Foundation → Applied · Integrated with practical tracks
AI-Assisted Software Development
Learn how developers use Claude, OpenAI Codex and other coding assistants for requirements, planning, starter code, debugging, refactoring, tests and documentation—without outsourcing engineering judgement.
who it's for
- ›Students learning modern development workflows
- ›Developers who want a disciplined AI-assisted process
- ›Freshers who need to explain AI-assisted projects honestly
curriculum
Fundamentals → AI-assisted build → capstone
01
Prompt From Requirements
Turn a business need into clear constraints, tasks and acceptance criteria.
02
Plan Before Generating
Review architecture, data flow and security implications before code.
03
Generate and Inspect
Use AI for starter code, then read and validate the result.
04
Debug and Refactor
Identify logic, performance and maintainability issues.
05
Test and Document
Create useful tests and documentation, then verify accuracy.
06
Apply in a Real Project
Use AI throughout a feature while retaining ownership of every decision.
outcomes
- ✓Use AI to develop smarter while understanding what you build
- ✓Identify incorrect, insecure or unsuitable generated code
- ✓Modify and explain AI-assisted work confidently
Ready to start AI-Assisted Software Development?
Tell us a bit about your background and we'll help you get started.