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Mern Stack Online Course
Introduction to Mern Stack Course
Learn Mern Stack with Bharatskillz's Online Internship Program.
- 21 hours on-demand video
- 15 articles
- 55 downloadable resources
- Access on mobile and TV
- Full lifetime access
- Certificate of completion
Become an Expert in
Mern Stack
Over 150+ students have already registered for the next batch!
- Still have any doubt?
- Need info on the upcoming batch?
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- Get familiar with complete web development process.
- Understand the basics of HTML and CSS to structure and style your webpage.
- You can effectively manage your time and set realistic goals when you know what to expect in each part of the full stack developer course. This reduces stress and enhances productivity.
- Learn the core concepts of both front end & back end programming languages.
- Understand the basics of NoSQL and mastering skills of data modeling, query, ingestion, sharding, and data replication.
- Learn to build a fully functional, well organized and tested RESTful application.
- Get the in-depth knowledge of NodeJS.
- Learn to develop powerful server-side applications to serve data to any type of client-side application.
- No Prior AI Knowledge Required
- Working Internet Connect.
MERN is a full-stack framework that adheres to the conventional three-tier architectural model, comprising the front-end presentation tier (React.js), the application tier (Express.js and Node.js), and the database tier (MongoDB).
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Mern Stack Course Syllabus
HTML, CSS, JAVASCRIPT, Bootstrap
REACT JS/ NODE JS/ EXPRESS JS
Front end web development with react
Declaring variable in ES6, Arrow Function, Transpiling ES6, Objects & Arrays, Promises & classes
Installation node Js, Page setup, the virtual DOM, React Elements, React DOM, react components, constructing element with DATA, DOM rendering, Props, state and the component Tree, Property validation, Refs React state management, State within component Tree
Introduction to Node Js, Overview of NODE Js, Installing NODE Js on windows, Streaming data across Node and clients, Creating and HTTP Server, Request Objects, Working with Headers, Handling Post Data, Access the File system, Directories & iterating over s files & folders, Reading from file Writing to a file
Introduction to Express Js, installing express and making it easier to build server, Express Basics (Request/response/get/post) Express routing & middlewear, Express template engine
Introduction to Mongo Db, mapping relational database to Mongo db, Installation and configure in windows, Create & drop database, Create & drop collection, Insert & query document, Update and delete document in Mongo Db
Set up git, GitHub, Basics of GitHub, preparing app for deployment, pushing app on GitHub, testing app, Responding to issues
Tools Included
Certificate Included
Pricing plans
Mern Stack Course Fee
Top-quality learning that’s easy on your pocket.
Self Paced
You’ll Get Access to:-
Internship Certificate by Co-Branded Company
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1 Minor + 1 Major project
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LIVE INTERACTIVE SESSIONS
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Recorded Modules
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25+ hours of video content access
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Certificate on successful completion
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Training Certificate from Bharat Skillz
Mentor Led
Everything in Self Paced, Plus:-
Internship Certificate by Co-Branded Company
-
1 Minor + 1 Major project
-
LIVE INTERACTIVE SESSIONS
-
Recorded Modules
-
25+ hours of video content access
-
Certificate on successful completion
-
Training Certificate from Bharat Skillz
FAQ's
At Bharat Skillz, we’re committed to delivering top-notch support—your questions are our priority.
Python basic Python concepts & terms Python fundamentals Python data structure & modules
Pandas & visualization
Introduction to probability theory Distribution central limits theorem & hypothesis testing
Introduction to Artificial intelligence Applications of Artifiticial intelligence Hands on work with Python
Introduction to Neuron deep learning (basics & scope) Evolution of deep learning Applications of Deep learning Machine learning Vs. Deep learning Techniques & types of deep learning Introduction to ANN
Neuron Diagram Neuron Models & NETWORK FUNCTIONS of Neurons activation Functions of Gradient descent & Stochastic Ramp function & sigmoid function & Gaussian function
Perceptron & multilayer network Backpropagation Deep neural network installing libraries Creating ANN python Training the model
Introduction to open Cv (Image processing) Learning basic image manipulations Introduction to CNN CNN Institution Convolution Operation pooling Flattering building a CNN using python Training the model
Introduction to open Cv (Image processing) Learning basic image manipulations Introduction to CNN CNN Institution Convolution Operation pooling Flattering building a CNN using python Training the model
