New batch begins 30 September — see fees and dates

ProgrammesCertificateAI Fundamentals

Certificate

AI Fundamentals

Real fluency with everyday AI tools, for any working professional whatever their background — from a first controlled conversation through writing, images, data and cited research, to packaging your own expertise into a reusable AI assistant. Verification habits and safety judgment are built alongside every skill.

3 MonthsDuration
On Campus & OnlineFormat
4 sessions a weekPacing
Urdu & EnglishLanguage
12Weeks
48Sessions
96Contact Hours
1Capstone Project
The Roadmap

What You’ll Learn

A carefully sequenced journey from core engineering foundations to building, deploying, and scaling real AI systems.

The first month is about control. What these tools actually are, how to ask properly, and the habit of checking an answer before trusting it — all built before anything real is produced with them.

What You’ll Learn

Before using anything, understand what it is. Large language models explained in plain language, why the same prompt gives different answers, and a first real comparison on a task from your own work.

Outline

What AI actually is — demystifying LLMs; how they work in plain languageTokens, prediction, and why answers varyHands-on setup — creating accounts with ChatGPT, Claude and GeminiFirst real conversation — comparing the three tools on a task from your own work

Outcomes

The same task from your own work run through all three tools, with notes on which handled it best.

What You’ll Learn

The RCTF formula — Role, Context, Task, Format — applied to your own profession, then deepened with the five layers of context.

Outline

The RCTF formula — Role, Context, Task, FormatRCTF applied to your profession — guided practiceThe five layers of context — identity, world, task, examples, constraintsWorkshop — combining RCTF and context layers into a strong prompt

Outcomes

One polished prompt built from RCTF and the five context layers, added to your personal library.

What You’ll Learn

Treating AI as a conversation rather than a search box: iteration, structured Markdown prompts, and knowing which kind of model a task needs.

Outline

Iteration and follow-ups — treating AI as a conversationStructured Markdown prompting — RCTF format with sectionsReasoning vs. instant models — when to use whichStarting the Personal Prompt Library — organising your best prompts for reuse

Outcomes

A personal prompt library of five or more organised, reusable prompts.

What You’ll Learn

Watching AI confidently make things up, then building the verification habits and privacy rules that make it safe to use at work.

Outline

Hallucinations live demo — watching AI confidently make things upVerification habits — spot-checking numbers and claimsPrivacy and data protection — the hard rule for patient, client and student informationPractical Assessment 1 — live task, verification check, reflection

Outcomes

Milestone 1: Practical Assessment 1 — a live task, a verification check and a written reflection.

Quarter Outcome

A working prompt library and a verification habit you can defend, assessed live in Week 4.

Four weeks of producing real work — documents, images and video, data summaries and cited research — each at a standard you could hand to somebody else.

What You’ll Learn

Professional correspondence with real tone control, structured reports, and translation between Urdu and English — finishing by teaching AI your own writing voice.

Outline

Emails and letters — professional correspondence with tone controlReports and structured documentsCVs and Urdu/English translation controlWorkshop — teaching AI your own writing voice

Outcomes

A style guide for your own writing voice, plus documents drafted in both languages.

What You’ll Learn

A repeatable framework for image prompting, the habit of editing rather than regenerating, and a first short video finished end to end.

Outline

Image prompting framework — subject, action, environment, camera, lightingEditing instead of regenerating, plus Canva AI designIntro to AI video — image-to-video with free toolsSimple edits in CapCut — finish and keep a short video clip

Outcomes

Three finished images and one short edited video clip.

What You’ll Learn

Turning raw data into summaries and simple dashboards — and the discipline of checking every number AI produces before it goes anywhere.

Outline

AI for spreadsheets and budgets — turning raw data into summariesSales and marks sheets — building simple dashboardsVerification discipline for data — why every AI number must be checkedWorkshop — bring your own data, produce a real summary

Outcomes

A real summary built from your own data, with every number spot-checked.

What You’ll Learn

Chatting with your own documents, running research that cites its sources, and using AI as a tutor without being misled by it.

