Lead Instructor: Mian Ahmad Basit — Lahore
Machine Learning & Deep Learning in Lahore
From classical ML algorithms to neural networks and PyTorch, built for real deployment.
Lahore's software industry is competitive enough that AI fundamentals aren't a differentiator anymore. This program builds production-grade depth instead.
Lahore
Live cohort location
Live Weekly Classes
Practical, hands-on sessions
Certification
On completion
Freelance-Ready
Practical project focus
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Curriculum Breakdown
Machine Learning & Deep Learning — What You'll Learn in Lahore
Build the mathematical and engineering foundation every AI engineer needs — linear algebra, statistics, and optimization, classical ML algorithms with proper evaluation, and hands-on neural network training in PyTorch, including CNNs and sequence models. Lahore's software industry is competitive enough that AI fundamentals aren't a differentiator anymore. This program builds production-grade depth instead.
Module 01
Mathematical Foundations
- Linear algebra: vectors, matrices, and eigenvalues
- Probability, Bayes theorem, and distributions
- Descriptive and inferential statistics, hypothesis testing
- Calculus: gradients, chain rule, and convexity
- Optimization fundamentals for machine learning
Module 02
Classical Machine Learning
- Regression, KNN, Decision Trees, and Random Forest
- XGBoost, LightGBM, CatBoost, and SVM
- K-Means, hierarchical clustering, and PCA
- Feature engineering, encoding, and normalization
- Cross-validation, grid search, and evaluation metrics
Module 03
Deep Learning & PyTorch
- Neural network mechanics and backpropagation
- Gradient Descent, Adam, and learning rate scheduling
- PyTorch tensors, autograd, and custom nn.Module models
- CNNs, ResNet, and image classification
- RNNs, LSTMs, and sequence-to-sequence models
Outcome
Train, evaluate, and serialize both classical ML models and neural networks in PyTorch.
Program Instructor & Mentor
Learn Machine Learning & Deep Learning With Mian Ahmad Basit
Live mentorship for students in Lahore and across Pakistan — practical training, not just theory.
Every module pairs structured theory with real, hands-on work — so students in Lahore leave with skills they've actually practiced, not just watched.
Mian Ahmad Basit
Lead Instructor & Program Architect
At Job Fair Of Pny Trainings
Live sessions, media appearances, and speaking engagements
Media / Talks / Featured
Watch & Learn
Featured talks, sessions, and insights from conferences, podcasts, and tech programs.
Frequently Asked Questions
Machine Learning & Deep Learning in Lahore — FAQs
Do I need a math background?
The course builds the required math from the ground up — no prior linear algebra or statistics needed.
Is this classical ML, deep learning, or both?
Both — the module covers classical algorithms first, then builds into neural networks and PyTorch.
Will I train real models, not just theory?
Yes — hands-on model training, evaluation, and serialization are core to every topic group.
Is this a standalone course or part of the full program?
This module is drawn from Mian Ahmad Basit's full-length program and can be taken as a focused track or as part of the complete curriculum.
Is this class online or in-person?
Classes run live online, so students anywhere in Pakistan — including this city — can join without relocating.
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