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Software Engineering Training Institute

One-Year Software Engineering Course with assignments and project ideas for graduates and engineers. The course is divided into 4 quarters (each of 12 weeks), focusing on progressive learning, practical implementation, and industry readiness.


🗂️ Quarter 1: Programming Fundamentals & Software Development Basics

Weeks 1–12

Week 1–2: Programming Basics with Python (or Java/C++)

  • Topics: Variables, Loops, Conditionals, Functions
  • Assignment: Write a calculator, number guessing game
  • Project: Simple CLI-based Quiz App

Week 3–4: Data Structures and Algorithms

  • Topics: Arrays, Lists, Stacks, Queues, Recursion
  • Assignment: Implement stack using arrays and linked lists
  • Project: Mini Library Management System (in CLI)

Week 5–6: Object-Oriented Programming

  • Topics: Classes, Objects, Inheritance, Polymorphism
  • Assignment: Design a class hierarchy for a Zoo or Bank system
  • Project: Inventory Management CLI tool using OOP

Week 7–8: Introduction to Software Engineering & SDLC

  • Topics: SDLC Models, Agile, Waterfall, Documentation
  • Assignment: Prepare SRS and Use Case for a ToDo App
  • Activity: Agile simulation (e.g., user stories and task breakdown)

Week 9–10: Version Control with Git & GitHub

  • Topics: Git basics, branching, pull requests
  • Assignment: Push all projects to GitHub with README
  • Project: Group Project Kick-off on GitHub

Week 11–12: Debugging, Testing Basics, Mini Project

  • Topics: Unit testing, basic debugging tools
  • Assignment: Write test cases for a calculator
  • Mini Project: Develop a text-based Task Tracker (CRUD operations)

🗂️ Quarter 2: Full-Stack Web Development

Weeks 13–24

Week 13–14: Frontend Basics

  • Topics: HTML5, CSS3, JS, Bootstrap
  • Assignment: Create a static website (Resume or Portfolio)
  • Project: Design UI for Blog Website

Week 15–16: JavaScript & DOM Manipulation

  • Topics: Functions, Events, AJAX basics
  • Assignment: Build a simple to-do list with JavaScript
  • Project: Weather Info App using external API

Week 17–18: React.js or Angular Basics

  • Topics: Components, Props, State, Routing
  • Assignment: Create a component-based interface
  • Project: Movie search app using React + TMDb API

Week 19–20: Backend Development with Node.js / Django / Spring Boot

  • Topics: REST APIs, Routing, Middleware, Authentication
  • Assignment: Create a basic REST API with CRUD operations
  • Project: Blog API or Student Records API

Week 21–22: Databases (MySQL & MongoDB)

  • Topics: SQL Queries, NoSQL Concepts, ORM (Mongoose/SQLAlchemy)
  • Assignment: Design schema for E-commerce database
  • Project: Integrate API with MongoDB or MySQL

Week 23–24: Full Stack Integration + Mini Project

  • Topics: Frontend + Backend integration
  • Mini Project: Full-Stack To-Do App or Blog System

🗂️ Quarter 3: Advanced Topics & DevOps

Weeks 25–36

Week 25–26: Testing and QA

  • Topics: Unit testing, Integration Testing (Selenium, JUnit)
  • Assignment: Write unit tests for existing REST API
  • Project: Add test coverage for previous full-stack project

Week 27–28: Introduction to DevOps

  • Topics: CI/CD, Docker, GitHub Actions, Jenkins
  • Assignment: Dockerize a Node.js/React app
  • Activity: Setup GitHub Actions for auto-deployment

Week 29–30: Cloud Fundamentals (AWS / GCP / Azure)

  • Topics: EC2, S3, IAM, basic deployments
  • Assignment: Deploy your full-stack app on AWS/GCP
  • Activity: Create an S3 static website

Week 31–32: Agile and Scrum Practices

  • Topics: Scrum roles, ceremonies, boards (Jira/Trello)
  • Assignment: Create a sprint board for Capstone Project
  • Activity: Conduct a simulated sprint

