Description
Master Golang Build (REST APIs & WebSocket & gRPC) MongoDB course. This course is specifically designed to master backend development with Golang so that applicants can learn the process of building a complete application ready for real environments from scratch. In this course, students are introduced to modern technologies that large software companies use to develop their systems. The main focus of the course is on teaching the development of scalable backend systems using Golang, MongoDB, REST APIs, WebSockets, gRPC, Redis, Docker, JWT authentication, and Swagger documentation. Instead of teaching concepts separately and scatteredly, the course instructor advances the training process based on building a complete backend application similar to social networks. This project includes various parts such as user authentication, posting, commenting, liking, followers section, notifications, instant messaging, caching system and communication between microservices. The course starts with how to set up a Golang coding environment and create a professional project structure. Then, students develop a complete REST API using industry standard principles and connect it to a MongoDB database for data storage and Swagger tool for documentation. Next, more advanced systems such as security token management, implementing a synchronous chat service with WebSockets, gRPC communication protocol for microservices and performance optimization with Redis are taught to prepare the software for entering the real world.
What you will learn
- Development of communication tools and APIs:
- Building standard RESTful APIs using Golang.
- Designing scalable back-end architectures that meet the needs of the labor market.
- Create real-time applications and real-time chat systems using WebSockets.
- Developing high-performance gRPC services and learning Protocol Buffers.
- Create gRPC clients and servers for optimal communication between multiple backend services.
- Manage routing processes, middleware, data validation, and error handling.
- Data management and optimization:
- Working with MongoDB database using the official driver provided for the Go language.
- Implementing basic data operations (CRUD) in the MongoDB environment.
- Complete Redis training from the ground up to implementing data caching and reducing database load.
- Implementing a secure user authentication system using JWT tokens and applying access levels.
- Advanced feature development and DevOps:
- Building user management systems, registering posts, comments, likes, and followers sections.
- Implementing a system of instant notifications when sending messages or user interactions.
- Create professional documentation for the platform with the Swagger API tool.
- Build containers for applications with Docker and manage services with the Docker Compose tool.
- Structuring projects based on best programming patterns and principles of production-ready software development.
- Testing and debugging backend systems developed with Go.
This course is suitable for people who:
- Beginner programmers who want to learn the Golang programming language in principle.
- Backend developers looking to add the powerful Go language to their technical skill set.
- Web developers interested in designing, developing, and optimizing various APIs.
- Software engineers who want to learn advanced concepts like gRPC and WebSockets.
- Students who wish to gain practical and hands-on experience working with the MongoDB database.
- Anyone interested in learning how to build scalable and modern backend systems.
Course details: Master Golang Build (REST APIs & WebSocket & gRPC) MongoDB
- Publisher: Udemy
- Lecturer: Ahmed Khalaf Elsayed
- Training level: Beginner to advanced
- Training duration: 20 hours and 14 minutes
- Number of lessons: 76
Course topics
Prerequisites for the Master Golang Build (REST APIs & WebSocket & gRPC) MongoDB course
- No prior Golang experience required
- Basic understanding of programming concepts is helpful but not mandatory
Course images
Sample course video
Installation Guide
After Extract, view with your favorite player.
Subtitles: English
Quality: 1080p
Download link
Rapidgator link
File(s) password: www.downloadly.ir
File size
10.8 GB
