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Click on any course title below to expand and view the detailed module breakdown, topics, and learning outcomes (2025-2026).
| Module | Core Topics Covered | Key Learning Outcomes |
|---|---|---|
| Module 1: Core Java & OOP | Introduction to Java, Data Types, Control Flow, Arrays, String Handling. Classes, Objects, Inheritance, Polymorphism, Abstraction, Encapsulation. Exception Handling, Multithreading, File I/O. | Mastery of fundamental Java concepts and Object-Oriented Programming (OOP) principles. |
| Module 2: Advanced Java & DB | Java Collections Framework, Generics. JDBC (Java Database Connectivity) for MySQL/PostgreSQL. Java Servlets and JSP for server-side processing. | Ability to connect Java applications to relational databases and handle HTTP requests/responses. |
| Module 3: Front-End Essentials | HTML5, CSS3, JavaScript (ES6+), DOM Manipulation, AJAX. Responsive design using Bootstrap/Tailwind CSS. Introduction to React fundamentals (components, state, props). | Skill to design and build modern, responsive user interfaces. |
| Module 4: Spring Boot & Frameworks | Introduction to Spring Core (IoC, DI). Spring MVC Architecture. Spring Boot for rapid development. Building RESTful APIs. | Expertise in industry-standard Java backend frameworks for creating scalable microservices. |
| Module 5: Persistence Layer | Hibernate ORM (Object-Relational Mapping). Configuration, Annotations, CRUD operations. Mapping relationships (One-to-One, One-to-Many). | Proficient in managing database interactions without writing verbose SQL. |
| Module 6: Development & DevOps | Git and GitHub for version control. Maven/Gradle for build automation. Introduction to CI/CD and deployment (e.g., Tomcat, AWS basics). | Ready to collaborate in a team environment and deploy applications to a cloud environment. |
| Capstone Project | Develop an end-to-end Enterprise Application (e.g., E-commerce Platform or HR Management System). | |
| Module | Core Topics Covered | Key Learning Outcomes |
|---|---|---|
| Module 1: Core Python & OOP | Python fundamentals, Data Structures (Lists, Tuples, Dictionaries). Functions, Modules, Error Handling. OOP in Python: Classes, Inheritance, Magic Methods. | Strong foundation in Python syntax and best practices for clean code. |
| Module 2: Front-End Essentials | HTML5, CSS3, Modern JavaScript (ES6+). Introduction to basic web design principles. | Ability to build the client-side interface for web applications. |
| Module 3: Django Framework | Setting up a Django project. MTV (Model-Template-View) Architecture. URL Routing, Views, Templates. Static file management. | Proficient in using the Django framework to structure web applications. |
| Module 4: Database & ORM | PostgreSQL/MySQL integration. Django ORM for database interaction. Database migrations and querying data. | Skill in defining and managing relational data models using Django’s powerful ORM. |
| Module 5: Advanced Django | Form handling and validation. User Authentication and Authorization. Building RESTful APIs using Django Rest Framework (DRF). Testing and Debugging. | Ability to implement complex features like user logins and API endpoints. |
| Module 6: Deployment & DevOps | Git, basic Linux commands. Deploying Django applications (e.g., Gunicorn/Nginx setup). Introduction to Dockerization. | Ready to manage and host a Python web application in a production environment. |
| Capstone Project | Develop a scalable Social Media Clone or Job Portal. | |
| Module | Core Topics Covered | Key Learning Outcomes |
|---|---|---|
| Module 1: Node.js & Express.js | Introduction to Node.js (V8 runtime), Asynchronous Programming, Event Loop. Setting up Express server, Routing, Middleware. Creating RESTful APIs (CRUD operations). | Proficient in server-side JavaScript, building robust and fast backend APIs. |
| Module 2: MongoDB | Introduction to NoSQL. MongoDB Shell commands, CRUD operations. Data Modeling with Mongoose ODM (Schemas, Models). Aggregation Framework. | Ability to design flexible, non-relational database structures for modern applications. |
| Module 3: React Fundamentals | JSX, Components (Functional/Class), Props, State. Component Lifecycle. Event Handling. Styling (CSS Modules, Styled Components/Tailwind). | Expertise in building modular, reusable, and dynamic user interfaces using React. |
