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AI-Powered Software Development Internship — Kopfus AI
K
Kopfus AI
Program Curriculum · 2025–26
Internship Program Documentation
AI-Powered Software
Development
Internship Program
Full Stack MERN Engineering with AI Integration & Professional SDLC Practices
3 mo
Program Duration
8
Training Weeks
2 –3 hrs
Daily Commitment
6 +
Portfolio Projects
Confidential · For Institutional Use Only
kopfus.com
Karnataka Initiative
Section 01
Program Overview
Program Purpose
Industry-Oriented Training & Internship

A structured engagement designed to transform students from beginners into capable full stack software developers with practical, hands-on exposure to modern AI-powered application development workflows.

Program Philosophy
Beyond Code — Professional Engineering

Students learn not just to write code, but how professional engineering teams design, build, manage, deploy, and maintain scalable software products using modern SDLC practices and AI-integrated workflows.

3 mo
Total Duration
2 mo
Phase 1 — Training
1 mo
Phase 2 — Internship
2–3 hrs
Daily / Mon–Fri
Section 02
Learning Objectives
01

Build complete full stack web applications using the MERN stack from design through deployment.

02

Understand and implement professional SDLC workflows including Agile sprints and collaborative practices.

03

Design scalable frontend and backend system architectures suited for production environments.

04

Work with APIs, databases, authentication systems, and deployment pipelines professionally.

05

Integrate AI capabilities — including OpenAI APIs and prompt engineering — into real-world applications.

06

Use GitHub and collaborative engineering workflows at an industry-standard professional level.

07

Deploy and maintain production-oriented applications with monitoring and security awareness.

08

Build a portfolio of real engineering projects demonstrating full stack and AI development skills.

