Summer Internship - 2024
Course Name : Mean And Mern Stack
Course Number : SI-2023 -213
Eligible students to participate : 1st Year MCA and MSc-DS
Prerequisites : Basics of Computer Knowledge
Resource person(s) :

Industry Trainer :

  • Parav Singh EX - Qualcomm & BITS Pilani + Support trainer 

 
Duration of the Course : 4 weeks in Offline mode (Theory: 40 hours Hands on: 30 hours Project/ Assignments: 30 hours
Course Outcome :
  • Develop proficiency in web development using the MEAN and MERN Stack technologies
  • Learn to use MongoDB and Express.js for backend development
  • Master Node.js and React.js for frontend development
  • Build applications using the full stack MEAN and MERN technologies
  • Design and deploy a full-stack application in the cloud
  • Create RESTful APIs for a web application
  • Understand the best practices for developing applications with the MEAN and MERN Stack
  • Utilize advanced features of MongoDB, Express.js, Node.js and React.js
  • Develop an understanding of web security principles
  • Leverage database querying, indexing and aggregation techniques.
 

 
Course Content :
  • Introduction to MEAN/MERN Stack
  • Setting up the development environment
  • Basics of HTML, CSS, JavaScript
  • Introduction to MongoDB
  • Understanding Node.js & Express.js
  • Building RESTful Web APIs with Node.js & Express.js
  • Setting up and connecting to MongoDB
  • Understanding Angular JS & React
  • Building Single Page Applications with Angular JS & React
  • Deploying MEAN/MERN Stack Applications
Details...
Methodology of Course Delivery :
  • Interactive learning sessions in offline mode to engage students.
  • Introduce real-world examples and case studies.
  • Use hands-on activities to help students apply the concepts.
  • Use visual aids and diagrams to explain the concepts.
  • Use video lectures and screencasts to explain the concepts.
  • Use coding challenges and quizzes to evaluate progress.
  • Offer individual and group projects to apply the concepts.
  • Encourage students to participate in competitions.
  • Organize guest lectures and industry-led talks Virtually
Batch Size : 60
Course Schedule : 7/8/2023-5/9/2023
Course Fees : 5000 INR
Residence Fee (optional) : 2750 INR

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