With Hands-on Practical Approach

At the end of the program: You will be able to do Real-Time Project 

Certification will be provided for Successful Candidates. 

College Internship for Students

Placement

Duration : As per College Regulations

Technologies you can choose: 


  • • Data Science
  • • Artifical Intelligence
  • • Java  
  • • Digital Marketing
  • • Web Technologies
  • • Full Stack Development
  • • Marketing Management
  • • Content Creators
  • • Campus Ambassador

    Course Approach :

  •   Scenario-driven learning allows participants to apply the principles in a realistic setting. The role-playing activities included in this course present a real world connection using situations that occur in everyday life. In addition, activities including brainstorming sessions, quizzes, seminars and discussions add to the interactive nature of this course.

  • Benefits of adopting this training program :

  •  Certification Training
  •  Increased agility able to deliver new IT capabilities faster.
  •  Innovation in IT delivery.
  •  Higher speed to market in job selection.
  •  Manipulation and configuration the application.
  •  More rapid provisioning of services, applications, capabilities and resources to support business and IT transformation and change.

  • Why Choose Us:

  •  100% Hands-on Experience with In-Depth Analysis.
  •  You will get Corporate Training with 100% job orientation and with Real Projects.
  •  Scenario-driven learning allows participants in a reaslistic setting Practice with Real-Time Projects Including Database Schema / Architecture.
  •  Work with Real time applications.
  •  Project management.
  •  Interview Point of View.
  •  Unlimited Real-Time Tasks.
  •  Mock Interviews.

Eligiblity: Pursuing Any Degree / B.Tech / MCA / M.sc / MBA

 

Artifical Intelligence

Placement

 Number of Hours: 60

  •  Inroduction to AI
  •  Real Life Examples Of AI
  •  Types Of AI
  • Machine Learning
  • Future Of AI
  • Benefits Of AI
  • Large Language Model's(LLM's)
  • Hands on with Chat GPT
  • Hands on with Gemini Pro
  • Hands on with Bing
  • Neural Networks

Data Science

Placement

 Number of Hours: 60

  •  Inroduction to Data Science
  •  Machine Learning
  •  Data Minig
  • Data Analysis
  • Statistics
  • Sampling
  • Probability
  • Decsion Trees
  • Data Visualization
  • Hypothesis Testing
  • Neural Networks

Full Stack Web Development

Placement

 Number of Hours: 60

Topics Covered: 

  •  HTML 5 , CSS, Bootstrap
  •  JavaScript
  •  My SQL DataBase Integration
  • Node js
  • Routing & Navigation
  • Services & Dependency Injection
  • Forms & Validation
  • Variable Scoping
  • Component Life Cycle
  • JSX
  • Hooks

 

Web Development with PHP

Placement

 Number of Hours: 60

Topics Covered: 

  •  HTML5, CSS, Bootstrap
  •  JavaScript
  •  My SQL DataBase Integration
  •  PHP
  •  OOP in PHP
  •  Sessions and Cookies

 

User Interface Development using UI/UX

Placement

 Number of Hours: 60

Topics Covered: 

  •  HTML 5
  •  CSS
  •  Bootstrap
  •  Adobe XD
  •  Figma

 

Full Stack Java Development

 Number of Hours: 60

Topics Covered: 

  •  Java Fundamentals
  •  Core Java
  •  String Handling
  •  Collection Framework
  •  Multithreading
  •  Exception Handling
  •  Advanced Java
  •  JSP
  •  Servlets
  •  JDBC
  •  Advanced Java
  •  Hibernate Framework
  •  Spring Framework

 

Full Stack Python Development

Placement

 Number of Hours: 60

Topics Covered: 

  •  Python Fundamentals
  •  Object-oriented programming
  •  Database Integration
  •  Python Libraries
  •  Python Frameworks
  •  ORM Libraries

 

Digital Marketing

Placement

 Number of Hours: 60

Topics Covered: 

  •  Search Engine Optimization (SEO)
  •  Paid Social and Paid Search Advertising
  •  Email Marketing
  •  Content Marketing
  •   Affiliate Marketing
  •   Mobile Marketing
  •   Social Media Marketing

 

R-Language

Placement

 Number of Hours: 60

Topics Covered: 

  •  Fundamentals of R
  •  Variables
  •  Input / Output
  •   Control Flow
  •   Functions
  •   Data Structures
  •   R-Object Oriented Programming
  •  Error Handling
  •  File Handling
  •  Error Handling
  •  Packages in R
  •  Data Interfaces
  •  Data Visualization
  •  Statistics