We offer three distinct programs covering quantum computing fundamentals through advanced AI integration. Each track builds practical skills with hands-on projects and real-world applications. Students progress through structured modules with direct instructor support.
Time Commitment15-18 hours weekly including independent research and capstone project development
PrerequisitesApplied Quantum AI completion or demonstrated expertise, calculus, research experience preferred
How You Progress Through Each Program
Our programs follow a structured three-phase approach that takes you from initial concepts through practical implementation. Each phase builds directly on previous work with increasing complexity and real-world application.
1
Concept Mastery
Learn theoretical foundations through video lectures, interactive simulations, and guided readings. Complete knowledge checks after each module to verify understanding before moving forward.
2
Practical Application
Apply concepts in hands-on coding exercises using real quantum computing platforms. Work with actual quantum hardware through cloud access, building working implementations of algorithms and circuits.
3
Project Integration
Develop a comprehensive project combining multiple concepts from the course. Present your work for instructor feedback and peer review, demonstrating practical problem-solving skills.
45+
Hands-On Labs
Each track includes multiple practical coding labs using IBM Qiskit and other quantum frameworks
6-8
Major Projects
Build portfolio-worthy implementations ranging from basic circuits to complex quantum-classical hybrid systems
24/7
Platform Access
Continuous access to course materials, quantum simulators, and hardware reservations throughout enrollment
What Makes Our Programs Different
We combine rigorous academic content with practical industry application
Real Hardware Access
Students run algorithms on actual quantum processors through partnerships with major quantum computing providers. You'll experience real noise, decoherence, and hardware constraints rather than just simulations.
Direct Instructor Interaction
Weekly live sessions with instructors who actively work in quantum computing research and development. Get answers to specific questions about your code and project approaches.
Progressive Complexity
Curriculum designed to build skills incrementally. Each new concept connects directly to previous material, with regular reviews ensuring knowledge retention before advancing to more complex topics.
Industry-Relevant Projects
Work on problems drawn from current quantum computing applications including optimization, cryptography, and machine learning. Projects mirror challenges faced by quantum developers in research and industry.
Student Experiences
Henrik Backstrom
Applied Quantum AI Track
The hands-on labs made abstract concepts concrete. Running my first variational quantum eigensolver on actual hardware was eye-opening. The difference between simulation and real quantum processors taught me more about noise and error mitigation than any textbook could.
Silje Andersen
Foundations Track Graduate
I came in with minimal physics background and the progressive structure worked perfectly. Each module built logically on the last. The instructors were patient with my questions during live sessions and provided detailed feedback on my project implementations.
Ready to Start Learning?
Enroll in a track that matches your current skill level and career goals
