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Professional Certification Program
It is an 8-week intensive course designed for advanced undergraduates, graduate students, and professionals interested in the intersection of quantum computing and AI. Through comprehensive tutorials, participants will learn to simulate quantum circuits, develop quantum algorithms, and apply these in AI tasks. The course offers a unique opportunity to explore this cutting-edge technology, preparing participants to contribute to the future of quantum machine learning.
The course aims to provide participants with a comprehensive understanding of quantum computing fundamentals and their applications in machine learning. This course strives to bridge the gap between quantum technologies and artificial intelligence, empowering participants to develop and implement quantum machine learning algorithms that can outperform classical solutions in speed and efficiency.
Module 1: Introduction to Quantum Computing and Machine Learning
Section 1: Foundations of Quantum Computing
Section 2: Basics of Machine Learning
Section 3: Integration of Quantum Computing with Machine Learning
Module 2: Quantum Algorithms for Machine Learning
Section 1: Quantum Algorithms Basics
Section 2: Quantum Machine Learning Algorithms
Module 3: Implementing Quantum ML Models
Section 1: Quantum Programming Languages
Section 2: Simulation and Real Quantum Computers
Section 3: Project Development
This course is suitable for advanced undergraduates and graduate students in Computer Science, IT, and Electronics, as well as professionals in IT services, Consulting, and Analytics services looking to explore new technologies. Basic understanding of quantum computing and machine learning concepts is recommended.
Upon completion of this course, participants will:
Take your research to the next level with NanoSchool.
Get published in a prestigious open-access journal.
Become part of an elite research community.
Connect with global researchers and mentors.
Worth ₹20,000 / $1,000 in academic value.
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PhD in Computational Mechanics from MIT with 15+ years of experience in Industrial AI. Former Lead Data Scientist at Tesla and current advisor to Fortune 500 manufacturing firms.
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