AI School Pakistan

AI Pro Roadmap

AI user se AI professional tak

AI professional woh hai jo problem define kare, simplest capable system chune, usay evidence mein ground kare, failures test kare, data aur logon ko protect kare, ship kare, aur value explain kar sake. Tool familiarity finish line nahi hai.

4 complete free courses · 72 public lessons · no income or job guarantee

Neeche ka 90-day plan sirf chaar free courses use karta hai. Membership courses optional extensions hain. New membership enrolment and checkout are currently closed. Check membership availability.

The sequence

Char stages — har stage pe reviewable proof

Courses randomly collect mat karo. Har stage aisi evidence ke saath khatam karo jo koi doosra insaan review kar sake.

2

Build reliable AI systems

Free course

Supplied data se APIs, JSON, tool contracts, evidence checks aur local workflow tests practise karo. Hosted deployment agla optional project hai.

Proof →Tested local prototype — eight checks, README, saved results aur untested production controls ki clear list.
4

Run an ethical earning experiment

Membership required

Ek useful outcome package karo, demand validate karo, written scope aur payment milestones use karo, human QA ke saath deliver karo.

Proof →Offer, labelled sample, proposal, scope/QA notes, pricing practice aur supplied records ka review. Real client work follow-on practice hai.

Professional core

Das competencies — das tool logos nahi

Builder core official API, retrieval, agent, evaluation aur safety guidance ki disciplines follow karta hai.

01Problem framing aur acceptance criteria
02Source verification, research, citation discipline
03Prompt, context aur reusable instruction design
04JSON, HTTP, APIs, structured outputs, tool contracts
05Spreadsheet, document, image aur audio workflows
06Retrieval, grounded answers, permissions, freshness
07Agents, state, retries, idempotency, human approval
08Evals, red-team cases, logging, cost, reliability
09Privacy, security, consent, copyright, disclosure
10Portfolio proof, discovery, scope, delivery, review
Primary professional referencesOpenAI agents guideOpenAI evals guide

Earning paths

Skill ko value mein kaise badlein

Income useful work, proof, fit, timing aur execution ka outcome hai. Curriculum controllable steps sikhata hai — guaranteed number nahi.

Employment

Proof to build

Role-specific evidence pack aur ek chhota workflow jo target job se relevant ho.

First honest test

Selectively apply karo, interviews practise karo, application quality measure karo — promised offer nahi.

AI service

Proof to build

Do honest samples, narrow offer, written scope aur human-QA checklist.

First honest test

Problem validate karo, chhota paid pilot propose karo, delivery evidence record karo.

Builder

Proof to build

Tested prototype aur clear limits; real pilot ke liye permissions, recovery, cost aur deployment checks separately complete karo.

First honest test

Pehle ek bounded workflow solve karo — phir agents ya bara stack propose karo.

Creator

Proof to build

Content ya product sample jo real audience question se juda ho, transparent claims ke saath.

First honest test

Chhota experiment publish karo, first-party evidence review karo, phir expand karo.

First 90 days · four free courses

Ek realistic sprint — apni raftar se

Days 1–30

Foundation

Free AI Fundamentals aur AI Career Launcher se shuru karo. Checked prompts, resume drafts aur interview practice save karo. Dono courses ke 30 lessons apni pace pe complete karo.

Days 31–60

Build

Free Applied AI Builder ke 18 lessons se local prototype aur eight-check evidence pack banao. Basic coding aur terminal setup ke liye zaroorat ho to extra waqt rakho; live API billing required nahi.

Days 61–90

Create and validate

Free AI Content Creation ke 24 lessons se checked content samples banao. Career Launcher aur Builder ka kaam saath rakh kar ek portfolio ya audience test plan karo; results aur limits honestly record karo.

Pace ko kaam, parhai, bijli aur internet ke hisaab se adjust karo. Completion quality > calendar promise.

Not promised

What this roadmap does not promise

Ye roadmap salary, client, audience, certification equivalence ya fixed completion time promise nahi karta. Ye deta hai: sequenced practice, review criteria, aur portfolio proof. Employers, clients aur markets apne faisle khud karte hain.