Thursday, 17 September 2026

Industrial Training & Paid Internship Program for CSE, IT & Engineering Students

industrial training institute internship ranchi


Practical Industrial Training with Stipend Opportunity in Ranchi

Web Social Traffic and Lemon Web Tech provide offline industrial training and paid internship programs in Ranchi for students who want practical exposure to software development, web technologies, data, artificial intelligence, cybersecurity, cloud computing, digital marketing and other technology domains.

Our objective is simple: help students move beyond classroom theory and learn how technology is actually used in professional projects.

Students enrolled in the industrial training program can work on practical assignments and real-world project activities under the guidance of experienced professionals.

Paid Internship & Stipend

Selected students participating in our paid internship program may receive a monthly stipend of ₹4,000 to ₹8,000, depending on their skills, performance, attendance, course, project involvement and internship role.

The stipend is an opportunity associated with the internship program and is not guaranteed to every student. Selection and stipend amount may vary based on the student's performance and the terms of the internship.

  • Training Location: Ranchi Campus
  • Mode: Offline / Classroom + Practical Training
  • Duration: Generally 30–45 days, depending on the selected course
  • Certificate: Internship / Industrial Training Completion Certificate
  • Stipend Opportunity: ₹4,000–₹8,000 per month for selected paid-internship candidates

Why Choose Our Industrial Training Program?

Work on Practical Projects

Students don't only study theory. They practice concepts through assignments, project work and industry-oriented tasks.

Hands-on Learning

Learn by actually writing code, creating websites, working with databases, analysing data, configuring cloud environments or working with digital marketing tools.

Industry Guidance

Students receive practical guidance from professionals and trainers who explain how technical skills are used in real working environments.

Build a Project Portfolio

Depending on the course, students can develop projects that can be demonstrated during interviews and added to their academic or professional portfolio.

Internship Certificate

Students who successfully complete the applicable internship/training requirements receive a certificate that documents their participation and completion.

Professional Workplace Exposure

Offline training provides students with exposure to workplace communication, teamwork, deadlines, project discussions and professional working practices.

Career-Oriented Skills

The curriculum is designed to help students develop practical skills that can support future internships, placements, freelancing opportunities or entry-level technology roles.

Who Can Join?

Our industrial training programs are suitable for students from:

  • B.Tech / BE – CSE, IT and related branches
  • BCA
  • MCA
  • BSc IT / Computer Science
  • Diploma in Computer Science / IT
  • BBA / BBM students interested in technology or digital marketing
  • M.Tech / MSc Computer Science and related programs
  • Polytechnic and engineering students
  • Students looking for short-term industrial training
  • Graduates who want to develop practical technology skills

Industrial Training for 1st Year Students

First-year students generally benefit from foundation-level training.

The focus can include:

  • Programming fundamentals
  • HTML and CSS
  • Basic JavaScript
  • Introduction to databases
  • Computer and internet fundamentals
  • Introduction to Python or Java
  • Basic problem solving
  • Introduction to web development
  • Basic project development

The objective is to help students understand how their classroom subjects connect with practical technology work.

Industrial Training for 2nd Year Students

Second-year students can select intermediate-level programs that strengthen their programming and development skills.

Training may include:

  • Java/Python programming
  • Web development
  • Database management
  • Front-end development
  • Back-end development
  • APIs
  • Git and development workflows
  • Data analysis
  • Cloud fundamentals
  • Cybersecurity fundamentals
  • Practical project development

Industrial Training for 3rd Year Students

Third-year students can focus on career-oriented and advanced technologies.

The training can include:

  • Full-stack development
  • Java/Python development
  • React/Node.js
  • Angular/Node.js
  • Machine Learning
  • Artificial Intelligence
  • Data Science
  • Cloud Computing
  • Cybersecurity
  • Data Analytics
  • IoT
  • Advanced project development

Students can use the training period to improve their technical portfolio before applying for final-year placements and internships.

Courses Offered Under the Industrial Training Program

1. Full Stack Java Internship Course

Duration: 30–45 Days

This course is designed for students who want to learn how Java is used for application and web development.

Students can learn:

  • Core Java fundamentals
  • Object-Oriented Programming
  • Classes and Objects
  • Inheritance and Polymorphism
  • Exception Handling
  • Collections
  • Database connectivity
  • SQL fundamentals
  • Java-based web development
  • Backend development concepts
  • Front-end fundamentals
  • APIs
  • Project development
  • Debugging and testing basics

Suitable for: B.Tech CSE/IT, BCA, MCA and students interested in Java development.

2. Python Full Stack Web Development

Duration: 30–45 Days

This program combines Python programming with front-end and back-end web development.

