AI+ Quantum, Self-Paced Learning V3 (Data and Robotics)

ACERT76-041_rev3.0: AI+ Quantum, Self-Paced Learning V3 (Data and Robotics)

Duration: Self-Paced, 40 hours of content

The AI+ Quantum Certification provides an in-depth journey into the intersection of

Artificial Intelligence (AI) and Quantum Computing. Designed for professionals aiming to excel in this advanced field, the certification covers essential concepts, advanced techniques, and the ethical implications of integrating AI with Quantum Computing. You will dive into Quantum Computing Gates, Circuits, and Algorithms, focusing on their application in AI.

The certification highlights Quantum Machine Learning (QML) and Quantum Deep Learning (QDL), showing how these technologies are transforming traditional AI methods. Additionally, you'll understand ethical considerations and current trends, supported by real-world case studies and a hands-on workshop. By completing this certification, you will acquire the theoretical knowledge and practical skills necessary to lead in the evolving domain of AI and Quantum Computing.

You will explore the following topics in the certification to gain a deeper understanding of how AI is integrated with quantum computing.

  • Overview of AI and Quantum Computing
  • Quantum Computing Gates, Circuits, and Algorithms
  • Quantum Algorithms for AI
  • Quantum Machine Learning
  • Quantum Deep Learning
  • Ethical Considerations
  • Trends and Outlook
  • Use Cases & Case Studies
  • Workshop

Please use the links below to download additional information about this course:

Executive Summaryai-quantum-executive-summary.pdf

Course Outlineai-quantum-course-outline.pdf

Exam Blueprintai-quantum-blueprint.pdf