Professional Software Development – 6-Month Live Project, Agile & Internship Program

Duration: 6 Months
Core Program Fee: ₹60,000
Optional AI Specialization: Additional ₹20,000
Core + AI Specialization: ₹80,000

Introduction

The Professional Software Development – 6-Month Live Project, Agile & Internship Program
is a practical, career-oriented training program designed for students, freshers,
job seekers, aspiring software professionals and individuals who want to develop
practical software development skills through structured learning and project-based
experience.

The program combines technical training with practical project exposure. Students
progressively learn how software applications are planned, developed, tested,
reviewed, deployed and maintained in a structured development environment.

Unlike a purely classroom-based program, the course is designed around
hands-on development and live project exposure. Subject to project
availability, student skill level, project requirements and applicable policies,
students may be assigned development tasks and participate in project activities
under appropriate guidance and supervision.

The program also introduces students to an Agile/Scrum development
environment, helping them understand how development teams organize
requirements, plan tasks, execute sprints, review work, resolve issues and
deliver software.

Program Objectives

The primary objective of the program is to develop practical software development
capabilities and provide students with exposure to professional development
practices.

• Develop a strong foundation in modern software development.
• Learn frontend, backend and API-based application development.
• Develop practical programming skills using Python and JavaScript technologies.
• Learn modern web application development using React and Next.js.
• Understand Git and GitHub-based development workflows.
• Understand databases, authentication, APIs and application integration.
• Learn cloud deployment fundamentals using AWS.
• Understand Agile and Scrum-based software development practices.
• Gain practical exposure through project-based development activities.
• Learn professional practices including task management, testing, debugging,
  code review and documentation.
• Develop projects that can demonstrate the student’s practical learning and
  development capabilities.
• Prepare students for structured internship and entry-level project environments.

What You Will Learn

1. Programming & Development Fundamentals

• Programming concepts and problem solving
• HTML and CSS fundamentals
• JavaScript fundamentals
• Development tools and VS Code
• Command-line fundamentals
• Project structure and dependency management
• Environment variables and development environments

2. Python Development

• Python fundamentals
• Data types and control structures
• Functions and modules
• Object-oriented programming
• Exception handling
• File handling
• Packages and virtual environments
• Practical backend development concepts

3. APIs & Backend Development

• HTTP and web communication
• REST API concepts
• GET, POST, PUT, PATCH and DELETE
• JSON and request/response handling
• API authentication
• CRUD operations
• API integration
• API testing and debugging
• Backend architecture fundamentals

4. React & Next.js

• React fundamentals
• Components, props and state
• Hooks and event handling
• Forms and validation
• Next.js fundamentals
• Routing and layouts
• Server and client concepts
• API integration
• Authentication
• Database integration
• Full application development

5. Git & GitHub

• Git fundamentals
• Repositories and commits
• Branches and merging
• Merge conflict resolution
• Pull requests
• Code collaboration
• Version control practices
• GitHub project workflows

6. AWS & Cloud Fundamentals

• Cloud computing concepts
• AWS fundamentals
• IAM fundamentals
• Application hosting concepts
• EC2 fundamentals
• S3 fundamentals
• Environment configuration
• Application deployment
• Domain and hosting concepts
• Basic cloud security and monitoring concepts

Agile & Scrum Development Environment

A key component of the program is exposure to an Agile software development
environment. Students learn how development teams organize and execute work
using practical Agile and Scrum concepts.

• Agile principles and software development practices
• Scrum fundamentals
• Product backlog and sprint backlog
• User stories
• Acceptance criteria
• Task assignment and prioritization
• Sprint planning
• Daily stand-ups
• Sprint reviews
• Sprint retrospectives
• Bug tracking and resolution
• Code review and pull-request workflows
• Team collaboration and project communication

Live Project-Based Learning

Practical project exposure is an integral part of the program. Students are
expected to apply concepts learned during training to practical development
activities.

