School of Programming

Where coding skills are transformed into real software careers.

Programming at LSA: Career-Ready, Not Just Classroom-Ready

Students collaborating on programming projects in modern coding lab

At the School of Programming, we don't just teach syntax and theory. We build problem-solvers, developers, and tech professionals who are ready for real-world software careers.

Our approach focuses on practical skills that matter in the industry: writing clean code, building real applications, debugging efficiently, and working in teams.

Logic building over rote learning
Real-world problem solving, not just textbook exercises
Projects that go on your resume and portfolio
Career readiness from day one

Programming Courses We Offer

Industry-aligned courses designed to make you job-ready. Each course includes hands-on projects, real-world tools, and career support.

Data Science

4 Months

Tech-first curriculum focused on analytics, ML pipelines, and deployment-ready skills.

120+ Hours Learning 5 Real Projects Industry Mentors

Python programming & data structures
Machine Learning & AI fundamentals
Data visualization with Matplotlib & Seaborn
Statistical analysis & predictive modeling

What You Will Learn

Learning Path Progression

Foundations

Python & Libraries

Data Analysis

EDA & Visualization

ML Algorithms

Models & Training

Deployment

Production Ready

Learning Outcomes

Build and deploy machine learning models in production
Analyze and visualize complex datasets effectively
Implement predictive algorithms for real-world problems
Work with big data frameworks and cloud platforms
Present data-driven insights to stakeholders

Course Overview

Data Science is one of the most in-demand fields today. This course teaches you how to extract insights from data, build predictive models, and make data-driven decisions. You'll work with real-world datasets and industry-standard tools used by companies like Google, Amazon, and Microsoft.

By the end of this course, you'll be able to analyze complex datasets, build machine learning models, and communicate insights effectively through visualizations.

Who This Course Is For

Engineering students looking to enter the data science field
Fresh graduates seeking high-demand tech careers
Career switchers interested in analytics and AI
Working professionals upskilling in data-driven roles

Skills You Will Master

Programming & Data Handling

Python Programming NumPy & Pandas SQL Databases Data Wrangling

Machine Learning & AI

Scikit-learn Supervised Learning Unsupervised Learning Deep Learning Basics

Data Visualization

Matplotlib Seaborn Power BI Dashboard Creation

Statistics & Analysis

Statistical Testing Hypothesis Testing Inferential Analysis A/B Testing

Tools & Technologies

Python NumPy Pandas Scikit-learn Matplotlib Seaborn Jupyter Notebook SQL Git & GitHub

Projects You Will Build

Complexity Progression: Beginner → Intermediate → Advanced

🔵 Customer Segmentation System Intermediate

Use clustering algorithms to segment customers based on purchasing behavior for targeted marketing strategies.

Tech Stack: Python, Scikit-learn, Pandas

🟢 Sales Forecasting Model Beginner

Build a regression model to predict future sales based on historical data and seasonal trends.

Tech Stack: Python, NumPy, Matplotlib

🟠 Sentiment Analysis Tool Advanced

Analyze social media or product reviews using natural language processing to gauge customer sentiment.

Tech Stack: Python, NLP Libraries, TensorFlow

🔴 Healthcare Prediction System Advanced

Create a machine learning model to predict disease outcomes based on patient data.

Tech Stack: Python, Scikit-learn, Medical Datasets

Career Outcomes & Support

Completion Certificate + Digital Badge

Upon successful completion, you'll be prepared for roles such as:

Data Analyst (Entry-level: ₹3-5 LPA)
Junior Data Scientist (Entry-level: ₹5-7 LPA)
Machine Learning Engineer (Experience: ₹8-12 LPA)
Business Intelligence Analyst (Entry-level: ₹4-6 LPA)
Research Analyst (Entry-level: ₹3.5-5 LPA)

Career Support Included: Resume building, mock interviews, portfolio development, internship opportunities, and placement assistance. Note: Placement is based on performance and availability; no guarantees provided.

Full Stack Java

4 Months

End-to-end application development with backend architecture and modern UI delivery.

160+ Hours Learning 5 Real Projects Industry Mentors

Java programming & object-oriented design
Spring Boot & REST API development
Frontend with HTML, CSS, JavaScript & React
Database management with MySQL & MongoDB

Course Overview

Full Stack Java development is the backbone of enterprise applications worldwide. This course teaches you to build complete web applications from frontend to backend using Java ecosystem technologies.

You'll master both client-side and server-side development, database integration, API creation, and deployment strategies used in professional software companies.

