Cohort 1

Lecturer

Muhammad Shahbaz Khan

Engineers and engineering leaders who build, deploy, and scale software systems.

Data scientists who apply statistical and ML techniques to extract insights from data.

Applying AI tools and techniques to professional workflows — assign alongside more specific AI topics.

Building, training, and deploying machine learning models — from classical ML to deep learning.

You will learn Data Encodings, Quantum SVMs, Quantum neural networks, Quantum k-means, and hybrid quantum-classical models in Qiskit 2.5.

Tier-2 IBM Qiskit Advocate 

Abdus Salam International Centre for Theoretical Physics

Penn State College of Engineering

Ayass BioScience

Qiskit

LUMS

Dr. Muhammad Faryad

Tier-2 IBM Qiskit Advocate, Qiskit 2.x Certified Developer

Become a Quantum ML Engineer: Build and Run Models on Real IBM Quantum Computers

Dr. Faryad

Quantum Machine Learning Scientist, IBM-certified Qiskit developer

<h3>Why I enrolled</h3>

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<h3>What I’ll apply</h3>
<p class="p2-tall">Excited to try QML on fintech and intrusion detection problems, especially using kernels and QNNs. Looking forward to experimenting with it on real data and seeing what works.</p>
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Certificate

Learn more about this course