Section 03
Technology Stack
Frontend
HTML5 CSS3 JavaScript ES6+ React.js Tailwind CSS
Backend & Database
Node.js Express.js MongoDB Mongoose ODM
AI Integration
OpenAI API Prompt Engineering AI Workflows LLM Integration
Dev & DevOps
Git & GitHub Postman Docker CI/CD Deployment Platforms
Professional Practices
Agile / Sprint Workflows SDLC Code Review Technical Documentation System Design Debugging & QA
Phase 01 — Engineering Training
Corporate-Grade AI Engineering Training
2
Months
8
Weeks
4+
Mini Projects
01
Phase 1 · Month One
Software Development Foundations
Week 01
Introduction to Software Engineering & Web Fundamentals
6 Modules
M1
Understanding Software Engineering
Core Topics
  • Types of software applications & product architecture
  • Frontend, backend, database, and API overview
  • Cloud-based applications & modern technology stacks
  • Monolithic vs. modern architectures
  • Client-server communication & request-response lifecycle
Learning Outcome
  • Students understand how modern software products are structured and delivered
M2
Introduction to SDLC
Core Topics
  • Requirement analysis, planning & sprint workflows
  • Design, development, testing & deployment phases
  • Agile vs. Waterfall methodology
  • Sprint planning & task management concepts
  • Developer collaboration workflows
Practical Activities
  • Breaking features into tasks & creating development roadmaps
M3
Web Fundamentals & API Communication
Core Topics
  • How the internet works — DNS, domains, hosting
  • HTTP/HTTPS, REST architecture, JSON structure
  • HTTP methods & status codes
Hands-On
  • API testing with Postman
  • Browser developer tools usage
M4
HTML5 Fundamentals
Core Topics
  • Structure of web pages & semantic HTML
  • Forms, validation & media integration
  • Accessibility basics
Hands-On
  • Portfolio website structure
  • Multi-page HTML project
M5
CSS3 & Responsive Design
Core Topics
  • CSS selectors, Flexbox & Grid system
  • Responsive & mobile-first development
  • Positioning systems & responsive breakpoints
Hands-On
  • Responsive landing pages
  • Mobile-first layout construction
M6
JavaScript Fundamentals
Core Topics
  • Variables, functions, loops & conditions
  • Arrays, objects & DOM manipulation
  • Scope, closures & event handling
Hands-On
  • Interactive UI components
  • JavaScript mini applications
★
Week 1 Mini Project
Responsive Personal Portfolio Website
Week 02
Version Control & Modern JavaScript
3 Modules
M1
Git & GitHub Professional Workflows
Core Topics
  • Version control concepts, Git setup & core commands
  • Branching strategies, pull requests & collaboration
  • Merge conflict resolution & repository management
  • Open-source workflow basics
Hands-On
  • Team collaboration exercises
  • GitHub project management
M2
Advanced JavaScript (ES6+)
Core Topics
  • Arrow functions, template literals, destructuring
  • Spread/rest operators & ES6 modules
  • Promises, async/await & async error handling
Hands-On
  • API integration exercises
  • Async data fetching applications
M3
APIs & Backend Communication
Core Topics
  • REST APIs & CRUD operations
  • API consumption & authentication concepts
Hands-On
  • Integrating public APIs
  • Building dynamic data-driven applications
★
Week 2 Mini Project
Weather & Live Data Dashboard
Week 03
React Frontend Development
3 Modules
M1
React Fundamentals
Core Topics
  • React architecture, components, JSX
  • Props, state & React hooks
  • Functional components, lifecycle & reusability
Hands-On
  • Building reusable UI systems
M2
Frontend Application Architecture
Core Topics
  • Routing with React Router
  • State management & form handling
  • Controlled components & conditional rendering
Hands-On
  • Multi-page React applications
M3
UI/UX Engineering Principles
Core Topics
  • Responsive design systems & modern UI patterns
  • Component structuring & accessibility
  • User-centered design basics
★
Week 3 Mini Project
Task & Productivity Management Dashboard
Week 04
Node.js & Backend Engineering
3 Modules
M1
Node.js Fundamentals
Core Topics
  • Runtime environments & Node architecture
  • Package management via NPM
  • Express.js introduction & middleware concepts
M2
REST API Development
Core Topics
  • API architecture & CRUD API construction
  • Route handling, middleware implementation
  • Request validation & error handling
Hands-On
  • Building complete backend services
M3
Authentication & Security
Core Topics
  • JWT authentication & password hashing
  • Session handling & API security fundamentals
  • Authorization vs. authentication
Hands-On
  • Full login/signup system implementation
★
Week 4 Mini Project
Authentication & User Management System
02
Phase 1 · Month Two
Full Stack Engineering & AI Integration
Week 05
Database Engineering & Full Stack Integration
3 Modules
M1
MongoDB Fundamentals
Core Topics
  • Database concepts & NoSQL architecture
  • Collections, documents & CRUD operations
  • Schema design & relationships in MongoDB
M2
Mongoose ODM
Core Topics
  • Models, schemas & data validation
  • Query handling & relationship management
Hands-On
  • Building database-driven applications
M3
Full Stack Integration
Core Topics
  • Frontend–backend communication
  • Authentication flow integration
  • State synchronization across stack
★
Week 5 Mini Project
Expense Tracking System (Full Stack)
Week 06
Advanced MERN Stack Development
3 Modules
M1
Scalable Application Architecture
Core Topics
  • MVC architecture & folder structuring
  • Reusable components & service-based architecture
  • Clean code practices & code modularization
M2
Production-Level Features
Core Topics
  • File uploads & role-based access systems
  • Admin dashboards, pagination & filtering
Hands-On
  • Building enterprise-grade feature modules
M3
Deployment & DevOps Basics
Core Topics
  • Hosting fundamentals & environment variables
  • Build pipelines & CI/CD introduction
  • Docker basics & deployment workflows
★
Week 6 Mini Project
Learning Management System (LMS)
Week 07
AI-Powered Software Development
4 Modules
M1
Introduction to AI-Powered Applications
Core Topics
  • What are AI-powered applications
  • Understanding LLMs (Large Language Models)
  • AI APIs, integrations & workflows
  • Generative AI concepts & limitations
M2
Prompt Engineering Fundamentals
Core Topics
  • Prompt structuring & context engineering
  • Response optimization & AI output validation
Hands-On
  • Practical prompt experimentation exercises
M3
AI Integration in MERN Applications
Core Topics
  • OpenAI API integration in full stack apps
  • AI chat interfaces & workflow automation
  • AI-enhanced dashboards & features
M4
AI in SDLC & Engineering Workflows
Core Topics
  • AI-assisted coding & debugging workflows
  • AI for documentation generation
  • Responsible AI usage & human validation
Learning Outcome
  • Students understand how engineering teams use AI practically in development
★
Week 7 Mini Project
AI Customer Support Assistant
Week 08
Capstone Development & Production Engineering
4 Modules
M1
System Design Fundamentals
Core Topics
  • Application architecture planning
  • Feature breakdown & database planning
  • API structuring for scale
M2
Testing & Debugging
Core Topics
  • Debugging workflows & error logging
  • Testing fundamentals
  • Frontend & backend debugging approaches
M3
Deployment & Production Readiness
Core Topics
  • Production deployment workflows
  • Monitoring basics & security considerations
Hands-On
  • Deploying full stack applications end-to-end
M4
Resume, Portfolio & Interview Preparation
Core Topics
  • Resume optimization for engineering roles
  • GitHub portfolio construction & presentation
  • Technical interview preparation basics
Capstone Project Options
Project 01
AI-Powered CRM System
Project 02
AI Resume Screening Platform
Project 03
AI Productivity Dashboard
Project 04
Smart Customer Support Platform
Project 05
AI Workflow Automation System
Project 06
E-Commerce with AI Features
Phase 02 — Live Internship
Real-World Project Execution & Engineering Practice
1
Month
Live
Client Projects
Internship Responsibilities
  • Feature implementation on live client projects
  • Frontend development & component building
  • Backend API development & integration
  • Bug fixing, debugging & quality assurance
  • AI workflow integration into existing systems
  • Deployment support & environment management
  • GitHub collaboration & pull request workflows
  • Engineering documentation
Engineering Practices Followed
  • Agile sprint workflows with daily task management
  • GitHub collaboration & branching standards
  • Code review & peer feedback processes
  • SDLC management & milestone tracking
  • Team communication standards
  • Engineering documentation practices
Phase 2 Outcome
By the end of the internship phase, students have worked on actual client deliverables, operated within a professional engineering team structure, and produced work they can demonstrate in any technical interview or placement process — not tutorial clones, but real production contributions.
Section 04
Final Deliverables & Certification
🏅
Corporate Training Certificate
📄
3-Month Internship / Experience Letter
QR-Code Verifiable
🗂️
Capstone Project Portfolio
📊
Technical Evaluation Report
💻
GitHub Portfolio Enhancement
🏢
Industry Workflow Exposure Certificate
Kopfus AI · Karnataka Student Empowerment Initiative
Building Engineers Who Create AI —
Not Just Use It.
This curriculum document is issued for institutional review purposes as part of the Kopfus AI Internship Drive. For queries, contact the partnerships team.
Sumit Madde · Partnerships
+91 90198 27207
sumitmadde@kopfus.com
kopfus.com
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