| Module 4: Advanced React | React Hooks (useState, useEffect, useContext). React Router for navigation. State Management (Context API and Redux fundamentals). Data fetching with Axios/Fetch. | Skill in managing application state effectively and creating Single Page Applications (SPAs). |
| Module 5: Full Stack Integration | Connecting React front-end to Express/Node.js back-end. Implementing JWT (JSON Web Tokens) for authentication. Handling CORS. | Ability to seamlessly integrate all four technologies into a cohesive, secure application. |
| Module 6: Deployment | Deployment on cloud platforms (e.g., Heroku, Vercel, Netlify). Introduction to performance optimization and security best practices. | Ready to publish a MERN application to a live environment. |
| Capstone Project | Build a real-time Chat Application or a complex E-commerce site. | |
| Module | Core Topics Covered | Key Learning Outcomes |
|---|---|---|
| Module 1: Dart Programming | Dart fundamentals, Variables, Data Types, Control Flow. Functions, Classes, and OOP in Dart. Asynchronous programming (Futures, Async/Await). | Strong foundation in the Dart language required for Flutter development. |
| Module 2: Flutter Fundamentals | Setting up the Flutter environment. Introduction to Widgets (Stateless and Stateful). Layouts (Row, Column, Container, Stack). Navigation and Routing. | Ability to construct basic Flutter screens and manage application flow. |
| Module 3: UI/UX & Interactivity | Material Design and Cupertino (iOS) widgets. Advanced UI (ListViews, Grids). Handling user input (Forms, Gestures). Creating Custom Widgets. | Skill in designing visually appealing and highly interactive user interfaces. |
| Module 4: State & Data Management | Local State management (setState). Introduction to advanced State Management (Provider/Bloc/Riverpod). HTTP Networking, consuming REST APIs. | Expertise in managing complex data flows and updating the UI efficiently. |
| Module 5: Firebase Integration | Firebase setup and Authentication (Email/Google Sign-in). Firestore Database (Real-time data synchronization). Storage for images and files. | Ability to integrate essential backend services quickly and effectively. |
| Capstone Project | Develop a fully functional Note Taking App or a simplified Social Feed app. | |
| Module | Core Topics Covered | Key Learning Outcomes |
|---|---|---|
| Module 1: Core C Fundamentals | Introduction to Programming, Compilation Process. Data types, Operators, Control Structures (if/else, loops). Arrays, Functions, and Scope. | Strong grasp of procedural programming and foundational concepts. |
| Module 2: Pointers & Memory (C) | Pointers, Dynamic Memory Allocation (malloc, calloc, free). Structures and Unions. File Handling in C. | Understanding of low-level memory management, essential for efficient code. |
| Module 3: Transition to C++ | Introduction to C++, Input/Output (cout/cin). Classes and Objects (Introduction to OOP). Constructors and Destructors. | Seamless transition from procedural C to object-oriented C++. |
| Module 4: C++ OOP & STL | Inheritance, Polymorphism (Function Overloading, Virtual Functions). Exception Handling. Introduction to the Standard Template Library (STL) - Vectors and Lists. | Ability to apply object-oriented principles and utilize standard C++ data structures. |
| Module | Core Topics Covered | Key Learning Outcomes |
|---|---|---|
| Module 1: Java Basics | Setup (JDK, JRE), Variables, Control Statements (loops, switch). Logic Building exercises. | Confidence in writing basic, functional Java programs. |
| Module 2: Object-Oriented Programming (OOP) | Classes, Objects, Inheritance, Method Overriding, Polymorphism, Encapsulation, Abstraction (Abstract classes & Interfaces). | Complete mastery of all four pillars of OOP. |
| Module 3: Advanced Core Concepts | Exception Handling, Multithreading and Synchronization. Java I/O (Input/Output) Streams. | Skill in developing robust, concurrent, and error-proof Java applications. |
| Module 4: Java Collections | The Collections Framework: Lists, Sets, Maps. Generics. Lambda Expressions (basic introduction). | Proficiency in storing and manipulating complex data structures. |
| Module | Core Topics Covered | Key Learning Outcomes |
|---|---|---|
| Module 1: Python Basics | Syntax, Data Types, Operators, Control Flow. Built-in Data Structures (List, Tuple, Set, Dict). | Ability to write basic scripts and handle fundamental data types. |
| Module 2: Functions & Modules | Defining and calling functions. Scope, arguments (*args, **kwargs). Creating and importing custom modules and packages. | Understanding of modular programming principles. |
