Techinaut Lms
4.5 (15)

Full Stack Web Developer- MEAN

6months

The main objective of the course is to provide insight into the artificial intelligence, neural networks and applications. This course will enable students to bring together an identifiable core of ideas, techniques, and applications that characterize the emerging field of Artificial Intelligence.

Artificial Intelligence

11 Lessons

Artificial Intelligence

120 Hours - (Theory: 48 hrs + Practical: 72 hrs)

Artificial Intelligence

100+ students enrolled

Overview
Course Description

The module is designed to equip a student to use computers for professional as well as day to day use. It provides theoretical background as well as in-depth knowledge of Software/ packages.

Requirements
  • You will need a copy of Adobe XD 2019 or above. A free trial can be downloaded from Adobe.
  • No previous design experience is needed.
  • No previous Adobe XD skills are needed.
Course Content
21 Lectures 10:56:11
  • Artificial IntelligenceLecture 1.1 Basic JavaScript

    Artificial Intelligence 02:53
  • Artificial IntelligenceLecture 1.2 DOM and BOM

    Artificial Intelligence 02:53
  • Artificial IntelligenceLecture 1.3 Intervals and Objects

    Artificial Intelligence 02:53
  • Artificial IntelligenceLecture 1.4 Prototype ,Hoisting and Closure

    Artificial Intelligence 02:53
  • Artificial IntelligenceLecture 1.5 Let ,Const , Arrow , Class and Inheritance

    Artificial Intelligence 02:53
  • Artificial IntelligenceLecture 1.6 Map, Filter , Reduce , Template Literals

    Artificial Intelligence 02:53
  • Artificial IntelligenceLecture 1.7 ForEach, for-in, for-of loop

    Artificial Intelligence 02:53
  • Artificial IntelligenceLecture 2.1 Why Typescript

    Artificial Intelligence 02:53
  • Artificial IntelligenceLecture 2.2 Basic Types

    Artificial Intelligence 02:53
  • Artificial IntelligenceLecture 2.3 Class and Interfaces

    Artificial Intelligence 02:53
  • Artificial IntelligenceLecture 2.4 Modules

    Artificial Intelligence 02:53
  • Artificial IntelligenceLecture 3.1 Real-time environmental setup

    Artificial Intelligence and Problem solving 02:53
  • Artificial Intelligence and Problem solvingLecture 4.1 What is Angular

    Problem solving 02:53
  • Artificial Intelligence and Problem solvingLecture 4.2 What is SPA

    Problem solving 02:53
  • Artificial Intelligence and Problem solvingLecture 4.3 Comparison between different versions

    Problem solving 02:53
  • Artificial Intelligence and Problem solvingLecture 4.4 Advantages and Disadvantages

    Problem solving 02:53
  • Artificial Intelligence and Problem solvingLecture 4.5 Key features

    Problem solving 02:53
  • Artificial Intelligence and Problem solvingLecture 5.1 Node /NPM

    Artificial Intelligence and Problem solving 02:53
  • Problem solvingLecture 5.2 Angular CLI

    Artificial Intelligence and Problem solving 02:53
  • Problem solvingLecture 5.3 Setup Project

    Artificial Intelligence and Problem solving 02:53
  • Problem solvingLecture 5.4 Directory Structure

    Artificial Intelligence and Problem solving 02:53
  • Problem solvingLecture 5.5 Code Editors

    Artificial Intelligence and Problem solving 02:53
  • Problem solvingLecture 5.6 How Angular Application Boot

    Artificial Intelligence and Problem solving 02:53
  • Problem solvingLecture 6.1 What is Module

    Artificial Intelligence and Problem solving 02:53
  • Problem solvingLecture 6.2 Decorator

    Artificial Intelligence and Problem solving 02:53
  • Problem solvingLecture 6.3 NgModule

    Artificial Intelligence and Problem solving 02:53
  • Problem solvingLecture 6.4 Core Module

    Artificial Intelligence and Problem solving 02:53
  • Problem solvingLecture 6.5 Bootstrapping

    Artificial Intelligence and Problem solving 02:53
  • Problem solvingLecture 6.6 Shared Modules

    Artificial Intelligence and Problem solving 02:53
  • AI ProgrammingLecture 7.1 Introduction to Components

