
For an optimal experience with hands-on labs and other practical activities, we recommend the following configuration:
• Windows 10
• OS: Microsoft Windows 10/8 (incl.64-bit)
• Processor: Dual core processor
• Memory: 4 GB RAM minimum, 8 GB RAM recommended
• Storage: 1.5 GB hard disk space + at least 1 GB for caches
• Optional: GPU: NVIDIA® GPU card with CUDA® Compute Capability 3.5 or higher.