Lead Instructor: Mian Ahmad Basit — Multan
Machine Learning & Deep Learning in Multan
From classical ML algorithms to neural networks and PyTorch, built for real deployment.
As Multan attracts more remote and outsourced engineering work, production AI skills open doors that generic coding knowledge doesn't.
Multan
Live cohort location
Live Weekly Classes
Practical, hands-on sessions
Certification
On completion
Freelance-Ready
Practical project focus
Before you scroll
Most people who see the curriculum don't finish reading it.
Drop your WhatsApp number and we'll send you the seat count for the next cohort — before it fills up.
Curriculum Breakdown
Machine Learning & Deep Learning — What You'll Learn in Multan
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. As Multan attracts more remote and outsourced engineering work, production AI skills open doors that generic coding knowledge doesn't.
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 Multan and across Pakistan — practical training, not just theory.
Every module pairs structured theory with real, hands-on work — so students in Multan 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 Multan — 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.
Lead Magnet Funnel
Apply for Machine Learning & Deep Learning in Multan
Share a few details and the team will follow up with the curriculum PDF, seat availability and next cohort dates.