This workshop delivers hands-on training in the mathematical and conceptual foundations of quantum computing, connecting linear algebra concepts like complex vector spaces and Dirac notation with real-world quantum systems. Participants will explore key quantum phenomena such as superposition, entanglement, and measurement while developing and simulating quantum circuits. The program also introduces Quantum Algorithms, Quantum Machine Learning (QML), Quantum Neural Networks (QNNs), enabling learners to design simple models for basic learning tasks. By combining theory with practical implementation, this workshop equips researchers, developers, and enthusiasts with the skills needed to effectively work with quantum programming tools and simulators.