Professional Diploma in Applied Artificial Intelligence

Nine months from working engineer to AI practitioner who ships.

Duration
36 weeks
Format
Hybrid · Evenings and Saturdays
Tuition
Rs 495,000
Intake
January and September cohorts

Overview

The Professional Diploma is built around one conviction: competence in AI is demonstrated by systems, not certificates. Over nine months you move through four studios — foundations, deep learning, language systems and production — each ending in a defended project reviewed by faculty and an industry examiner.

Cohorts are capped at forty. Evening lectures happen on campus in Lahore or live online; Saturday studios are hands-on and in person for hybrid learners. Every participant is paired with a faculty mentor for the capstone, which is scoped with a partner organisation whenever possible.

Graduates join an alumni network that includes engineers at fintechs, telecoms, hospitals and public-sector agencies across Pakistan and the Gulf.

Outcomes

  • Design, train and evaluate supervised, unsupervised and deep learning models with rigorous validation.
  • Build retrieval-augmented and agentic systems on large language models, with evaluation harnesses you can defend.
  • Deploy and monitor models with reproducible pipelines, cost budgets and incident playbooks.
  • Communicate model behaviour, risk and limitations to non-technical decision makers.

Curriculum

  1. 01

    Studio I · Foundations (8 weeks)

    • Python for AI engineers
    • Foundations of machine learning
    • Statistics for practitioners
    • Project: tabular risk model with documented validation
  2. 02

    Studio II · Deep learning (10 weeks)

    • Deep learning in practice
    • Computer vision systems
    • Optimisation and hardware awareness
    • Project: perception pipeline on a partner dataset
  3. 03

    Studio III · Language systems (10 weeks)

    • NLP with transformers
    • LLM engineering and evaluation
    • Retrieval, tools and agents
    • Project: evaluated assistant for a domain corpus
  4. 04

    Studio IV · Production (8 weeks)

    • MLOps and production systems
    • AI safety, alignment and governance
    • Capstone with partner organisation
    • Public defence and portfolio review

Courses in this program

Deep Learning

Deep Learning in Practice

Neural networks, trained with discipline

3 modules · 8 lessons28h1 enrolled
Dr. Ayesha Rehman
Intermediate
Open course
Language

NLP with Transformers

How language models actually work

3 modules · 7 lessons24h
Dr. Bilal Ahmed
Intermediate
Open course
Vision

Computer Vision Systems

From pixels to decisions in the field

2 modules · 5 lessons26h
Dr. Zara Siddiqui
Intermediate
Open course
Engineering

MLOps & Production Systems

Ship models that keep working

2 modules · 5 lessons24h1 enrolled
Dr. Omar Farooq
Advanced
Open course