Who This Course Is For

Computer science and IT students
Aspiring full stack developers
Backend developers wanting to learn frontend
Anyone targeting enterprise software careers

Skills You Will Master

Backend Development

Core Java & OOP principles
Spring Framework & Spring Boot
RESTful API design and development
Microservices architecture basics

Frontend Development

HTML5, CSS3, and responsive design
JavaScript ES6+ fundamentals
React.js for building UIs
State management and component design

Database & Storage

SQL and relational database design (MySQL)
NoSQL databases (MongoDB)
Database normalization and optimization
ORM with Hibernate/JPA

DevOps & Deployment

Git version control
CI/CD pipeline basics
Docker containerization
Cloud deployment fundamentals

Tools & Technologies

Java Spring Boot React.js HTML/CSS JavaScript MySQL MongoDB Postman Git & GitHub IntelliJ IDEA VS Code Docker

Projects You Will Build

E-Commerce Platform

Build a complete online shopping system with product catalog, shopping cart, user authentication, and payment integration.

Task Management System

Create a collaborative project management tool with user roles, task assignment, and real-time updates.

Blog & Content Management System

Develop a full-featured blogging platform with CRUD operations, user comments, and content moderation.

Social Media Dashboard

Build a social networking application with user profiles, posts, likes, and follower systems.

Career Outcomes & Support

Upon completion, you'll be ready for roles such as:

Full Stack Developer
Java Developer
Backend Engineer
Web Application Developer
Software Engineer

Career Support Includes: Technical interview preparation, resume optimization, GitHub portfolio review, internship opportunities, and placement assistance. Note: Placement is performance-based; no guarantees provided.

Cyber Security

4 Months

Hands-on security labs with threat analysis, hardening, and incident response.

140+ Hours Learning 4 Real Projects Industry Experts

Network security & threat detection
Ethical hacking & penetration testing
Security tools: Kali Linux, Wireshark, Metasploit
Incident response & vulnerability assessment

Course Overview

Cyber security is critical in today's digital world. This course prepares you to protect systems, networks, and data from cyber threats. Learn ethical hacking, penetration testing, and security best practices used by security professionals worldwide.

You'll gain hands-on experience with industry-standard security tools and techniques, preparing you for roles in cybersecurity operations and defense.

Who This Course Is For

IT and networking students
System administrators wanting to specialize in security
Anyone interested in ethical hacking careers
Security enthusiasts and career switchers

Skills You Will Master

Network Security

TCP/IP networking fundamentals
Firewall configuration and management
VPN and encryption protocols
Network traffic analysis

Ethical Hacking

Penetration testing methodologies
Vulnerability scanning and exploitation
Social engineering techniques
Web application security testing

Security Tools & Platforms

Kali Linux operating system
Wireshark for packet analysis
Metasploit framework
Nmap, Burp Suite, and more

Incident Response

Threat detection and monitoring
Security incident handling
Forensic analysis basics
Security policy development

Tools & Technologies

Kali Linux Wireshark Metasploit Nmap Burp Suite Nessus OWASP ZAP John the Ripper Python (Security Scripting)

Projects You Will Build

Network Vulnerability Scanner

Build a tool to scan networks for vulnerabilities and generate security reports.

Penetration Testing Lab

Set up and conduct ethical hacking exercises on vulnerable systems in a controlled environment.

Security Monitoring Dashboard

Create a real-time dashboard for monitoring network traffic and detecting anomalies.

Incident Response Simulation

Simulate a security breach and practice incident response procedures and forensic analysis.

Career Outcomes & Support

After completing this course, you'll be prepared for:

Cyber Security Analyst
Ethical Hacker
Penetration Tester
Security Operations Center (SOC) Analyst
Information Security Specialist

Career Support Includes: Certification guidance (CEH, CompTIA Security+), resume building, interview preparation, internship opportunities, and placement assistance. Note: Placement depends on performance; no guarantees provided.

Python Programming

1 Month

40+ Hours Learning 3 Real Projects Hands-on Training

Python syntax & programming fundamentals
Data structures: lists, dictionaries, sets
Object-oriented programming in Python
File handling & automation scripting

Course Overview

Python is the most beginner-friendly programming language and is used across data science, web development, and automation. This course teaches you Python fundamentals from scratch, building a strong foundation for advanced programming.

You'll learn to write clean, efficient code and solve real-world problems using Python's powerful libraries and frameworks.