    AI Programming 02:53
  • AI ProgrammingLecture 7.2 Component Architecture Patterns

    AI Programming 02:53
  • AI ProgrammingLecture 7.3 Metadata

    AI Programming 02:53
  • AI ProgrammingLecture 7.4 State and Behaviours

    AI Programming 02:53
  • AI ProgrammingLecture 8.1 Template Expression or Interpolation

    AI Programming 02:53
  • AI ProgrammingLecture 8.2 Data Binding (Event ,Property , Two Way)

    AI Programming 02:53
  • Lecture 8.3 *ngIf , *ngFor , *ngSwicth

    AI Programming 02:53
  • Lecture 8.4 Built-in Structural and Attributes Directive

    AI Programming 02:53
  • AI ProgrammingLecture 9.1 Built-in Pipes

    AI Programming 02:53
  • AI ProgrammingLecture 9.2 Custom Pipes

    AI Programming 02:53
  • AI ProgrammingLecture 10.1 Routes ,RouterModule , routerLink

    AI Programming 02:53
  • AI ProgrammingLecture 10.2 Child Routing

    AI Programming 02:53
  • AI ProgrammingLecture 10.3 Params

    AI Programming 02:53
  • AI ProgrammingLecture 10.4 Guards

    AI Programming 02:53
  • Paradigms in ArtificialLecture 11.1 Structured Directives

    Paradigms in Artificial 02:53
  • AI ProgrammingLecture 11.2 Attribute Directives

    Paradigms in Artificial 02:53
  • Paradigms in ArtificialLecture 12.1 Template Driven

    Paradigms in Artificial 02:53
  • AI ProgrammingLecture 12.2 Reactive Form

    Paradigms in Artificial 02:53
  • AI ProgrammingLecture 12.3 Custom Validators

    Paradigms in Artificial 02:53
  • Paradigms in ArtificialLecture 13.1 Observable vs Promise

    Paradigms in Artificial 02:53
  • AI ProgrammingLecture 13.2 Network Call

    Paradigms in Artificial 02:53
  • AI ProgrammingLecture 13.3 HTTP Request | Response

    Paradigms in Artificial 02:53
  • Paradigms in ArtificialLecture 14.1 Introduction to Services

    Paradigms in Artificial 02:53
  • AI ProgrammingLecture 14.2 Building a Service

    Paradigms in Artificial 02:53
  • AI ProgrammingLecture 14.3 Dependency Injections

    Paradigms in Artificial 02:53
  • AI ProgrammingLecture 14.4 Injectors and Providers

    Paradigms in Artificial 02:53
  • Paradigms in ArtificialLecture 15.1 Component LifeCyclee

    Paradigms in Artificial 02:53
  • AI ProgrammingLecture 15.2 All LifeCycle Hooks

    Paradigms in Artificial 02:53
  • Paradigms in ArtificialLecture 16.1 Local Storage

    Paradigms in Artificial 02:53
  • AI ProgrammingLecture 16.2 Session Storage

    Paradigms in Artificial 02:53
  • AI ProgrammingLecture 16.3 Cookies

    Paradigms in Artificial 02:53
  • Paradigms in ArtificialLecture 17.1 @Input()

    Paradigms in Artificial 02:53
  • AI ProgrammingLecture 17.2 @Output() with EventEmitter

    Paradigms in Artificial 02:53
  • AI ProgrammingLecture 17.3 @Viewchid()

    Paradigms in Artificial 02:53
  • AI ProgrammingLecture 17.4 Shared Service

    Paradigms in Artificial 02:53
  • AI ProgrammingLecture 17.5 Subject

    Paradigms in Artificial 02:53
  • Paradigms in ArtificialLecture 18.1 Introduction to Server-Side Rendering

    Paradigms in Artificial 02:53
  • AI ProgrammingLecture 18.2 Angular Universal

    Paradigms in Artificial 02:53
  • Paradigms in ArtificialLecture 19.1 Introduction to Testing

    Paradigms in Artificial 02:53
  • AI ProgrammingLecture 19.2 Unit Testing with Karma and Jasmine

    Paradigms in Artificial 02:53
  • Paradigms in ArtificialLecture 20.1 Angular Material

