- modules: 9
- Examination: 1
- Examination Time: 50 MCQs, 90 Minutes
- Passing Score: 70%
About Certification
This comprehensive course provides a deep dive into the intersection of Artificial Intelligence (AI) and Quantum Computing, exploring fundamental concepts, advanced techniques, and ethical considerations. Participants will gain insights into Quantum Computing Gates, Circuits, and Algorithms, with a particular focus on their application in AI domains. Through discussions on Quantum Machine Learning and Quantum Deep Learning, attendees will discover how these technologies are reshaping traditional AI methodologies. Ethical implications are carefully examined throughout, alongside an exploration of current trends and future outlooks. Real-world case studies offer practical insights, while a hands-on workshop solidifies understanding, making this course essential for professionals and enthusiasts alike seeking to navigate and contribute to the transformative landscape of AI and Quantum Computing.
Prerequisites
- A foundational knowledge of AI concepts, no technical skills are required.
- Willingness to exploring unconventional approaches to problem-solving within the context of AI and Quantum.
- Openness to engage critically with ethical dilemmas and considerations related to AI technology in quantum practices.
Certification Modules
- 1.1 Artificial Intelligence Refresher
- 1.2 Quantum Computing Refresher
- 2.1 Quantum Gates and their Representation
- 2.2 Multi Qubit Systems and Multi Qubit Gates
- 3.1 Core Quantum Algorithms
- 3.2 QFT and Variational Quantum Algorithms
- 4.1 Algorithms for Regression and Classification
- 4.2 Algorithms for Dimensionality and Clustering
- 5.1 Algorithms for Neural Networks – Part I
- 5.2 Algorithms for Neural Networks – Part II
- 6.1 Ethics for Artificial Intelligence
- 6.2 Ethics for Quantum Computing
- 7.1 Current Trends and Tools
- 7.2 Future Outlook and Investment
- 8.1 Quantum Use Cases
- 8.2 QML Case Studies
- 9.1 Project – I: QSVM for Iris Dataset
- 9.2 Project – II: VQC/QNN on Iris Dataset
- 9.3 Bonus: IBM Quantum Computers
Certification outcome
Upon successful completion of this course, participants will receive a certification attesting to their proficiency in leveraging the synergies between Artificial Intelligence (AI) and Quantum Computing. This certification signifies the holder's mastery of fundamental concepts, advanced techniques, and ethical considerations at the intersection of these cutting-edge fields. Graduates will demonstrate proficiency in implementing Quantum Computing Gates, Circuits, and Algorithms for AI applications, as well as a deep understanding of Quantum Machine Learning and Quantum Deep Learning methodologies. With hands-on experience, critical thinking skills, and ethical awareness, certified individuals will be well-equipped to contribute to transformative advancements in AI and Quantum Computing across various industries.