Node.Js: Building Scalable And High-Performance Applications

Master Node.js and Build Full Stack Dynamic Web Applications with Express, Mongoose, MongoDB, PostgreSQL, Secure APIs

What you'll learn

Understand the fundamentals of Node.js, including its architecture, event-driven nature, and advantages in modern web development.

Learn how to work with Node.js core modules and file systems through practical examples.

Master the use of Node Package Manager (NPM) and Yarn for managing dependencies and projects.

Build a simple HTTP server in Node.js and implement routing for dynamic and query-based endpoints.

Gain proficiency in handling asynchronous programming using callbacks, promises, and async/await.

Learn how to create and use custom modules to organize and modularize your code effectively.

Explore middleware types and implement Express middleware for various use cases.

Debug and handle errors efficiently in Node.js applications using recommended tools and techniques.

Set up and use Express.js for creating RESTful APIs, handling request bodies, and managing query parameters.

Test and validate APIs effectively using Postman to ensure functionality and reliability.

Understand NoSQL databases and work with MongoDB, including setup, CRUD operations, and advanced features like schema validation, indexing, and transactions.

Design and integrate Mongoose with Express to create robust, data-driven applications.

Work with EJS (Embedded JavaScript Templates) to create dynamic web pages with conditional rendering and reusable components.

Learn the basics of PostgreSQL and integrate it with Node.js for relational database-driven backend development.

Apply advanced database concepts such as relationships, joins, transactions, and full-text search in PostgreSQL.

Implement user authentication and secure applications using JWT, validation libraries, and industry best practices.

Optimize Node.js applications by using migrations, seeders, and query-building libraries like Knex.js.

Integrate backend applications with frontend frameworks like React.js using Fetch and Axios.

Prepare for job interviews by reviewing key Node.js concepts, code snippets, and interview questions.

Deploy and monitor Node.js applications effectively while implementing maintenance strategies.

Requirements

Enthusiasm and determination to make your mark on the world!

