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Machine Learning & AI

Standard Computer College

Duration & Mode

  • 10 weeks bootcamp / 6 weeks intensive.

Entry Requirements

  • Python + stats basics (entry test provided).

Course Structure

  1. Python for ML review.
  2. Supervised learning (linear regression, logistic regression).
  3. Classification (SVM, Decision Trees, Random Forest).
  4. Clustering & dimensionality reduction.
  5. Neural Networks (intro to Deep Learning).
  6. TensorFlow / PyTorch basics.
  7. Project: Predictive analytics / image classification.

Assessments

Assignments + final project with presentation.

Certification

AI & ML Certificate.

Career Outcomes

ML Engineer (entry), AI Research Assistant, Data Scientist.

Machine Learning & AI
AI team Machine learning class

Tutor Profiles — Artificial Intelligence & Machine Learning

Meet the experts guiding you through AI, ML, and real-world problem solving.

Dr. Adeel Rahman

Lead Instructor – Machine Learning & Predictive Analytics

Background:
 PhD in Artificial Intelligence, National University of Sciences & Technology (NUST)
 12+ years’ experience in applied machine learning and data modelling
 Former Research Scientist at a multinational AI lab (specialised in predictive maintenance and anomaly detection)

Expertise:
Supervised learning (regression, classification), feature engineering, model tuning, and deployment

Teaching Focus:
“AI isn’t magic it’s mathematics, logic, and experimentation. My goal is to make students comfortable with the science behind the hype.”

Sana Tariq

Instructor – Deep Learning & Neural Networks

Background:
 MSc Computer Science (Specialisation in Deep Learning), Information Technology University (ITU), Lahore
 6+ years’ hands-on experience in computer vision and natural language processing projects
 Worked with AI startups focusing on image recognition and OCR technologies

Expertise:
TensorFlow, PyTorch, CNNs, RNNs, data preprocessing, GPU acceleration

Teaching Focus:
“I help students go from using models to understanding how they think that’s where true AI mastery begins.”

Irfan Jamil

Instructor – Python for ML & Statistical Foundations

Background:
 BS Data Science, FAST-NUCES
 5 years’ experience in analytics, model evaluation, and statistical programming
 Has trained corporate teams in Python and scikit-learn workflows

Expertise:
Pandas, NumPy, Scikit-learn, regression models, evaluation metrics, data wrangling

Teaching Focus:
“Strong fundamentals turn a coder into a data scientist I focus on building the statistical intuition that powers good models.”

Mahnoor Hussain

Mentor – Capstone Projects & Research Presentation

Background:
 MS Artificial Intelligence, University of Management & Technology (UMT)
 8+ years’ experience mentoring student research projects in predictive analytics and AI ethics
 Advisor to several student-led AI startups

Expertise:
Model evaluation, report writing, project management, research documentation, AI ethics

Teaching Focus:
“A great AI project doesn’t end at code it tells a story, solves a problem, and adds measurable value.”

Guest Lecturers & Industry Sessions

Throughout the course, guest speakers from AI startups and research labs conduct interactive sessions on:

  • Cloud AI tools (Google Colab, AWS Sagemaker, Azure ML)
  • Model deployment in production
  • Ethics, bias, and fairness in AI systems

For Admissions

Visit Us:

Standard Computer College
Garja Morr Bhatti, Lahore

Email Us:

admissions@stdcomputercollege.com

Phone:

+92-322-1942007 / +92-334-6371092