Cohort 2

PhD Student

Mehran Rasheed

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 QML Models on Real Datasets in Qiskit

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">I am trying to  use this in optimization problems in fault detection </p>
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Certificate

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