Description

A warm welcome to the Node.js: Building Scalable and High-Performance Applications course by Uplatz.Node.js is an open-source, back-end JavaScript runtime environment that runs on the Chrome V8 engine and executes JavaScript code outside a web browser. It is used for building scalable and high-performance network applications.How Node.js WorksEvent-driven, non-blocking I/O model: Node.js uses an event-driven, non-blocking I/O model which makes it lightweight and efficient. This means that when a request is made to the server, it doesn't block other requests from being processed. Instead, it continues to process other requests and once the initial request is complete, it emits an event to notify the server.Single-threaded: Node.js uses a single thread to handle multiple requests. This is different from traditional web servers which use multiple threads to handle requests. Node.js can handle a large number of requests concurrently due to its non-blocking I/O model.Modules: Node.js has a rich ecosystem of modules that can be used to perform various tasks. These modules can be easily installed using the npm (Node Package Manager) tool.Core Features of Node.jsAsynchronous and event-driven: All APIs of Node.js are asynchronous, meaning that the server doesn't wait for an API to return data. It moves to the next API after calling it, and a notification mechanism of Events of Node.js helps the server to get a response from the previous API call.Fast: Node.js library is very fast in code execution because it is built on Google Chrome's V8 JavaScript Engine.Single-threaded but highly scalable: Node.js uses a single-threaded model with event looping. Event mechanism helps the server to respond in a non-blocking way and makes the server highly scalable as opposed to traditional servers which create limited threads to handle requests.No buffering: Node.js applications never buffer any data. These applications simply output the data in chunks.Benefits of using Node.jsScalability: Node.js is highly scalable due to its non-blocking I/O model and event-driven architecture.Performance: Node.js is very fast and efficient due to its use of the V8 JavaScript engine and its non-blocking I/O model.Easy to learn: Node.js is easy to learn for developers who are already familiar with JavaScript.Large community: Node.js has a large and active community which provides support and contributes to the development of the platform.Some of the reasons why you should learn Node.jsHigh demand: Node.js is in high demand and there are many job opportunities available for Node.js developers.Full-stack development: Node.js can be used for both front-end and back-end development, which allows developers to build full-stack web applications using a single language.Microservices: Node.js is well-suited for building microservices, which are small, independent services that can be deployed and scaled independently.Real-time applications: Node.js is ideal for building real-time applications such as chat applications, online games, and collaboration tools.Node.js - Course CurriculumModule 1. Introduction to Node.jsNode.js BasicsOverview of Node.jsInitial concepts and advantages of using Node.jsModule 2. Core ConceptsCore Modules and File SystemsIntroduction to Node.js core modulesWorking with the file system (examples included)Node Package Manager (NPM)NPM commands and examplesOverview of the package.json fileYarnIntroduction to YarnComparison between Yarn and NPMModule 3. Building BlocksSimple HTTP Server with NodeCreate a basic HTTP serverAdd enhancements and featuresRouting BasicsSimple routes, dynamic routes, and query parametersModule 4. Asynchronous ProgrammingHandling Asynchronous CodeUsing Callbacks, Promises, and Async/AwaitModule 5. Modular DevelopmentCreating and Using Custom ModulesStep-by-step examplesModule 6. Middleware and DebuggingMiddleware in Node.jsDifferent middleware types, including Express examplesDebugging and Error HandlingTechniques for debugging and managing errorsModule 7. Development ToolsNodemon TutorialAutomating server restarts during developmentModule 8. Express.jsIntroduction to ExpressSetting up and using Express.jsMiddleware in ExpressExploring various middleware optionsCreating RESTful APIs with ExpressDeveloping RESTful APIs (examples included)Handling Query Parameters and Request BodiesPractical examples using PostmanModule 9. API TestingIntroduction to PostmanFeatures and usage for API testingModule 10. NoSQL Databases (MongoDB)Understanding NoSQL DatabasesBasics of NoSQL and MongoDBOverview of MongoDB FeaturesIntroduction to MongooseOverview and benefitsSetting Up MongoDBLocal setup and MongoDB Atlas configurationInstalling MongooseSetting up a basic project with MongooseCRUD Operations in MongoDBHands-on examplesModule 11. Advanced MongoDB and MongooseMongoDB Virtuals, Getters, and SettersMiddleware in MongooseMongoDB Schema RelationshipsAggregation Framework$match, $group, $sort, $project stagesMongoose Aggregation QueriesMongoose Schema ValidationBuilt-in and custom validation techniquesHandling ErrorsValidation and connection errorsCreating and Using IndexesExamples and optimization tipsOptimizing Mongoose QueriesTransactions in MongoDBUsing transactions effectivelyRole-Based Access Control (RBAC)Implementation with MongooseDesigning Data Models in MongoDBIntegrating Mongoose with ExpressCreating RESTful APIsModule 12. Deployment and MonitoringDeploying MongoDB ApplicationsMonitoring and Maintenance TechniquesModule 13. EJS (Embedded JavaScript Templates)Getting Started with EJSSetting Up an EJS ProjectPassing Data to TemplatesUsing Partials and Static AssetsConditional Rendering and LoopsError Handling in EJSModule 14. Relational Databases (PostgreSQL)Introduction to PostgreSQLBasics and setup using psql and pgAdminBasic SQL CommandsPostgreSQL Data Types, Primary Keys, and ConstraintsAdvanced SQL (SELECT, Joins, Views, Indexes)Transactions and ConcurrencyFunctions, Procedures, and TriggersWorking with JSON and ArraysFull-Text SearchModule 15. PostgreSQL with Node.jsIntegrating PostgreSQL with NodeBackend Development with PostgreSQL and ExpressRelationships and JoinsUsing Knex.js for Query BuildingModule 16. Security and Best PracticesUser Authentication with JWTMiddleware and Validation (using Joi)Security Best PracticesModule 17. Advanced DevelopmentMigrations and SeedersFrontend IntegrationUsing React.js, Fetch, and AxiosModule 18. Final TouchesInterview Questions and AnswersKey concepts and code snippets for interview preparation