| Module 3: OOP and Advanced Features | Classes, Objects, Inheritance. Decorators, Generators, and Context Managers (with statement). File Handling (read/write). | Application of object-oriented concepts in Python. |
| Module 4: Essential Libraries | Introduction to NumPy (for numerical data) and Pandas (for data manipulation). Virtual Environments and package management (pip). | Ready to handle data analysis tasks and integrate Python into larger projects. |
| Module | Core Topics Covered | Key Learning Outcomes |
|---|---|---|
| Module 1: Data Acquisition (Power Query) | Connecting to diverse data sources (Excel, SQL, Web API). Data Cleaning and Transformation using Power Query Editor (M Language basics). Merging and Appending queries. | Proficient in sourcing, cleaning, and shaping data for analysis. |
| Module 2: Data Modeling | Creating relationships between tables (Cardinality and Cross-filter direction). Designing a Star Schema. Calculated Columns vs. Measures. | Ability to create efficient and robust relational data models. |
| Module 3: DAX (Data Analysis Expressions) | Basic DAX functions (SUM, AVERAGEX, COUNT). Advanced DAX: CALCULATE, Time Intelligence functions, Context Transition. | Mastery of the formula language to perform complex analysis and custom calculations. |
| Module 4: Visualization & Reporting | Report layout and design principles. Visualizations (Charts, Maps, Tables, Cards). Conditional Formatting, Slicers, and Filters. Creating interactive dashboards. | Skill in designing impactful, story-driven reports and dashboards. |
| Module 5: Power BI Service | Publishing reports to the cloud service. Configuring Gateways. Creating Dashboards. Row-Level Security (RLS) implementation. Sharing and collaboration. | Understanding of the deployment and management side of BI solutions. |
| Module | Core Topics Covered | Key Learning Outcomes |
|---|---|---|
| Module 1: RDBMS Fundamentals | Introduction to Relational Database Management Systems (RDBMS). Installation and setup (MySQL/PostgreSQL). | Understanding of database architecture and tools. |
| Module 2: Core SQL Commands | DML (INSERT, UPDATE, DELETE). DDL (CREATE, ALTER, DROP). Data integrity (Constraints: Primary Key, Foreign Key). | Proficiency in creating, manipulating, and managing data tables. |
| Module 3: Advanced Queries | DQL (SELECT, WHERE, GROUP BY, HAVING, ORDER BY). All types of Joins (INNER, LEFT, RIGHT, FULL). Subqueries and Views. | Ability to extract complex data sets using advanced querying techniques. |
| Module 4: Data Design | Introduction to Normalization (1NF, 2NF, 3NF). Transaction Management (COMMIT, ROLLBACK). Backup and Restore operations (basics). | Skill in designing well-structured, non-redundant databases. |
| Module | Core Topics Covered | Key Learning Outcomes |
|---|---|---|
| Module 1: Advanced Formulas | Financial, Logical, and Statistical functions. Nested functions. LOOKUP functions (VLOOKUP, HLOOKUP, XLOOKUP). Conditional Formatting. | Ability to use complex formulas to automate calculations and data decision-making. |
| Module 2: Data Analysis Tools | Sorting, Advanced Filtering. Pivot Tables and Pivot Charts. What-If Analysis (Goal Seek, Data Tables). Data Validation. | Expertise in summarizing and analyzing large datasets quickly. |
| Module 3: Introduction to VBA Macros | Recording and editing basic macros. Introduction to the VBA Editor. Variables, If-Then-Else statements, Loops in VBA. | Skill in automating repetitive tasks, significantly boosting productivity. |
| Module | Core Topics Covered | Key Learning Outcomes |
|---|---|---|
| Module 1: Computer Fundamentals | Windows OS basics, File Management, Hardware components. Internet, Email, and basic security concepts. | Comfortable navigating a computer system and the digital world securely. |
| Module 2: Microsoft Word | Document formatting, styles, tables, mail merge, and advanced print settings. | Ability to create professional and formatted documents. |
| Module 3: Microsoft Excel | Basic formulas, cell referencing, relative/absolute cells, basic charting, and data entry best practices. | Competence in managing and analyzing data in spreadsheets. |
| Module 4: Microsoft PowerPoint | Creating presentations, adding media, transitions, animations, and delivery techniques. | Skill in creating and presenting engaging visual aids. |
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