01
Practitioner instructors
Every class taught by someone who has shipped AI systems for paying clients.
Applied AI · Flagship · 12 weeks
Stop watching AI. Start building it.
Twelve weeks. Three real projects. A portfolio that opens doors. Taught onsite in Bahria Town, Lahore — and online anywhere.
Duration12 weeksScheduleMon / Wed / Fri, 7:00–9:00 PMLive classes36Seats25 maxFormatOnline + onsiteFeePKR 20,000/month
Cohort 02 starts 1 July 2026.
Why this programme
Most AI courses teach you to watch. We teach you to build.
There is no shortage of Coursera AI certificates in Pakistan. There is a shortage of graduates who can ship a working AI product on Monday morning. That gap is what this programme closes.
02
Three real projects
Code on GitHub, live demos, honest case studies, by week twelve.
03
Capped at 25
Small enough that the instructor knows your name and reviews your code.
Curriculum
What you learn, week by week
Foundations & data
Python (NumPy, pandas, Jupyter), statistics that matter, cleaning and visualising messy real data, SQL, Git and GitHub.
- Python for data: NumPy, pandas, Jupyter, the modern workflow
- Statistics that actually matter — distributions, sampling, A/B
- Clean, explore and visualise messy real-world datasets
- SQL fundamentals and querying production data
- Git, GitHub, branching, and how teams ship code
- Project 1: end-to-end data analysis & dashboard
Machine learning & modelling
Supervised and unsupervised learning, tree-based and gradient-boosting models, neural-network fundamentals with PyTorch, feature engineering.
- Supervised learning: regression, classification, evaluation
- Unsupervised: clustering, dimensionality reduction
- Tree-based models and modern gradient boosting
- Neural network fundamentals with PyTorch
- Feature engineering and the difference it makes
- Project 2: deployed ML model with a real API
Applied generative AI
LLM fundamentals, retrieval-augmented generation (RAG), vector databases and semantic search, agents and tools, evaluating and monitoring AI in production.
- LLM fundamentals: prompting, context, output structure
- Retrieval-augmented generation (RAG) end to end
- Vector databases and semantic search
- Agents, tools, and structured outputs
- Evaluating, monitoring and improving AI in production
- Capstone: ship a real AI product, present to a panel
Class schedule
DaysMon · Wed · Fri
Time7:00–9:00 PM
Total classes36 across 12 weeks
FormatLive, onsite in Lahore or online
RecordingsAvailable for revision
Cohort sizeCapped at 25
Fee & what is included
Monthly feePKR 20,000
Programme duration3 months
RegistrationPKR 10,000 — one-time, refundable within week 1
Upfront savingPKR 50,000 total (save PKR 10,000)
Need-based aidAvailable — mention in application
Hidden costsNone
PKR 60,000Total programme fee · paid monthly
What you will build
Three projects. Each one ships.
By the end of the programme you walk away with a portfolio that employers can actually look at — code on GitHub, deployed apps, honest case studies.
I.
Data product
An end-to-end analysis on real data, with a dashboard.
II.
Deployed ML model
A machine learning model wrapped in an API, deployed to the web, with monitoring.
III.
AI capstone
A complete generative-AI product — RAG, agents or LLM workflow — solving a problem you choose. Presented to a review panel.
Where it can take you
Roles a strong graduate competes for
Data Analyst
PKR 80k – 180k / month
Junior ML Engineer
PKR 120k – 250k / month
AI Application Developer
PKR 100k – 220k / month
Freelance / Upwork
USD 15 – 40 / hour
A few months from now, you've either shipped something real, or you haven't.
The next cohorts are opening for applications. Apply now, or message our team if you have questions.