Applied Software Engineering, Cloud & AI Systems

​Core topics

• How software is built in real companies

• Developer mindset vs student mindset

• Programming fundamentals:

Variables, loops, conditions
Functions & modular thinking

• One primary backend language:

  • Java (preferred for enterprise)

• One scripting / AI glue language:

  • Python (lightweight)​

• Git & GitHub (non-negotiable)

Hands on:

• Daily coding exercises

• Debug broken programs

• Git-based assignments only

AI Enabled Learning:

• AI as:

  • Logic explainer

  • Syntax tutor

  • Debugging assistant

• Students must:​

  • Write prompts

  • Compare AI vs human logic

  • Explain why AI solution works or fails​

Mandatory)

​Core topics

• HTML & CSS (minimal, modern)

• Component-based UI thinking

• React fundamentals

• State, props, forms

• Calling backend APIs

• Authentication flows

Hands on:

• Build frontend dashboard

• Forms + validations

• Role-based UI

AI Enabled Learning:

• AI used to:

  • Generate UI components

  • Suggest UX improvements

• Students must:​

  • Improve accessibility

  • Fix logic errors manually

Mandatory)

​Core topics

• Prompt engineering for developers

• AI-assisted coding workflows

• AI-assisted testing

• AI-assisted debugging

• Secure & ethical AI usage

Hands on:

• Build features with AI assistance

• Generate tests using AI

• Measure productivity gain

• Mini full-stack project

Mandatory AI Discipline:

• Every submission must include:

1. Prompt used

2. AI output

3. Human verification

4. Final improved solution

​Core topics

• REST APIs (real-world design)

• Controllers → services → repositories

• Request validation

• Error handling

• Authentication basics
  JWT

• Databases:

  • SQL

  • PostgreSQL/MySQL

  • Schema design

  • Indexing basics​

Hands on:

• Build backend application

• CRUD APIs

• Secure endpoints

• API testing

AI Enabled Learning:

• AI used to:

  • Generate API skeletons

  • Suggest DB schemas

• Students must:​

  • Improve AI-generated code

  • Fix security & performance gaps

Mandatory)

​Core topics

• Cloud fundamental (AWS-focused)

• Compute, storage, databases

• Environment configs

• Containers

• Docker

• CI/CD basics

• Deployment strategies

Hands on:

• Containerize application

• Deploy backend + frontend

• Setup CI/CD pipeline

• Basic monitoring

AI Enabled Learning:

• AI used to:

  • Debug Docker & pipeline errors

  • Explain cloud failures

• Students must:​

  • Interpret logs themselves

  • Fix broken deployments

Capstone Project​

• Team or solo (based on strength)

• Real-world problem

• Full stack + cloud + CI/CD

• Documentation

• Demo day

Industry Readiness:

• Resume building

• GitHub portfolio polishing

• Interview coding practice

• System design basics

• Mock interviews

AI Enabled Learning:

• AI used to:

  • Architecture review

  • Code quality analysis

  • Interview simulation

• Students must:​

  • Interpret logs themselves

  • Fix broken deployments