Artificial Intelligence

Learn Vibe Coding with AI Agents

Vibe coding means building software by describing what you want to an AI coding agent, running what it produces and steering with feedback, instead of typing every line yourself. It's how a growing share of real…

PhysicalOnline
Mentor Faisal Adnan8 weeksSaturday & SundayOnsite (Islamabad campus) + Online (live)48 credit hours0 EnrolledEnglish / UrduLast updated 26 Sept 2026

Course description

Vibe coding means building software by describing what you want to an AI coding agent, running what it produces and steering with feedback, instead of typing every line yourself. It's how a growing share of real products get built now, and it has opened software to teachers, shop owners, analysts and students who never studied computer science. Our first batch included a school administrator and a pharmacy owner, and both shipped. This eight-week course teaches you to do it well, fast, but with enough judgement to ship something that works and is safe.

You'll learn how language models and coding agents work under the hood, how to write prompts that read like good tickets, and how to build complete web apps with agent-based tools such as Claude Code and Cursor-style editors. Along the way you pick up the fundamentals every builder needs, Git and deployment, databases and APIs, testing and debugging, security basics. Week six goes deeper into agents themselves, tool use, the Model Context Protocol (MCP) and automation. The capstone is a real product with real users, on a public URL.

No programming background needed. Classes are live on Saturdays and Sundays, on the Islamabad campus or online, and every session is hands-on with your own laptop.

Eight-week roadmap of the Learn Vibe Coding with AI Agents course

What You'll Learn

Explain what a language model and a coding agent actually do, and where each one is likely to let you down
Write prompts and specs with acceptance criteria that get correct code on the first or second try
Build complete web apps (frontend, server, database) with AI coding agents and understand the code they hand you
Use Git and deploy to a public URL with environment variables and CI checks on every push
Design database schemas and APIs with AI help, and check validation, auth and indexes yourself
Build agents and automations that use tools through MCP, with a human approving anything risky
Test, debug and secure AI-generated code with a checklist you'll keep using long after the course
Ship a real product with real users and present it on demo day
Certificate on completionWeekend classes, onsite or live onlineRecordings and our prompt libraries stay yoursA real product shipped to a public URLDemo day with mentors and local founders in the roomA community group that keeps building after the course ends

Skills You'll Gain

AI coding agents
PEPrompt engineering for code
Web app fundamentals
GAGit and GitHub
DDeployment
DADatabases and APIs
AI agents and MCP
TATesting and debugging
ASApplication security basics
PTProduct thinking

Test Yourself

Run your first coding agent

Set up an AI coding tool, ask it to build a tip-splitting calculator, then read every file it created and write one paragraph on how the code works. Most students are surprised how much they can follow.

Hands-on Lab Task

Write a spec that gets it right

Turn a vague request into a spec with context, acceptance criteria and constraints, then run the agent on both versions for the same feature and compare what came back.

Hands-on Lab Task

Build a class attendance app

Scaffold a Next.js-style app with a form, a server route and a database table, then add a monthly attendance summary page through small, separate prompts.

Hands-on Lab Task

Commit, push and deploy

Create a GitHub repository, commit in small named steps, connect a hosting platform, set environment variables and get a live preview URL for every branch.

Hands-on Lab Task

Automate a weekly report with an agent

Build an agent that reads data through an MCP server, drafts a weekly summary and sends it only after a human says yes, with a log of every tool call.

Hands-on Lab Task

Break and fix your own app

Run the testing, debugging and security checklist on your own project. Add tests, reproduce a bug, fix an injection risk and scrub a secret out of Git history.

Hands-on Lab Task

Fee by mode

Onsite / physicalRs 25,000
Online (live)Rs 15,000
Duration8 weeks
ScheduleSaturday & Sunday
Modules8
Quizzes0
Skill levelBeginner
CertificateYes