    Paradigms in Artificial 02:53
  • AI ProgrammingLecture 20.2 PrimeNG

    Paradigms in Artificial 02:53
  • Paradigms in ArtificialLecture 21.1 Social Login

    Paradigms in Artificial 02:53
  • AI ProgrammingLecture 21.2 Pagination

    Paradigms in Artificial 02:53
  • AI ProgrammingLecture 21.3 Search

    Paradigms in Artificial 02:53
  • AI ProgrammingLecture 21.4 Filter

    Paradigms in Artificial 02:53
  • AI ProgrammingLecture 21.5 JWT Token

    Paradigms in Artificial 02:53
  • AI ProgrammingLecture 21.6 File Upload

    Paradigms in Artificial 02:53
  • AI ProgrammingLecture 21.7 Many More

    Paradigms in Artificial 02:53
  • Paradigms in ArtificialLecture 23.1 What is node.js

    Paradigms in Artificial 02:53
  • AI ProgrammingLecture 23.2 A word on event loop

    Paradigms in Artificial 02:53
  • AI ProgrammingLecture 23.3 Event driven architecture

    Paradigms in Artificial 02:53
  • AI ProgrammingLecture 23.4 Blocking vs non-blocking code

    Paradigms in Artificial 02:53
  • AI ProgrammingLecture 23.5 Node Process Model

    Paradigms in Artificial 02:53
  • AI ProgrammingLecture 23.6 Setup node.js

    Paradigms in Artificial 02:53
  • AI ProgrammingLecture 23.7 Node REPL

    Paradigms in Artificial 02:53
  • AI ProgrammingLecture 23.8 Debugging node.js app

    Paradigms in Artificial 02:53
  • Paradigms in ArtificialLecture 24.1 Understanding exports and require

    Paradigms in Artificial 02:53
  • Paradigms in ArtificialLecture 24.2 Creating modules

    Paradigms in Artificial 02:53
  • Paradigms in ArtificialLecture 24.3 Importing modules

    Paradigms in Artificial 02:53
  • Paradigms in ArtificialLecture 24.4 Quick tour on NPM

    Paradigms in Artificial 02:53
  • Paradigms in ArtificialLecture 24.5 Installing 3rd party modules

    Paradigms in Artificial 02:53
  • Paradigms in ArtificialLecture 25.1 Significance of Events

    Paradigms in Artificial 02:53
  • Paradigms in ArtificialLecture 25.2 Event Emitter class

    Paradigms in Artificial 02:53
  • Paradigms in ArtificialLecture 25.3 Emitting and listening to events

    Paradigms in Artificial 02:53
  • Paradigms in ArtificialLecture 25.4 Types of streams

    Paradigms in Artificial 02:53
  • Paradigms in ArtificialLecture 25.5 Working with streams

    Paradigms in Artificial 02:53
  • Paradigms in ArtificialLecture 25.6 Composing streams using pipe

    Paradigms in Artificial 02:53
  • Paradigms in ArtificialLecture 26.1 Process object

    Paradigms in Artificial 02:53
  • Paradigms in ArtificialLecture 26.2 Handling exceptions at process level

    Paradigms in Artificial 02:53
  • Paradigms in ArtificialLecture 26.3 Listening to process events

    Paradigms in Artificial 02:53
  • Paradigms in ArtificialLecture 26.4 Working with file system using fs module

    Paradigms in Artificial 02:53
  • Paradigms in ArtificialLecture 26.5 Creating, Copying, Deleting files

    Paradigms in Artificial 02:53
  • Paradigms in ArtificialLecture 26.6 Creating, Copying, Deleting directories

    Paradigms in Artificial 02:53
  • Paradigms in ArtificialLecture 26.7 Watching for file changes

    Paradigms in Artificial 02:53
  • Paradigms in ArtificialLecture 27.1 Building a Web Server

    Paradigms in Artificial 02:53
  • Paradigms in ArtificialLecture 27.2 HTTP Request Methods, Headers

    Paradigms in Artificial 02:53
  • Paradigms in ArtificialLecture 27.3 Response Codes and Headers

    Paradigms in Artificial 02:53
  • Paradigms in ArtificialLecture 28.1 Building a Web Server