Week 33–34: Software Architecture

  • Topics: Monoliths vs Microservices, API Gateways, Caching
  • Assignment: Draw architecture diagram of a microservice app
  • Activity: Break your monolith project into services

Week 35–36: Mini Project with DevOps + Cloud

  • Project: Develop and deploy a microservice-based app using CI/CD and cloud
  • Deliverables: GitHub Repo + Cloud link + Architecture Doc

🗂️ Quarter 4: Specializations + Capstone Project

Weeks 37–48

Week 37–40: Choose Specialization Track

(Any one or two of the following)

Track 1: Mobile App Development (Flutter or React Native)

  • Assignment: Build a simple note-taking app

Track 2: Data Science & ML with Python

  • Assignment: Build a simple ML model (Iris dataset, Linear Regression)

Track 3: Cybersecurity Fundamentals

  • Assignment: Perform basic network scanning, XSS demo

Track 4: AI Integration in Web Apps

  • Assignment: Integrate ChatGPT API or sentiment analysis in web app

Week 41–48: Capstone Project

  • Real-world project (team-based preferred)
  • Agile-driven (2 sprints, peer review, retrospectives)
  • End-to-end: Design, Build, Test, Deploy
  • Final Demo + Presentation + Documentation

Examples:

  • Event Management Web App
  • E-commerce System
  • Online Course Platform
  • Fleet Management System
  • AI-Powered Customer Support Bot

🎯 Final Deliverables

  • GitHub Portfolio
  • Resume with Project Highlights
  • Capstone Project Demo + GitHub Code
  • Optional: Mock Interviews & Industry Expert Sessions

💼 Careers in Software Engineering

Software Engineering offers a wide range of career paths in technology, product development, and systems management. Professionals in this field design, build, test, deploy, and maintain software applications, systems, and infrastructure used in various industries like IT, finance, healthcare, education, telecom, and more.


🔑 Top Career Paths in Software Engineering

  1. Software Developer / Software Engineer
    • Develops applications or systems using programming languages like Java, Python, or C++.
    • Works on both frontend and backend development.
  1. Full-Stack Developer
    • Handles both client-side (frontend) and server-side (backend) development.
    • Skilled in technologies like HTML, CSS, JavaScript, React, Node.js, Python, etc.
  1. Web Developer
    • Specializes in creating websites and web applications.
    • Can be frontend (UI/UX focused), backend (server logic), or full-stack.
  1. Mobile App Developer
    • Builds apps for Android (Java/Kotlin) and iOS (Swift).
    • Can also use cross-platform tools like Flutter or React Native.
  1. DevOps Engineer
    • Bridges development and operations.
    • Focuses on automation, CI/CD pipelines, cloud infrastructure (AWS, Azure), and containerization (Docker, Kubernetes).
  1. Software Tester / QA Engineer
    • Ensures software quality through manual and automated testing.
    • Uses tools like Selenium, JUnit, or Postman.
  1. Cloud Engineer
    • Designs and maintains cloud infrastructure and services (AWS, Azure, GCP).
    • Works on cloud migration, virtualization, serverless computing, and security.
  1. Data Engineer / Big Data Developer
    • Builds data pipelines and architectures.
    • Uses tools like Apache Spark, Hadoop, SQL, Python, and cloud-based data services.
  1. Machine Learning / AI Engineer
    • Develops intelligent systems using algorithms and data.
    • Skilled in Python, TensorFlow, Scikit-learn, and neural networks.
  1. Cybersecurity Analyst
    • Protects systems and applications from cyber threats.
    • Performs security assessments, penetration testing, and monitoring.
  1. Systems Architect
    • Designs overall software architecture and infrastructure.
    • Ensures scalability, reliability, and performance.
  1. Product Manager / Technical Project Manager
    • Manages the planning, development, and delivery of software products.
    • Bridges business needs and technical implementation.

