The Student Development Program aims to impart IR 4.0 skills to different cohorts of beneficiaries by offering a structured and comprehensive training experience. The prorgam focuses on 2 models:

STEM - For Technical Students

Course Offered

Java Full Stack & AI Engineering

Mode of Training: Blended training (Offline and Online)
Duration: 150 Hours
Target Group

Pre-final and final-year students pursuing Engineering and Science streams

Eligible Domains

Engineering: Computer Science (CSE), Information Technology (IT), Electronics, and other Circuit Branches
Science: B.Sc. (Computer Science/IT) and BCA

Mode

Blended training (Online & Offline) conducted across the academic year, focusing on technical and employability skills.

Training Locations

Delhi NCR, Karnataka, Kerala, Tamil Nadu, Telangana, Maharashtra

Eligibility Criteria

A student in an engineering or science college pursuing CSE, IT & other related branches or B.Sc. (CS/IT), BCA from pre-final and final year.

A student with basic Computer & English skills with access to a laptop and stable internet connection.

Willing to devote 150 hours to undergo this certificate-linked training program.

Intends to pursue a career in the IT sector.

Curriculum Outline

Track Name: Java Full Stack & AI Engineering
Total Duration: 150 Hours
Module Name Sub Module Name Estimated Hours
Foundational Prerequisites (Self-Paced) Digital & Technology Foundations; Introduction to AI Fundamentals; Computational Thinking & Programming Basics 10
Frontend Development Introduction to Web & HTML5; Responsive Web Design using CSS3; JS Fundamentals & DOM Manipulation; ES6+ Features; Working with APIs; Introduction to modern frameworks 20
Java Programming & Logic Excellence Java Fundamentals; Control Flow Statements & Functions; OOPs Concepts; Exception Handling; Collection Frameworks 20
Enterprise Backend & Full-Stack Integration Backend Fundamentals & Architecture; Database Fundamentals; Java Database Connectivity; Spring Framework Core; Spring Boot; Hibernate ORM 20
AI & Machine Learning Foundations Introduction to AI; Machine Learning Basics; ML Algorithms 20
Gen AI & Quality Assurance (QA) Introduction to Generative AI; Natural Language Processing (NLP) Basics; Prompt Engineering; Quality Assurance & Automation Testing 10
Comprehensive AI + Core Java + Web Development (Total Tech Session) 100
Capstone Project 30
Employability Skills 20
Total Full Course Duration 150

Non - STEM - For Non Technical Students

Course Offered

Business Intelligence & AI Automation

Mode of Training: Blended training (Offline and Online)
Duration: 110 Hours
Target Group

Pre-final and final-year female students pursuing domains like BBM / B.Com. / BBA and related disciplines.

Eligible Domains

BBM, B.Com., BBA, and related disciplines

Mode

Blended training (Online & Offline) conducted across the academic year, focusing on technical and employability skills.

Training Locations

Delhi NCR, Karnataka, Telangana, Maharashtra, Tamil Nadu and Kerala

Eligibility Criteria

Pre-final and final-year female students pursuing domains like BBM / B.Com. / BBA and related disciplines.

A student with basic Computer & English skills with access to a laptop and stable internet connection.

Willing to devote 110 hours to undergo this certificate-linked training program.

Intends to pursue a career in the Data Analytics sector.

Curriculum Outline

Track Name: Business Intelligence & AI Automation
Total Duration: 110 Hours
Module Name Sub Module Name Estimated Hours
Computer Fundamentals & Digital Productivity Basics of Computers 15
Internet & Digital Communication
Word Processing
Working with Data Sheets
Power Point Presentations
Business Intelligence Foundations Introduction to Business Intelligence & Architecture 15
Data Warehousing & Data Modeling
ETL Process
Data Cleaning & Preparation
Data Visualization Basics
Dashboard Development using BI Tools
Data Science Introduction to Data Science 20
Python for Data Science
Data Collection & Data Wrangling
Exploratory Data Analysis (EDA)
AI & ML Foundations Introduction to AI 10
AI Tools for Digital Productivity
Machine Learning Basics
ML Algorithms
CRM Tools Introduction to CRM 10
Mailchimp Overview
Odoo Overview
Total Technical Session 70
Capstone Project 20
Employability Skills 20
Total Full Course Duration 110