Learn Quantum Computing, Quantum Machine Learning, AI systems, and hybrid AI-Quantum applications using Python & Qiskit
Sub Category
- Data Science
{inAds}
Objectives
- Understand the foundations of Artificial Intelligence, Machine Learning, and Quantum Computing
- Learn how qubits, superposition, entanglement, and quantum gates work in Quantum Computing
- Build practical projects using Python, Qiskit, Jupyter Notebook, and IBM Quantum simulators
- Create and train simple AI prediction models using Machine Learning workflows
- Explore Quantum Machine Learning (QML) concepts including hybrid AI-Quantum systems and quantum classifiers
- Understand how Quantum Computing may improve optimization, cybersecurity, and intelligent systems
- Learn about Quantum Neural Networks, variational circuits, and quantum feature mapping
Pre Requisites
- No prior experience in Quantum Computing is required — this course is beginner friendly
- Basic computer skills and curiosity about future technologies are enough to get started
- Familiarity with Python is helpful but not mandatory, as setup and basics are explained
- A computer with internet access is recommended for installing tools and running projects
- Students should be willing to explore both Artificial Intelligence and Quantum Computing concepts through hands-on practice
FAQ
- Q. How long do I have access to the course materials?
- A. You can view and review the lecture materials indefinitely, like an on-demand channel.
- Q. Can I take my courses with me wherever I go?
- A. Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!
{inAds}
Coupon Code(s)