Students can learn:

  • Python fundamentals
  • Variables, functions and modules
  • Object-Oriented Programming
  • HTML
  • CSS
  • JavaScript fundamentals
  • Database concepts
  • SQL
  • Python web frameworks
  • Backend development
  • APIs
  • Authentication concepts
  • Project development

Suitable for: Students interested in Python development and full-stack web applications.

3. Machine Learning with Python

Duration: 30–45 Days

This course introduces students to machine learning concepts and their practical implementation using Python.

Students can learn:

  • Python for Machine Learning
  • NumPy
  • Pandas
  • Data preprocessing
  • Data cleaning
  • Data visualisation
  • Supervised learning
  • Unsupervised learning
  • Regression
  • Classification
  • Model evaluation
  • Feature engineering basics
  • Practical Machine Learning projects

Suitable for: CSE, IT, Data Science and students interested in AI/ML careers.

4. Cloud Computing with AWS

Duration: 30–45 Days

This program introduces students to cloud computing and AWS-based infrastructure.

Students can learn:

  • Cloud computing fundamentals
  • AWS concepts
  • EC2
  • S3
  • IAM
  • Cloud storage
  • Networking fundamentals
  • Security basics
  • Database services
  • Server deployment concepts
  • Monitoring
  • Cloud architecture fundamentals
  • Practical cloud exercises

Suitable for: Students interested in cloud computing, DevOps and IT infrastructure.

5. Cyber Security

Duration: 30–45 Days

This course introduces students to cybersecurity principles and responsible security practices.

Students can learn:

  • Cybersecurity fundamentals
  • Network security concepts
  • Information security
  • Authentication and access control
  • Common security threats
  • Web security fundamentals
  • Security monitoring
  • Vulnerability concepts
  • Secure coding principles
  • Risk management
  • Security awareness
  • Ethical and legal considerations
  • Practical security exercises

Suitable for: CSE, IT and students interested in cybersecurity and information security.

6. Full Stack Web Development – Angular + Node.js

Duration: 30–45 Days

This program focuses on modern web application development using HTML, CSS, JavaScript, Angular and Node.js.

Students can learn:

  • HTML5
  • CSS3
  • JavaScript
  • Responsive web design
  • Angular fundamentals
  • Components
  • Routing
  • Forms
  • Node.js
  • Express.js concepts
  • APIs
  • Database connectivity
  • Front-end and back-end integration
  • Full-stack project development

Suitable for: Students interested in becoming full-stack web developers.

7. Full Stack Web Development – React.js + Node.js

Duration: 30–45 Days

This program teaches students how to create modern web applications using React.js and Node.js.

Students can learn:

  • HTML
  • CSS
  • JavaScript
  • React.js
  • Components
  • Props and State
  • React Hooks
  • Routing
  • Node.js
  • Express.js
  • REST APIs
  • Database concepts
  • Front-end/back-end integration
  • Full-stack application development
  • Project deployment basics

Suitable for: CSE, IT, BCA and MCA students interested in modern JavaScript development.

8. Core Java

Duration: 30–45 Days

Core Java is designed for students who want to develop a strong foundation in Java programming.

Students can learn:

  • Java syntax
  • Variables and data types
  • Operators
  • Conditional statements
  • Loops
  • Arrays
  • Methods
  • Classes and objects
  • Constructors
  • Inheritance
  • Polymorphism
  • Encapsulation
  • Abstraction
  • Interfaces
  • Exception handling
  • Collections
  • File handling
  • Basic database connectivity
  • Practical Java projects

Suitable for: Beginners and students preparing for Java-based development careers.

9. Internet of Things – IoT

Duration: 30–45 Days

The IoT program introduces students to connected devices, sensors and communication between hardware and software systems.

Students can learn:

  • IoT fundamentals
  • Sensors and actuators
  • Microcontrollers
  • IoT architecture
  • Device communication
  • Networking basics
  • Data collection
  • Cloud connectivity
  • Programming fundamentals
  • IoT applications
  • Automation concepts
  • Practical IoT projects

Suitable for: CSE, IT, ECE and engineering students interested in connected technology.

10. Artificial Intelligence

Duration: 30–45 Days

This program introduces students to Artificial Intelligence concepts and practical AI applications.

Students can learn:

  • AI fundamentals
  • Python basics for AI
  • Data handling
  • Machine Learning fundamentals
  • Neural network concepts
  • Natural Language Processing basics
  • Computer vision concepts
  • Generative AI fundamentals
  • AI tools and applications
  • Model evaluation concepts
  • Practical AI projects

Suitable for: Students interested in Artificial Intelligence

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