    Paradigms in Artificial 02:53
  • Paradigms in ArtificialLecture 28.2 HTTP Request Methods, Headers

    Paradigms in Artificial 02:53
  • Paradigms in ArtificialLecture 28.3 Response Codes and Headers

    Paradigms in Artificial 02:53
  • Paradigms in ArtificialLecture 28.4 Serving static files with express

    Paradigms in Artificial 02:53
  • Paradigms in ArtificialLecture 28.5 Express application generator

    Paradigms in Artificial 02:53
  • Paradigms in ArtificialLecture 29.1 Route Methods

    Paradigms in Artificial 02:53
  • Paradigms in ArtificialLecture 29.2 Route Paths

    Paradigms in Artificial 02:53
  • Paradigms in ArtificialLecture 29.3 Parameterized Routes

    Paradigms in Artificial 02:53
  • Paradigms in ArtificialLecture 29.4 Route Handlers

    Paradigms in Artificial 02:53
  • Paradigms in ArtificialLecture 29.5 Express Router

    Paradigms in Artificial 02:53
  • Paradigms in ArtificialLecture 30.1 Types of middleware

    Paradigms in Artificial 02:53
  • Paradigms in ArtificialLecture 30.2 Application

    Paradigms in Artificial 02:53
  • Paradigms in ArtificialLecture 30.3 Router

    Paradigms in Artificial 02:53
  • Paradigms in ArtificialLecture 30.4 Error

    Paradigms in Artificial 02:53
  • Paradigms in ArtificialLecture 30.5 Built-in

    Paradigms in Artificial 02:53
  • Paradigms in ArtificialLecture 30.6 Third-party

    Paradigms in Artificial 02:53
  • Paradigms in ArtificialLecture 30.7 Error middleware

    Paradigms in Artificial 02:53
  • Paradigms in ArtificialLecture 30.8 Body parser, cors , cookie parser, session management

    Paradigms in Artificial 02:53
  • Paradigms in ArtificialLecture 31.1 What are template engines

    Paradigms in Artificial 02:53
  • Paradigms in ArtificialLecture 31.2 EJS

    Paradigms in Artificial 02:53
  • Paradigms in ArtificialLecture 31.3 Jade

    Paradigms in Artificial 02:53
  • Paradigms in ArtificialLecture 31.4 Handlebars

    Paradigms in Artificial 02:53
  • Paradigms in ArtificialLecture 32.1 Authentication

    Paradigms in Artificial 02:53
  • Paradigms in ArtificialLecture 32.2 JWT

    Paradigms in Artificial 02:53
  • Paradigms in ArtificialLecture 32.3 Securing routes

    Paradigms in Artificial 02:53
  • Paradigms in ArtificialLecture 32.4 Debugging in Express

    Paradigms in Artificial 02:53
  • Paradigms in ArtificialLecture 32.5 Realtime programming with Socket.io

    Paradigms in Artificial 02:53
  • Paradigms in ArtificialLecture 33.1 Installing MongoDB

    Paradigms in Artificial 02:53
  • Paradigms in ArtificialLecture 33.2 The current SQL/NoSQL landscape

    Paradigms in Artificial 02:53
  • Paradigms in ArtificialLecture 33.3 Document-oriented vs. other types of storage

    Paradigms in Artificial 02:53
  • Paradigms in ArtificialLecture 33.4 Mongo's featureset

    Paradigms in Artificial 02:53
  • Paradigms in ArtificialLecture 33.5 Common use-cases

    Paradigms in Artificial 02:53
  • Paradigms in ArtificialLecture 33.6 MongoDB databases

    Paradigms in Artificial 02:53
  • Paradigms in ArtificialLecture 33.7 MongoDB Collections

    Paradigms in Artificial 02:53
  • Paradigms in ArtificialLecture 33.8 MongoDB Documents

    Paradigms in Artificial 02:53
  • Paradigms in ArtificialLecture 34.1 Installing MongoDB

    Paradigms in Artificial 02:53
  • Paradigms in ArtificialLecture 34.2 The current SQL/NoSQL landscape

    Paradigms in Artificial 02:53
  • Paradigms in ArtificialLecture 34.3 Document-oriented vs. other types of storage

    Paradigms in Artificial 02:53
  • Paradigms in ArtificialLecture 34.4 Mongo's featureset

