Quantum Machine Learning Courses
Bridge the gap between classical machine learning and quantum computing with hands-on courses designed for professionals and students. Gain the skills, tools, and confidence to apply QML in real-world contexts.
What You’ll Learn
Foundations & applications of quantum ML, including:
✓ How quantum computers differ from classical computers
✓ The role of quantum circuits in performing computations
✓ Core building blocks of quantum machine learning
✓ Fundamentals of quantum neural networks and how to optimize them
✓ Advanced QML algorithms for regression, classification, and segmentation
✓ Quantum image processing and segmentation for medical diagnostics
✓ Neural network compression and other state-of-the-art techniques
Why Go Premium?
Unlock deeper, applied learning with our premium courses, including:
★ 20+ hours of learning materials
★ Hands-on Python exercises
★ Visualization & algorithms tools from the ingenii-quantum library
★ Real-world projects to practice and prove your skills
★ Assessments to track your progress
★ Certifications to validate your expertise and showcase on LinkedIn
Choose Your Learning Path
| What’s Included |
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Free Access
$0
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QML Fundamentals Premium
$19.99
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Imaging Analysis Premium
$19.99
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Best Value
All Access Bundle
$29.99
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|---|---|---|---|---|
| Chapter 1: Intro to QML | ||||
| Chapter 2: Understanding Qubits | ||||
| Chapter 3: Quantum Circuits | ||||
| Chapter 4: Quantum Neural Networks (QNN) | ||||
| Chapter 5: Quantum Image Processing | ||||
| Chapter 6: Quantum Image Classification & Segmentation | ||||
| Python Exercises for Included Chapters | Not included | |||
| Assessments for Included Chapters | Not included | |||
| Certification for Included Chapters | Not included | |||
| Start for Free | Get Premium Fundamentals | Get Premium Imaging | Get Bundle |
Free Access has no Python Exercises, assessments, or certification. Premiums include Python Exercises, assessments, and certification. Bundle includes both premium courses and both certifications.
Chapters (1–6)
- Chapter 1: Intro to QML
- Chapter 2: Understanding Qubits
- Chapter 3: Quantum Circuits
- Chapter 4: Quantum Neural Networks (QNN)
- Chapter 5: Quantum Image Processing
- Chapter 6: Quantum Image Classification & Segmentation
Chapters (1–4)
- Chapter 1: Intro to QML
- Chapter 2: Understanding Qubits
- Chapter 3: Quantum Circuits
- Chapter 4: Quantum Neural Networks (QNN)
Chapters (5–6)
- Chapter 5: Quantum Image Processing
- Chapter 6: Quantum Image Classification & Segmentation
Chapters (1–6, Premium)
- Chapter 1: Intro to QML
- Chapter 2: Understanding Qubits
- Chapter 3: Quantum Circuits
- Chapter 4: Quantum Neural Networks (QNN)
- Chapter 5: Quantum Image Processing
- Chapter 6: Quantum Image Classification & Segmentation
Meet Your Instructor
Dr. Laia Domingo, PhD in Quantum Machine Learning
Laia is an experienced scientist and educator with a Masters in Data Science and a PhD in Quantum Machine Learning from ICMAT. Alongside teaching Quantum Machine Learning at the Polytechnic University of Catalonia, Dr. Domingo’s work at Ingenii is focused on accelerating the adoption of quantum machine learning solutions for life science industries.