Outline

NotebookLM — chat with your own PDFs and YouTube videosDeep Research with citations — verified, source-checked answersAI as a personal tutor — learning new things safelyPractical Assessment 2 — live task, verification, reflection

Outcomes

Milestone 2: Practical Assessment 2 — a live task, a verification check and a written reflection.

Quarter Outcome

Finished work in four different media, every factual claim and number checked before submission.

From using other people's tools to packaging your own expertise into one, then proving it on a real problem from your own work.

What You’ll Learn

Moving from prompts to a packaged tool: naming it, writing its instructions, giving it your own knowledge, then building and testing it live.

Outline

Why build a custom assistant — from prompts to a packaged toolCustom GPTs and Gemini Gems — naming and instructionsAdding knowledge files — giving your assistant real contextBuild, test and refine your first assistant — live build time

Outcomes

Deliverable: a working Custom GPT or Gemini Gem, with documentation.

What You’ll Learn

Split tracks by profession — educators and business owners, then office staff, students and health workers — plus a first taste of no-code apps and automation.

Outline

Profession track workshop — educators and business ownersProfession track workshop — office staff, students and health workersNo-code taste — live demo building a simple app (Lovable/Bolt)Automation taste — connecting everyday tools with a simple trigger (Zapier/Make)

Outcomes

One real workflow built for your own field, plus one automation designed end to end.

What You’ll Learn

Choosing a real problem from your own work and building the solution, with instructor support and peer feedback at each checkpoint.

Outline

Capstone kickoff — choosing and scoping your real problemBuild day 1 — instructor-supported work timeBuild day 2 — continued build plus peer feedbackPolish and rehearse — preparing to present

Outcomes

A scoped problem statement and a working prototype, reviewed at every checkpoint.

What You’ll Learn

Presenting the capstone to the room, a discussion of AI ethics and responsible use, the final exam, and what comes next.

Outline

Capstone presentations (part 1)Capstone presentations (part 2), plus AI ethics and responsible useFinal exam — practical prompting and safety scenariosGraduation and certification — planning your next course

Outcomes

Capstone: your capstone presented live, plus a final exam on practical prompting and safety scenarios.

Quarter Outcome

A working custom assistant and a presented capstone solving a real problem from your own job, business or studies.

Step-by-Step Path

Follow a proven sequence designed for real results.

Build Real Projects

Apply your skills with hands-on projects every quarter.

Expert Guidance

Learn from industry experts and community support.

Career-Ready

Graduate with production experience and confidence.

AI-Lab System

Powered by our own classroom technology

Every class runs through Aisha Cahn College’s own AI-Lab platform — attendance, assignments, and grading, all automatic.

ai-lab.system — capability statusLive

Schedule

12 weeks · 4 sessions per week · 120 minutes per session · ≈96 contact hours · Theory to practical roughly 30:70

Assessment

4 Tasks per WeekWeekly Verification CheckPractical Assessment 1 (Week 4)Practical Assessment 2 (Week 8)Custom Assistant Deliverable (Week 9)Compulsory Capstone Project (Week 12)Final Exam (Week 12)

Capabilities

8 automated
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Meet Your Instructor

Learn from the Experts

Learn from people who do the work, not just teach it. Gain practical insights, real-world guidance, and knowledge shaped by industry experience.

Mr. Muhammad Musa Kaleem

AI Instructor · Senior Backend & MLOps Engineer

Experience

  • Founding Engineer, AI-Lab System

    Aisha Cahn Foundation · 2025

  • Computer Vision Engineer

    Leia Robots · Jan 2026 – Present

  • Senior Backend Developer

    Gigmasters, Lahore · Feb 2024 – Jun 2025

  • Machine Learning Engineer

    Wind to Energy, Rostock · Apr 2019 – Dec 2023

Education

  • MSCS

    University of Rostock · 2019 – 2023

  • BSCS

    University of Engineering & Technology (UET), Peshawar · 2012 – 2016

Social Links

Ready to start?

Apply for AI Fundamentals

Admissions open

New batch begins 30 September.

Seats in each batch are limited. Message us and we will reply the same working day — or come and see the campus first.

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  • CampusMuslim Hands Educational Complex, Wazirabad, Punjab
  • Office hoursMonday to Saturday, 9:00 AM – 4:00 PM
  • WhatsApp+92 300 1453445
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