Quantum Computing and Quantum Machine Learning - Part 1

This course sets the correct foundation for learning Quantum Computing and Quantum Machine Learning. Machine Learning, Artificial Intelligence, Physicists, Researchers, Cloud Computing Professionals, Python Programmers, DevOps , Security and Data Science Professionals would cherish this course to join the new era of computing. In this course all the pre-requisites would be covered in depth, so that in the forth coming series of quantum computing and machine learning one can grasp the concepts pretty well

This Quantum Computing Series will have multiple parts and will be launched in segments. It will start from the very basics.

No pre-requisites as such is assumed for this course.

Part 1 will lay down the foundations to study quantum computation.

So part 1 will be mostly quantum mechanics and some mathematical foundations to study this course

From part 2 onward the programming will begin inside using Qiskit library of IBM and gradually more important concepts of quantum computing and quantum machine learning will be unearthed.

Multiple parts of quantum computing series will be launched step wise keeping concepts in certain sections and segregated it will be stepwise progression and gradually building the concepts around quantum computing and quantum machine learning.

This course would build solid foundation for Quantum Computing or anyone who would like to pursue further in this field. This course will introduce you to Quantum Computing/ Programming/ Physics/ Qiskit Framework and Quantum Gates

Please ensure you have completed the Part 1 course which sets the foundational tone for this part 2 series