About
✅ WHAT’S THE COURSE ABOUT This course aims to provide learners with a comprehensive understanding of quantum machine learning, which combines the principles of quantum computing with machine learning algorithms. By the end of the course, learners will have a solid foundation in quantum machine learning concepts and techniques. ✅ WHO’S THE COURSE FOR This course is designed for students, recent graduates, and individuals with an interest in machine learning and quantum computing. While some background knowledge in machine learning and quantum mechanics is beneficial, the course is structured to be accessible to learners from diverse educational backgrounds. ✅ STRUCTURE OF THE COURSE This course consists of 6 modules, each focusing on a key aspect of quantum machine learning: 1. Introduction Module 2. Quantum Computing Basics 3. Classical Machine Learning 4. Quantum Machine Learning Algorithms 5. Python 6. Qiskit 🎯 BENEFITS OUT OF THIS BOOTCAMP ✔️ Guided Real-time Projects ✔️ Certificate ✔️ Internship Opportunity ✔️ Duration - 4 months