Global Certificate in Quantum ML Models: Data-Driven

Name: Global Certificate in Quantum ML Models: Data-Driven
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The Global Certificate in Quantum ML Models: Data-Driven course is a comprehensive program designed to equip learners with essential skills in Quantum Machine Learning (QML). This course is critical for professionals in data science, AI, and machine learning, as it provides a competitive edge by introducing the cutting-edge technology of quantum computing to ML models.

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AboutThisCourse

Quantum ML is an emerging field with growing industry demand. By mastering QML concepts, learners can solve complex data problems that are currently unsolvable with classical computers. The course covers the fundamentals of quantum computing, quantum algorithms, and their implementation in ML models, providing a deep understanding of how quantum computing can revolutionize the data science landscape. By completing this course, learners will gain practical experience in quantum programming and QML, preparing them for career advancement in this exciting and rapidly-growing field. They will be able to apply the knowledge and skills gained in this course to real-world projects, making them highly valuable to employers in data science, AI, and machine learning.

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CourseDetails

• Quantum Computing Fundamentals → Understanding the basics of quantum mechanics, qubits, and quantum gates.
• Quantum Algorithms → Learning essential quantum algorithms like Shor's, Grover's, and Quantum Fourier Transform.
• Quantum Machine Learning Basics → Introducing machine learning principles, quantum machine learning models, and their applications.
• Data Preparation for Quantum ML → Preparing and encoding classical data for quantum machine learning models.
• Quantum Kernel Methods → Exploring quantum kernel methods, including their implementation and applications.
• Variational Quantum Circuits → Learning the structure and usage of variational quantum circuits in machine learning.
• Quantum Error Mitigation → Understanding error mitigation techniques in quantum computing and their impact on machine learning.
• Quantum Hardware Landscape → Familiarizing with current quantum hardware platforms and their suitability for quantum machine learning tasks.
• Quantum ML Tools & Libraries → Hands-on experience with popular quantum machine learning tools and libraries.
• Quantum ML Applications → Applying quantum machine learning techniques to real-world use cases and industry challenges.

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BasicUnderstandingSubject
ProficiencyEnglish
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BasicComputerSkills
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FastTrack GBP £140

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ThreeFourHoursPerWeek
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StandardMode GBP £90

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TwoThreeHoursPerWeek
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GLOBAL CERTIFICATE IN QUANTUM ML MODELS: DATA-DRIVEN

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London College of Foreign Trade (LCFT)

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05 May 2025

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