What is MERN Stack Development:
MERN is a collection of JavaScript-based technologies. In MERN Stack we use MongoDB, Express.js, React JS, and Node.js to develop web applications.
MongoDB is a free and open-source cross-platform document-oriented database program. Classified as a NoSQL database program, MongoDB uses JSON-like documents with schemas.
Express is a minimal and flexible Node.js web application framework that provides a robust set of features for web and mobile applications.
React is an open-source, front end, JavaScript library for building user interfaces or UI components. It is developed and maintained by Facebook.
Node.js is an open-source, cross-platform JavaScript run-time environment that executes JavaScript code server-side.
Training Duration
The total duration of training is 180 Hrs. The full course takes around 6 months time to complete.
Course Fee
₹ 33,000
Course Structure
Basic Programming Recap & Aptitude
This module is designed to help students refresh their fundamental knowledge of C programming and assess their readiness for advanced programming concepts.
Topic 1: JavaScript Basics, ES6 Features, TypeScript Fundamentals
JavaScript Basics: Variable Concept, Loop Concept, Array Concept, Complete Form Validations like Phone, Email, Password etc.
ES-6 Features: Arrow functions, introduction of let,const and their usage and differences, Useful Array functions like map, filter, find with Examples.
TypeScript Fundamentals: What is TypeScript? JavaScript vs TypeScript, Installation of TypeScript using npm, Basic Object Oriented Programming Concepts using TypeScript, Understanding ES-6 DataStructure Map & Set using TypeScript.
Topic 2: Introduction to AI
- • What is Artificial Intelligence and Machine Learning?
- • Types of AI: Supervised vs. Unsupervised Learning.
Topic 3: Front-end Development Using React and AI
Learn React coding and use of AI for enhancement.
React
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book_2 Module 1: Introduction to React, and AI
topicCoding with React
- • Introduction & Installation of React with TypeScript.
- • Introduction to React Concepts.
topicUnderstanding AI and Machine Learning
- • What is Artificial Intelligence and Machine Learning?
- • Types of AI: Supervised vs. Unsupervised Learning.
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book_2 Module 2: Props and States Concept, AI use
- • Initialization, Defining, and Updating of State.
- • Prop Types, Unidirectional Data Flow, Props Validation.
- • State vs Props, Mutability, and Immutability.
- • Generate State & Props with AI Prompt.
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book_2 Module 3: Hooks Concept and Implementation
- Introduction of React Hooks, useState (), useEffect (), useRef (), useMemo (), useCallback (), Context, API concept.
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book_2 Module 4: React Routing with AI Implementations
- • Routing and Navigation (using react router).
- • Create secure routing navigation assisted with AI.
- • Create routing relationship model & AI usage for routing.
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book_2 Module 5: Form Designing & Validations with AI Features
- • Form creation and form validation with AI assistance.
- • Formik Yup module use in form validation.
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book_2 Module 6: REST API in React, Powered with AI
topicAI Chatbots in React
- • Integrating OpenAI API (ChatGPT).
- • Building a Conversational UI.
- • Enhancing UX with AI-driven responses.
topicSpeech & Image Recognition
- • Integrating Web Speech API.
- • Using TensorFlow.js for Image Classification.
- • Implementing AI-powered Search.
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book_2 Module 7: Redux Concept in React, AI Assistance
- • Introduction of React Redux, Redux -State, Store, Actions, Reducer, useSelector(), useDispatch()
- • Redux Toolkit concept in React.
- • Optimizing Redux code with AI Support.
Topic 4: Backend Development Using Node.JS, AI Implementations
Node JS
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book_2 Module 1: Fundamentals of Node.js
- • What is Node.js? Features & Advantages.
- • Basic Structure of Node.js as Server Container.
- • Setting up the Node.js Environment.
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book_2 Module 2: Node.js Commands & First Application
- • Node.js, Hello world, Application, REPL [Read Eval Print Loop] Terminal.
- • Node.js CL Options with Use Case Examples.
- • Introduction to Node Package Manager .
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book_2 Module 3: NODE.JS API Creation, & AI Use
- • Working with NODE JS Web Server.
- • Creating Basic APIs.
- • Optimizing APIs using AI tool.
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book_2 Module 4: Node.js Modules
Node.js Modules with example, HTTP Modules, URL Modules, Node.js File Systems.
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book_2 Module 5: Node.js Events & Events Emitter
Node.js Events with example, Node.js Buffers, Node.js Streams, Node.js callbacks.
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book_2 Module 6: Node.js File Upload, Web server handling Http Request & Response
Global Object, Node.js Web Modules with example, Upload file..
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book_2 Module 7: AI ChatBot Implementations & Image Detection using Tensorflow.js
- • Create basic ai enhanced chatbot api in node.js platform (openAI,HuggingFace etc.).
- • Detecting Image Object using Machine learning tools tensorflow.js.
Topic 5: Express Framework, AI Applications
- • Frameworks for Node.js, installing Express framework.
- • Basic routing concept.
- • REST API, scaling application.
- • Optimizing REST API using Express with the Help of AI .
- • Enhancing security & protecting routes implementing AI security.
Topic 6: MongoDB Connection & Data Management, AI Applications
MongoDB
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book_2 Module 1: Introduction to NoSQL Architecture with MongoDB
- • What is NOSQL? Differences between RDBMS and NOSQL.
- • Environment Setup & Installation of MongoDB.
- • Use case example of use of dbpath flag.
- • MongoDB datatypes .
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book_2 Module 2: MongoDB Basic Database Commands
- MongoDB Basic database operatrions like Create Database,Drop database,Create Collection , Drop Collection, Insert documents,delete documents ,update documents , selecting documents with example .
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book_2 Module 3 : MongoDB Different Types of Query Operators
- MongoDB Operators, Query & Projection operator,Aggregation Pipeline Framework,limit(),sort() with example.
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book_2 Module 4: MongoDB Text Search & Indexes
- MongoDb indexes, MongoDB text search, MongoDB sorting, SQL to MongoDB Mapping .
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book_2 Module 5: MongoDB AI Implementations
- • AI Implementations in Importing & exporting MongoDB Database.
- • Learn import & export tools manually and apply them using AI to database import & export. .
Topic 7: Node.js Connection With MongoDB
Basic configuration & install MongoDB driver, create database & collection, MongoDB queries through Node.JS.
Online Training Demo Video
Connecting MongoDB with Express
(English)
Topic 8: MERN Stack Development Prototype
React connectivity with Node.js API through HTTP request, data management through React & Node.js using MongoDB.
Exclusive Topics
Problem-Solving for Web Development
- • Understanding User & Business Needs.
- • Logical Thinking in Web Development.
- • User Experience (UX) Problem-Solving.
- • Real-World Problem-Solving Exercises.
AI-Assisted Real-Life Project
As part of our MERN Stack course, students will work on a real-life project utilizing MongoDB, Express.js, React, and Node.js. To enhance their learning, they will leverage AI-powered tools. This project will help students gain practical experience, improve problem-solving skills, and adopt industry-standard coding techniques, making them job-ready for MERN stack development roles.
Furthermore, we provide comprehensive training on GitHub for effective code management and facilitate the deployment of projects to a free cloud hosting server through GitHub.
Certification as MERN Stack Developer
On successful completion of the training and the assigned project work, students will get certified as Trainee MERN Stack Developer by SysAlgo Technologies, the software division of Ejobindia.
