Formation Mean stack : Angular 6, Express Js , Node Js et MongoDB mode projet de 30 heures , Tunisie

Les objectifs

MEAN stack is a full-stack JavaScript solution that helps you write scalable, robust, and maintainable web applications quickly and easily using MongoDB, express, Angular, and Node.js.

By the end of this hands-on intensive training course, the students will be able to:

• Store the data in NoSQL, document-oriented MongoDB database that brings performance and scalability.
• Use Node.js, the server-side platform built on Google V8’s runtime for building fast, scalable network applications.
• Use Express, a simple yet powerful web application development TP server framework built on top of Node.js.
• Use Angular framework that offers declarative, two-way data binding for web applications.
• Take advantage of the ‘full-stack JavaScript’ paradigm i.e. store documents in JSON-like format in MongoDB, author JSON queries in Node.js/Express.js, and forward these JSON documents back to an Angular-based frontend.
• Get acquainted with the latest web application development trends in the IT industry.

Pré-requis

• Knowledge of JavaScript and ML

Programme de formation

Node.js

• Getting started with Node.js
• Node Package Manager
• Modules
• Asynchronous Programming
• Callbacks
• Events
• Streams
• Web Sockets

Angular

• Angular Architecture
• Modules, Controllers and Scope
• Views
• Two-way Binding
• Built-in and Custom Directives
• Event Directives
• Expressions
• Built-in and Custom Filters
• Understanding the Digest Loop
• Forms and Validation
• Angular Service Types
• Factories, Providers, Decorators, DI
• Creating Custom Services
• Consuming Ajax Web Services via $ tp and $resource
• Routing, Redirects, and Promises

Express.js

• MVC Pattern
• Introduction to Express
• Routing
• TP Interaction
• Handling Form Data
• Handling Query Parameters
• Cookies and Sessions
• User Authentication
• Error Handling
• Creating and Consuming RESTful Services
• Using Templates

MongoDB

• Understanding NoSQL MongoDB
• Finding Documents
• Update, Insert, and Upsert
• Indexing
• Data Modeling
• Aggregation