📌 Module 1: Computer Fundamentals & IT Basics ✅

Introduction to Computer

    » Computer Fundamentals & IT Basics

  1. Overview of computer systems: evolution, generations, and classifications
  2. Understanding hardware components: CPU, input/output devices, memory, and storage
  3. Software types: system software, application software, and open-source software
  4. Number systems and their conversions: binary, decimal, octal, hexadecimal
  5. Basics of operating systems: types, functions, and comparison (Windows, Linux, macOS)
  6. Introduction to computer networks and Internet architecture
  7. IT tools for productivity: email, web browsers, cloud storage, and collaboration platforms
  8. Basics of data processing, file formats, and data security
  9. Emerging trends in IT: AI, IoT, cloud computing, and cyber ethics

📌 Module 2: Programming Languages ✅

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    » Programming Languages

  1. Introduction to programming paradigms: procedural, object-oriented, and functional
  2. Syntax, semantics, and structure of a programming language
  3. Data types, variables, constants, operators, and expressions
  4. Control structures: decision-making (if, else, switch) and loops (for, while, do-while)
  5. Functions and modular programming: recursion, parameters, and scope
  6. Array, string, and pointer manipulation (language-specific examples)
  7. Object-Oriented Programming (OOP) fundamentals: classes, objects, inheritance, polymorphism
  8. Introduction to modern languages: Python, Java, and C++ overview
  9. Hands-on programming projects for real-world problem-solving

📌 Module 3: Database Management System (DBMS) ✅

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» Database Management System (DBMS)

  1. Introduction to DBMS and its advantages over traditional file systems
  2. Types of databases: hierarchical, network, relational, and NoSQL
  3. Database models and architecture: conceptual, logical, and physical
  4. Entity-Relationship (ER) model: entities, attributes, relationships, and ER diagrams
  5. Relational model concepts: tables, keys (primary, foreign), and relational integrity
  6. Structured Query Language (SQL): DDL, DML, DCL, and advanced queries
  7. Normalization techniques

📌 Module 4: Office Automation & Productivity Tools ✅

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»Office Automation & Productivity Tools

  1. Overview of Office Automation and its importance in modern workplaces
  2. Advanced document formatting, referencing, and mail merge in MS Word
  3. Complex calculations, charts, data analysis, and conditional formatting in MS Excel
  4. Professional presentations with animations, multimedia, and transitions in MS PowerPoint
  5. Email and calendar management, rules, and scheduling using MS Outlook
  6. Collaboration using Google Workspace: Docs, Sheets, Slides, and Drive
  7. Automating repetitive tasks using macros and VBA in MS Office
  8. File management, PDF editing, and cloud-based storage integration
  9. Real-world office scenarios and mini-projects for hands-on experience

📌 Module 5: A5️⃣ Web Technologies✅

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    » Web Technologies

  1. Introduction to the Internet, WWW, and basics of web architecture
  2. HTML5: structure, semantic tags, forms, multimedia, and layout design
  3. CSS3: styling, responsive design, animations, and Flexbox/Grid system
  4. JavaScript fundamentals: variables, functions, DOM manipulation, and event handling
  5. Introduction to client-server architecture and HTTP/HTTPS protocols
  6. Basics of front-end frameworks: Bootstrap, jQuery overview
  7. Introduction to back-end technologies: PHP/Python with MySQL integration
  8. Web hosting, domain setup, and deployment fundamentals
  9. Mini projects: personal portfolio, contact form, and data-driven dynamic pages

📌 Module 6: Software Engineering & Project Management✅

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    » Software Engineering & Project Management

  1. Introduction to Software Engineering: concepts, principles, and software development life cycle (SDLC)
  2. Software development models: Waterfall, Agile, Spiral, and DevOps overview
  3. Requirements gathering, analysis, and specification techniques
  4. Software design fundamentals: UML diagrams, modularity, and design patterns
  5. Coding standards, version control, and documentation best practices
  6. Software testing methods: unit testing, integration testing, system testing, and acceptance testing
  7. Basics of Project Management: planning, scheduling, and resource allocation
  8. Risk management, quality assurance, and change management in software projects
  9. Tools for project management: MS Project, JIRA, Trello, and GitHub basics

📌 Module 7:Tally & Computerised Accounting

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    » : Tally & Computerised Accounting

  1. Introduction to computerized accounting and importance of Tally Prime
  2. Company creation, configuration, and user management in Tally
  3. Ledger and group creation for proper financial classification
  4. Recording transactions: vouchers (payment, receipt, sales, purchase, contra)
  5. Inventory management and integration with accounting entries
  6. GST implementation and compliance using Tally Prime
  7. Payroll processing and employee management features
  8. Generating financial reports: balance sheet, profit & loss, trial balance, and tax reports
  9. Data security, backup, restoration, and audit features in Tally

📌 Module 9:Final Project & Certification ✅

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    » Final Project & Certification

  1. Selection of a comprehensive project integrating multiple course modules
  2. Project proposal writing: objectives, scope, and methodology
  3. Planning and designing the project architecture and workflow
  4. Implementation using appropriate technologies and programming languages
  5. Testing, debugging, and optimization of the project deliverables
  6. Documentation: user manual, technical report, and project presentation
  7. Regular mentor feedback and iterative improvements
  8. Final project demonstration and viva voce examination
  9. Certification issuance based on project evaluation and overall course performance

📌 Module 9: Interview Preparation at kspinfosec ✅

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    » Interview Preparation at kspinfosec

  1. Understanding different types of interviews: Technical, HR, Group Discussion, and Aptitude
  2. Resume building: highlighting skills, projects, and certifications effectively
  3. Common technical interview questions and problem-solving approaches
  4. Basics of coding interviews: data structures, algorithms, and logical reasoning
  5. Mock technical interviews and live coding practice sessions
  6. Behavioral interview preparation: STAR method, communication skills, and confidence building
  7. Aptitude and reasoning test practice: quantitative, verbal, and logical reasoning
  8. Tips for interview etiquette, body language, and professional conduct
  9. Post-interview follow-up strategies and offer negotiation tips

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