PREDICTIVE ENGINEERING

MACHINE LEARNING

Master the mathematics of prediction. From Supervised Learning to Deep Reinforcement Intelligence, build systems that evolve and solve global-scale problems.

The ML Roadmap (2-Year Degree)

Mastery Level Algorithms & Frameworks
Foundations Linear Algebra, Calculus for ML, Probability, Scikit-Learn Essentials
Supervised Regression, Decision Trees, SVMs, Ensemble Methods (XGBoost, LightGBM)
Unsupervised K-Means Clustering, PCA Dimensionality Reduction, Anomaly Detection
Deep Learning TensorFlow & PyTorch, CNNs, Sequence models, Transfer Learning
MLOps & Scale Model Deployment, A/B Testing, Feature Stores, Real-time Inference

Note: This is a deep-tech track. Students are expected to build and deploy 10+ production-grade models before graduation.

Engineer Portal

104 Weeks (2 Years)

PKR 30,000 / Per Month

(Elite Master's Level Curriculum)

Mon - Wed - Fri

6:00 PM - 8:00 PM

Advanced ML Architect (AMLA)

TRAIN MODEL

Strict Intake: Only 5 Engineers per cohort