Who This Course Is For

Complete beginners with no programming experience
Students looking to transition into tech careers
Anyone interested in data science or web development
Career changers seeking foundational programming skills

Skills You Will Master

Python Fundamentals

Variables, data types, and operators
Control flow: if, loops, and functions
String manipulation and formatting
Error handling and debugging

Data Structures

Lists, tuples, and sets
Dictionaries and nested structures
List comprehensions
Working with collections module

Object-Oriented Programming

Classes and objects
Inheritance and polymorphism
Encapsulation principles
Design patterns basics

Practical Applications

File I/O operations
Working with APIs and libraries
Automation scripting
Web scraping basics

Tools & Technologies

Python 3 VS Code Jupyter Notebook Git & GitHub PyCharm requests library BeautifulSoup

Projects You Will Build

Calculator & Automation Tools

Build practical tools like calculators and file automation scripts that solve real-world problems.

Student Grade Management System

Create a system to manage student data, calculate grades, and generate reports using Python.

Web Scraper

Build a web scraper to extract data from websites and organize it for analysis.

Personal Finance Tracker

Develop an application to track income, expenses, and budgeting with data visualization.

Career Outcomes & Support

Upon completion, this course prepares you for:

Junior Python Developer
Data Analyst
Automation Engineer
Web Developer (with additional frameworks)
Foundation for advanced programming roles

Career Support Includes: Portfolio building, code review, GitHub setup, interview preparation, and internship opportunities. Note: Placement support provided; success depends on individual performance.

Java Programming

2 Months

80+ Hours Learning 3 Real Projects Hands-on Training

Java syntax and object-oriented programming
Collections framework and exception handling
Multithreading and concurrency
File I/O and stream processing

Course Overview

Java is one of the most widely-used programming languages for enterprise applications. This course teaches you core Java concepts and prepares you for advanced frameworks like Spring Boot.

Master object-oriented principles, build robust applications, and understand why Java is the backbone of many Fortune 500 companies.

Who This Course Is For

Beginner programmers learning their first language
Python programmers wanting to learn Java
Students aiming for enterprise software roles
Anyone interested in Android development

Skills You Will Master

Core Java

Java syntax and variables
Control structures and loops
Methods and function design
Access modifiers and encapsulation

Object-Oriented Programming

Classes, objects, and constructors
Inheritance and polymorphism
Abstraction and interfaces
Design patterns introduction

Advanced Concepts

Collections framework (List, Set, Map)
Exception handling and try-catch
Multithreading and synchronization
Generics and type safety

File & Stream Processing

File input/output operations
Serialization and deserialization
Stream API and functional programming
Working with JSON and XML

Tools & Technologies

Java 11+ IntelliJ IDEA Eclipse IDE Maven JUnit Testing Git & GitHub Gradle

Projects You Will Build

Banking System

Build a console-based banking application with account management and transactions using OOP principles.

Library Management System

Create a system to manage books, members, and borrowing operations with proper error handling.

Employee Payroll System

Develop a payroll application with salary calculations, deductions, and report generation.

Quiz Application

Build an interactive quiz application with score tracking and user management features.

Career Outcomes & Support

After this course, you'll be ready for:

Junior Java Developer
Software Developer
Android Developer (with additional training)
Backend Developer
Enterprise Application Developer

Career Support Includes: Code mentoring, portfolio development, technical interviews, and job placement assistance. Note: Placement based on individual performance and market availability.

Our Learning Methodology

Your journey from beginner to job-ready developer unfolds through these key milestones.

Learn by Doing — Write code from day one with hands-on labs and real-world practice
Build Your Portfolio — Create industry-standard projects that impress employers
Industry Mentorship — Get guided by experienced professionals on best practices and standards
Master Collaboration — Work in teams with code reviews mirroring real software development
Develop Problem-Solving — Master debugging and professional development workflows
Career-Ready Mindset — Build the habits and thinking patterns of successful developers

"We don't just teach coding. We teach you how to think like a programmer and solve real-world problems."

Our Hiring Partners

Trusted companies that recruit our learners. Logos are placeholders—swap with your partner brands.

What You'll Achieve

Beyond technical skills, you'll develop the mindset and habits of successful developers.

Career Ready

Complete projects, polished resume, and interview-ready. You'll know how to present yourself as a professional developer.

Problem solving mindset and logic skills

Problem Solver

Develop logical thinking and the ability to break down complex problems. These skills transfer across all programming languages.

Job Ready Developer

Armed with a portfolio of real projects, you'll be attractive to employers and confident in technical interviews and on the job.

Ready to Start Your Programming Journey?

Don't let another day pass. Join hundreds of students who've transformed their coding skills into real software careers at the School of Programming.

Talk to a Career Advisor