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Live Sessions with Industry Experts.
Join interactive sessions, ask questions in real-time, and gain practical knowledge to accelerate your career.
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Recent Events.
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This session introduces the MVC design pattern and explains why combining data, business logic, and presentation in one place creates difficult-to-maintain code. Learn how separating responsibilities into Model, View, and Controller makes applications cleaner, more modular, and easier to test. The session includes a live refactoring demonstration, transforming spaghetti code into a structured MVC implementation, followed by a step-by-step walkthrough of the complete request lifecycle.
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Understand how modern web applications authenticate users and control access to resources and features. This session covers authentication, authorization, roles, permissions, RBAC, login workflows, sessions, tokens, middleware, and protected routes. Through practical examples, participants will learn how applications securely identify users, prevent unauthorized access, manage permissions, and build scalable access-control systems using secure and maintainable practices.
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Learn how to set up a React Native development environment for Android and understand the structure of a React Native project. This session covers the purpose of key folders and files, project organization, and development best practices to help you build, maintain, and scale mobile applications with confidence.
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This session introduces students to Flutter and demonstrates how to build their first mobile application. Participants will learn how to create a Flutter project, understand the project structure, explore essential widgets, and see how Flutter’s widget-based architecture simplifies UI development. Through a live demonstration, students will gain practical insights into Flutter development and leave with a solid foundation to begin building their own cross-platform applications.
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Modern software engineering goes beyond writing clean code. Every feature in a large-scale application involves architecture, scalability, distributed systems, real-time communication, data management, and performance optimization. In this session, we’ll deconstruct a popular digital product to understand the engineering principles and design decisions behind applications used by millions.
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Explore the fundamentals of UI (User Interface) and UX (User Experience) design while learning how they work together to create intuitive, engaging, and user-friendly digital products. Discover core design principles, user-centered design practices, and the process of improving usability through thoughtful interfaces. This session provides practical insights into creating meaningful user experiences that enhance customer satisfaction, increase engagement, and contribute to successful digital products.
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Discover how modern IT companies design and build scalable enterprise applications. In this live session, you’ll learn real-world software architecture, project structure, request flow, layered design, APIs, databases, authentication, caching, queues, cloud infrastructure, CI/CD, Docker, and deployment strategies used in production environments. Whether you’re a student or a working developer, this session will help you understand how professional software systems are architected beyond basic CRUD applications.
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Build a strong foundation in Git and GitHub while learning the essential version control concepts used by professional software development teams around the world. Explore industry-standard workflows for managing code, collaborating with teammates, tracking changes, handling branches and pull requests, and maintaining efficient development practices. This session equips you with practical skills to confidently contribute to real-world projects and streamline your software development workflow.
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Learn the fundamentals of data cleaning with Pandas by working with real-world datasets in Python. This session covers importing CSV files, exploring DataFrames, understanding data structure and summary statistics, selecting and filtering rows, sorting and grouping data, creating new columns, and exporting cleaned datasets. Gain practical experience with essential Pandas operations that help prepare accurate, organized, and analysis-ready data for machine learning and data science projects.