    Paradigms in Artificial 02:53
  • Paradigms in ArtificialLecture 34.5 Common use-cases

    Paradigms in Artificial 02:53
  • Paradigms in ArtificialLecture 34.6 MongoDB databases

    Paradigms in Artificial 02:53
  • Paradigms in ArtificialLecture 34.7 MongoDB Collections

    Paradigms in Artificial 02:53
  • Paradigms in ArtificialLecture 34.8 MongoDB Documents

    Paradigms in Artificial 02:53
  • Paradigms in ArtificialLecture 35.1 Creating documents

    Paradigms in Artificial 02:53
  • Paradigms in ArtificialLecture 35.2 insert()

    Paradigms in Artificial 02:53
  • Paradigms in ArtificialLecture 35.3 update()

    Paradigms in Artificial 02:53
  • Paradigms in ArtificialLecture 35.4 save()

    Paradigms in Artificial 02:53
  • Paradigms in ArtificialLecture 35.5 Querying documents

    Paradigms in Artificial 02:53
  • Paradigms in ArtificialLecture 35.6 find()

    Paradigms in Artificial 02:53
  • Paradigms in ArtificialLecture 35.7 Working with equality

    Paradigms in Artificial 02:53
  • Paradigms in ArtificialLecture 35.8 Query operators

    Paradigms in Artificial 02:53
  • Paradigms in ArtificialLecture 35.9 Building complex queries

    Paradigms in Artificial 02:53
  • Paradigms in ArtificialLecture 35.10 Updating documents

    Paradigms in Artificial 02:53
  • Paradigms in ArtificialLecture 35.11 Deleting documents

    Paradigms in Artificial 02:53
  • Paradigms in ArtificialLecture 35.12 Limit

    Paradigms in Artificial 02:53
  • Paradigms in ArtificialLecture 35.13 Order By

    Paradigms in Artificial 02:53
  • Paradigms in ArtificialLecture 36.1 Word on ORM/ODM

    Paradigms in Artificial 02:53
  • Paradigms in ArtificialLecture 36.2 Installing mongoose

    Paradigms in Artificial 02:53
  • Paradigms in ArtificialLecture 36.3 Connecting to MongoDB from mongoose

    Paradigms in Artificial 02:53
  • Paradigms in ArtificialLecture 37.1 Understanding mongoose schemas and datatypes

    Paradigms in Artificial 02:53
  • Paradigms in ArtificialLecture 37.2 Working with Models

    Paradigms in Artificial 02:53
  • Paradigms in ArtificialLecture 37.3 Using modifiers in schema

    Paradigms in Artificial 02:53
  • Paradigms in ArtificialLecture 37.4 Using virtual fields

    Paradigms in Artificial 02:53
  • Paradigms in ArtificialLecture 37.5 Optimizing query performance by enabling indexes

    Paradigms in Artificial 02:53
  • Paradigms in ArtificialLecture 38.1 • Build Application

    Paradigms in Artificial 02:53
  • Paradigms in ArtificialLecture 38.2 Deploy in Heroku

    Paradigms in Artificial 02:53
About Us
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TECHINAUT

A LEVEL

4.5 Instructor Rating
Techinaut

100+ Courses

Techinaut

20+ Faculty

Techinaut

Industry Expert

Techinaut

45000+ students enrolled

UI/UX Designer, with 7+ Years Experience. Guarantee of High Quality Work.

Skills: Web Design, UI Design, UX/UI Design, Mobile Design, User Interface Design, Sketch, Photoshop, GUI, Html, Css, Grid Systems, Typography, Minimal, Template, English, Bootstrap, Responsive Web Design, Pixel Perfect, Graphic Design, Corporate, Creative, Flat, Luxury and much more.

Available for:

  • 1. Full Time Office Work
  • 2. Remote Work
  • 3. Freelance
  • 4. Contract
  • 5. Worldwide
Reviews
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Nicole Brown

UX/UI Designer

4.5 Instructor Rating

“ This is the second Photoshop course I have completed with Cristian. Worth every penny and recommend it highly. To get the most out of this course, its best to to take the Beginner to Advanced course first. The sound and video quality is of a good standard. Thank you Cristian. “

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