📈 Industry Trends & Emerging Roles

  • AI & Automation Specialists
  • Blockchain Developers
  • IoT Developers
  • Low-Code/No-Code Developers
  • Edge Computing Engineers
  • Site Reliability Engineers (SRE)

🎯 Career Development Opportunities

  • Professional Certifications (AWS, Microsoft, Google Cloud, Scrum Master, etc.)
  • Advanced Degrees (M.Tech, MS in CS, MBA in IT)
  • Open Source Contributions
  • Freelancing & Entrepreneurship

Here are salary insights for key software engineering roles in 2025, with approximate figures based on India, United States, and Global Averages. Salaries vary depending on location, company size, experience level, and certifications.


💰 1. Software Developer / Software Engineer

RegionEntry-LevelMid-Level (3–5 yrs)Senior (5+ yrs)
India₹4–8 LPA₹8–15 LPA₹15–30+ LPA
United States$70K–$100K$100K–$140K$140K–$200K+
Global Average$40K–$80K$80K–$120K$120K–$180K

💰 2. Full-Stack Developer

| India | ₹5–10 LPA | ₹10–20 LPA | ₹20–35+ LPA |
| USA | $75K–$110K | $110K–$150K | $150K–$200K+ |


💰 3. Web Developer

| India | ₹3–7 LPA | ₹7–12 LPA | ₹12–20+ LPA |
| USA | $60K–$90K | $90K–$120K | $120K–$160K |


💰 4. Mobile App Developer

| India | ₹5–12 LPA | ₹12–18 LPA | ₹18–30+ LPA |
| USA | $80K–$120K | $120K–$160K | $160K–$200K+ |


💰 5. DevOps Engineer

| India | ₹6–12 LPA | ₹12–25 LPA | ₹25–40+ LPA |
| USA | $90K–$130K | $130K–$170K | $170K–$220K+ |


💰 6. Software Tester / QA Engineer

| India | ₹3–8 LPA | ₹8–14 LPA | ₹14–20+ LPA |
| USA | $60K–$100K | $100K–$130K | $130K–$160K |


💰 7. Cloud Engineer (AWS, Azure, GCP)

| India | ₹6–14 LPA | ₹14–25 LPA | ₹25–45+ LPA |
| USA | $90K–$140K | $140K–$180K | $180K–$230K+ |


💰 8. Data Engineer / Big Data Developer

| India | ₹6–15 LPA | ₹15–30 LPA | ₹30–50+ LPA |
| USA | $100K–$150K | $150K–$200K | $200K–$250K+ |


💰 9. Machine Learning / AI Engineer

| India | ₹7–18 LPA | ₹18–35 LPA | ₹35–60+ LPA |
| USA | $110K–$160K | $160K–$220K | $220K–$300K+ |


💰 10. Cybersecurity Analyst

| India | ₹6–12 LPA | ₹12–22 LPA | ₹22–40+ LPA |
| USA | $90K–$130K | $130K–$180K | $180K–$220K+ |


💰 11. Software Architect

| India | ₹15–30 LPA | ₹30–50 LPA | ₹50–80+ LPA |
| USA | $140K–$200K | $200K–$250K+ | $250K–$300K+ |


💰 12. Product Manager / Tech PM

| India | ₹12–25 LPA | ₹25–50 LPA | ₹50–70+ LPA |
| USA | $120K–$160K | $160K–$210K | $210K–$300K+ |


📝 Note:

  • LPA = Lakhs Per Annum (₹)
  • Salaries in Tier-1 cities (like Bengaluru, Mumbai, Hyderabad, Delhi NCR) are often 15–30% higher.
  • Certified professionals (e.g., AWS, GCP, PMP, Scrum, ML) often command 20–40% higher pay.

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Enroll in a one-year practical Software Engineering course designed for graduates and engineers. Learn programming, full-stack development, DevOps, cloud, Agile, and more. Build real-world projects, prepare for certifications, and become job-ready for careers in software development and engineering.