WEB DEVELOPMENT

APP DEVELOPMENT

DATA ANALYTICS

DATA SCIENCE

AI/ML DEVELOPMENT

Purpose

For students aiming to build a strong foundation in data analytics, focusing on real-world applications and career readiness.

Key Features

  • Hands-on learning with industry-relevant tools and techniques.

  • Focus on data manipulation, visualization, and statistical analysis.

  • Real-life projects and case studies to enhance practical skills.

Outcomes

  • Proficiency in data analytics tools and techniques.

  • Strong foundation for future career opportunities.

  • Assured paid internship upon successful completion.

Purpose

For students looking to build a solid foundation in web development, focusing on both front-end and back-end technologies.

Key Features

  • Comprehensive training in HTML, CSS, JavaScript, and popular frameworks.

  • Hands-on projects to create dynamic, responsive websites.

  • Exposure to real-world development practices and tools.

Outcomes

  • Mastery of web development concepts and frameworks.

  • Strong foundation for future web development careers.

  • Assured paid internship upon successful completion.

Purpose

For students interested in mastering app development, focusing on building functional and user-friendly mobile applications.

Key Features

  • Comprehensive training in app development frameworks and tools.

  • Hands-on projects to create and deploy fully functional apps.

  • Emphasis on UI/UX design principles and app functionality.

Outcomes

  • Mastery of app development concepts and frameworks.

  • Strong foundation for future app development careers.

  • Assured paid internship upon successful completion.

Purpose

For students aiming to build a strong foundation in data analytics, focusing on real-world applications and career readiness.

Key Features

  • Hands-on learning with industry-relevant tools and techniques.

  • Focus on data manipulation, visualization, and statistical analysis.

  • Real-life projects and case studies to enhance practical skills.

Outcomes

  • Proficiency in data analytics tools and techniques.

  • Strong foundation for future career opportunities.

  • Assured paid internship upon successful completion.

Purpose

For students interested in mastering data science, focusing on analyzing and interpreting complex data to derive actionable insights.

Key Features

  • Comprehensive training in data science tools, techniques, and frameworks.

  • Hands-on projects involving data cleaning, visualization, and predictive modeling.

  • Emphasis on real-world applications of data science in various industries.

Outcomes

  • Mastery of data analysis, machine learning, and data visualization techniques.

  • Strong foundation for future careers in data science and analytics.

  • Assured paid internship upon successful completion.

Purpose

For students passionate about AI and machine learning, focusing on designing intelligent systems that learn and adapt.

Key Features

  • Comprehensive training in AI/ML algorithms, tools, and frameworks.

  • Hands-on projects in deep learning, natural language processing, and computer vision.

  • Emphasis on ethical AI practices and real-world problem-solving.

Outcomes

  • Proficiency in AI/ML development and model deployment.

  • Strong foundation for advanced careers in AI and machine learning.

  • Assured paid internship upon successful completion.