QC101 Quantum Computing and Introduction to Quantum Machine Learning

In this 11 hr course, you will dive into the exciting field of quantum computing and quantum machine learning. Explore the key principles of quantum mechanics and programming to understand concepts such as quantum circuits, quantum algorithms, and their applications in data science and AI. With hands-on practice using Python, Q#, and Qiskit, you'll gain a practical and up-to-date understanding of this advanced field.

What I will be able to do after this course

• Understand the fundamental principles of quantum mechanics as they apply to quantum computing.
• Learn how to code and simulate quantum programs using Python, Q#, and Qiskit tools.
• Build and analyze quantum circuits to solve problems involving cryptography and algorithm efficiency.
• Explore the applications of quantum computing in data science, including quantum machine learning.
• Grasp key topics like quantum cryptography, Shor's algorithm, and multi-qubit system entanglement.

Course Instructor(s)

Kumaresan Ramanathan is an accomplished expert in quantum computing with years of teaching and industry experience. His passion for making complex topics accessible shines through in his teaching. Providing hands-on guidance, he ensures learners gain not only theoretical understanding but also practical skills to use in real-world applications.

Who is it for?

This course is perfect for software developers, data scientists, and AI professionals who aim to expand their skills into quantum computing. Beginners with high school-level math and physics and an interest in advanced computational technologies will find this course approachable and rewarding. If you are curious about integrating quantum technologies into your work or projects, this course will provide you with the necessary knowledge and tools.