Depending on the project, student skill level, project requirements and
organizational policies, students may participate in activities such as:

• Understanding project requirements
• Breaking requirements into development tasks
• Creating and working with Git branches
• Developing frontend features
• Developing backend features
• Creating and integrating APIs
• Database-related development
• Testing and debugging
• Bug fixing
• Code review
• Documentation
• Application deployment
• Project demonstrations and reviews

The purpose of live project exposure is to provide practical learning and
familiarity with professional development workflows. Access to particular
projects, repositories, systems, data or production environments may be
restricted based on confidentiality, security, client requirements and
organizational policies.

Optional AI Specialization

Students who wish to develop additional skills in Artificial Intelligence
may enroll in the AI Development, Prompt Engineering, AI Agents &
Automation Specialization for an additional fee of ₹20,000.

The AI Specialization is optional and is not mandatory for
completion of the core ₹60,000 Professional Software Development program.

AI Specialization Includes

• Generative AI fundamentals
• LLM and AI application concepts
• Prompt engineering
• Context and instruction design
• Structured AI outputs
• AI-assisted software development
• OpenAI Codex
• GitHub Copilot
• AI API integration
• AI-powered web applications
• AI agents and agent architecture
• Tool and API integration for agents
• AI workflows and automation
• Practical AI project development

Program Features

Program Fee & Learning Options

* Internship participation and issuance of an experience letter are subject
to the applicable internship terms, successful completion requirements,
attendance/participation requirements, project requirements and other
applicable policies of the program/internship provider.

Internship & Experience Documentation

The program is designed to provide eligible students with an internship
opportunity following or as part of the applicable program structure.
Internship allocation, project assignment, duration, responsibilities and
completion requirements may vary according to project availability,
organizational requirements and the student’s eligibility.

Successful completion of the internship may be documented through an
experience letter or other applicable internship documentation, in accordance
with the organization’s policies and the student’s actual participation.

The internship and experience letter do not constitute a guarantee of permanent
employment, job placement, salary, promotion or future employment with the
organization or any third party.

Who Can Enroll?

• Students
• Fresh graduates
• Job seekers
• Career starters
• Individuals transitioning into software development
• Working professionals seeking practical development skills
• Entrepreneurs and individuals interested in building software products

No specific prior professional software development experience is required,
although basic computer literacy and a willingness to learn are recommended.
The actual level of participation in project activities may depend on the
student’s demonstrated skills and readiness.

Learning & Project Participation

Students are expected to actively participate in classes, assignments,
project activities, reviews and other components applicable to their selected
program. Practical project responsibilities may be progressively assigned
based on demonstrated knowledge, skills, conduct and project requirements.

Live projects may involve confidential, proprietary or client-related
information. Students may therefore be required to comply with applicable
confidentiality, data protection, security, intellectual property and
non-disclosure requirements.

Important Program Information

• This is a professional training and practical project-based learning
  program and is not a guarantee of employment.
• Completion of the program does not automatically guarantee a job,
  salary, placement, promotion or employment with any particular company.
• Live project participation is subject to project availability, student
  readiness, applicable policies and confidentiality/security requirements.
• Internship participation is subject to the applicable eligibility,
  attendance, conduct, performance and completion requirements.
• The AI Specialization is optional and requires an additional fee of
  ₹20,000.
• The ₹60,000 core program fee does not include the optional AI Specialization.
• Any third-party software, cloud services, paid APIs, hosting, domains,
  certifications or other external services, where applicable, may be
  subject to separate charges unless expressly stated as included.
• Course modules, technologies, tools and project assignments may be updated
  where reasonably necessary to reflect changes in technology, project
  requirements or industry practices.

Program Outcome

Upon successful completion of the applicable training and project requirements,
students should have developed practical familiarity with software development,
Git-based collaboration, API development, Next.js, Python, AWS, Agile workflows
and project-based software development.

Students who additionally complete the optional AI Specialization will also
develop practical exposure to prompt engineering, AI-assisted development,
AI APIs, AI agents and automation workflows.

Learn. Build. Collaborate. Deploy. Gain Practical Experience.

The program is designed to bridge the gap between learning software development
concepts and applying those concepts in a structured project environment.
Students learn technologies, apply them to practical tasks, experience Agile
workflows and progressively develop the professional habits required for
software development projects.