Overview

Section 1: Node.js Basics

Lecture 1 Node.js Basics

Section 2: Core Modules and File Systems

Lecture 2 Core Modules and File Systems

Section 3: Node Package Manager (NPM)

Lecture 3 Node Package Manager (NPM)

Section 4: Yarn

Lecture 4 Yarn

Section 5: Simple HTTP Server with Node

Lecture 5 Simple HTTP Server with Node

Section 6: Routing Basics

Lecture 6 Routing Basics

Section 7: Handling Asynchronous Code

Lecture 7 Handling Asynchronous Code

Section 8: Creating and Using Custom Modules

Lecture 8 Creating and Using Custom Modules

Section 9: Middleware in Node

Lecture 9 Middleware in Node

Section 10: Debugging and Error Handling in Node

Lecture 10 Debugging and Error Handling in Node

Section 11: Nodemon

Lecture 11 Nodemon

Section 12: Express with Node

Lecture 12 Express with Node

Section 13: Middleware in Express

Lecture 13 Middleware in Express

Section 14: Creating RESTful APIs with Express

Lecture 14 Creating RESTful APIs with Express

Section 15: Handling Query Parameters and Request Bodies

Lecture 15 Handling Query Parameters and Request Bodies

Section 16: Introduction to Postman for API Testing

Lecture 16 Introduction to Postman for API Testing

Section 17: Understanding NoSQL Databases and MongoDB

Lecture 17 Understanding NoSQL Databases and MongoDB

Section 18: Overview of MongoDB

Lecture 18 Overview of MongoDB

Section 19: Introduction to Mongoose

Lecture 19 Introduction to Mongoose

Section 20: Setting up MongoDB Locally and on MongoDB Atlas

Lecture 20 Setting up MongoDB Locally and on MongoDB Atlas

Section 21: Installing Mongoose and Setting up a Basic Project

Lecture 21 Installing Mongoose and Setting up a Basic Project

Section 22: CRUD Operations in MongoDB

Lecture 22 CRUD Operations in MongoDB

Section 23: MongoDB Virtuals, Getters, and Setters with Mongoose

Lecture 23 MongoDB Virtuals, Getters, and Setters with Mongoose

Section 24: Middleware in Mongoose

Lecture 24 Middleware in Mongoose

Section 25: MongoDB Schema Relationships

Lecture 25 MongoDB Schema Relationships

Section 26: Understanding the Aggregation Framework

Lecture 26 Understanding the Aggregation Framework

Section 27: Mongoose Aggregation Queries

Lecture 27 Mongoose Aggregation Queries

Section 28: Mongoose Schema Validation

Lecture 28 Mongoose Schema Validation

Section 29: Handling Mongoose Validation and Connection Errors

Lecture 29 Handling Mongoose Validation and Connection Errors

Section 30: Creating and Using Indexes in Mongoose

Lecture 30 Creating and Using Indexes in Mongoose

Section 31: Optimizing Mongoose Queries for Better Performance

Lecture 31 Optimizing Mongoose Queries for Better Performance

Section 32: Introduction to Transactions in MongoDB

Lecture 32 Introduction to Transactions in MongoDB

Section 33: Using Transactions with Mongoose

Lecture 33 Using Transactions with Mongoose

Section 34: Securing MongoDB Connections

Lecture 34 Securing MongoDB Connections

Section 35: Role-Based Access Control (RBAC) with Mongoose

Lecture 35 Role-Based Access Control (RBAC) with Mongoose

Section 36: Designing Data Models in MongoDB

Lecture 36 Designing Data Models in MongoDB

Section 37: Integrating Mongoose with Express

Lecture 37 Integrating Mongoose with Express

Section 38: Deploying MongoDB Applications

Lecture 38 Deploying MongoDB Applications

Section 39: Monitoring and Maintenance of MongoDB Applications

Lecture 39 Monitoring and Maintenance of MongoDB Applications

Section 40: Getting Started with EJS

Lecture 40 Getting Started with EJS

Section 41: Setting up an EJS Project with Node

Lecture 41 Setting up an EJS Project with Node

Section 42: Passing Data to EJS Templates

Lecture 42 Passing Data to EJS Templates

Section 43: Using Partials in EJS

Lecture 43 Using Partials in EJS

Section 44: Adding Static Assets in EJS with Node

Lecture 44 Adding Static Assets in EJS with Node

Section 45: Conditional Rendering and Loops with EJS

Lecture 45 Conditional Rendering and Loops with EJS

Section 46: Error Handling in EJS

Lecture 46 Error Handling in EJS

Section 47: Introduction to PostgreSQL

Lecture 47 Introduction to PostgreSQL

Section 48: Setting up PostgreSQL

Lecture 48 Setting up PostgreSQL

Section 49: Basic SQL Commands

Lecture 49 Basic SQL Commands

Section 50: PostgreSQL Data Types

Lecture 50 PostgreSQL Data Types

Section 51: PostgreSQL Primary Keys and Constraints

Lecture 51 PostgreSQL Primary Keys and Constraints

Section 52: PostgreSQL Advanced SELECT Statements

Lecture 52 PostgreSQL Advanced SELECT Statements

Section 53: PostgreSQL Joins and Relationships

Lecture 53 PostgreSQL Joins and Relationships

Section 54: PostgreSQL Views and Materialized Views

Lecture 54 PostgreSQL Views and Materialized Views

Section 55: PostgreSQL Indexes and Performance

Lecture 55 PostgreSQL Indexes and Performance

Section 56: PostgreSQL Transactions and Concurrency

Lecture 56 PostgreSQL Transactions and Concurrency

Section 57: PostgreSQL Functions and Procedures

Lecture 57 PostgreSQL Functions and Procedures

Section 58: PostgreSQL Triggers and Event Handling

Lecture 58 PostgreSQL Triggers and Event Handling

Section 59: PostgreSQL Working with JSON and Arrays

Lecture 59 PostgreSQL Working with JSON and Arrays

Section 60: PostgreSQL Full-Text Search

Lecture 60 PostgreSQL Full-Text Search

Section 61: PostgreSQL Integration with Node

Lecture 61 PostgreSQL Integration with Node

Section 62: Building the Backend with PostgreSQL using Express

Lecture 62 Building the Backend with PostgreSQL using Express

Section 63: Querying and Using Joins

Lecture 63 Querying and Using Joins

Section 64: Working with Relationships

Lecture 64 Working with Relationships

Section 65: Using Knex.js

Lecture 65 Using Knex.js

Section 66: User Authentication with JWT

Lecture 66 User Authentication with JWT

Section 67: Middleware and Validation

Lecture 67 Middleware and Validation

Section 68: Security Best Practices with PostgreSQL and Node

Lecture 68 Security Best Practices with PostgreSQL and Node

Section 69: Migrations and Seeders

Lecture 69 Migrations and Seeders

Section 70: Frontend Integration

Lecture 70 Frontend Integration

Section 71: Node.js Interview Questions and Answers

Lecture 71 Node.js Interview Questions and Answers

Aspiring full-stack developers wanting to master both frontend and backend development.,Professionals transitioning into web development roles and seeking hands-on experience with Node.js.,Backend developers eager to learn Node.js for building modern, scalable web applications.,Frontend developers looking to transition into full-stack roles using Node.js.,Developers interested in creating RESTful APIs and integrating them into web or mobile applications.,Beginners and newbies aspiring for a career in full stack web development.,Tech enthusiasts curious about event-driven and non-blocking I/O programming.,Cloud application developers looking to leverage Node.js for serverless architecture.,Software engineers looking to enhance their portfolio with full-stack web development projects.,Entrepreneurs and freelancers building scalable web applications for clients or startups.,Project managers or product owners who want to better understand backend development for effective team collaboration.,Students preparing for tech interviews or seeking to enhance their resume with Node.js expertise.,Anyone with basic knowledge of JavaScript eager to dive into backend programming.,Engineers aiming to create microservices and scalable backend systems for enterprise applications.,Engineers aiming to create microservices and scalable backend systems for enterprise applications.,Hobbyists or tinkerers wanting to build projects like real-time chat apps, e-commerce sites, or personal blogs using Node.js.