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AI+ Quantum (AI+ Quantum)

AI CERTS
5 Days
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$3,995.00
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Course Summary
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Description

Transform your expertise with the AI+ Quantum Training Program. This course provides comprehensive training on integrating AI into quantum computing, exploring advanced techniques, applications, and ethical considerations. Join us today to lead the future of AI and quantum innovations.

AI+ Quantum: Explore AI in quantum computing. Learn quantum gates, circuits, algorithms, and their AI applications. Covers quantum machine learning, deep learning, and practical AI skills for quantum technologies.

 

 

 

Objectives

  • Gain a foundational understanding of Artificial Intelligence and Quantum Computing concepts and techniques.
  • Learn about Quantum Computing Gates, Circuits, and Algorithms, and their applications in AI.
  • Explore Quantum Machine Learning and Quantum Deep Learning, focusing on algorithms for regression, classification, and neural networks.
  • Understand the ethical considerations in AI and Quantum Computing, ensuring responsible implementation and development.
  • Stay updated on current trends, future outlooks, and practical use-cases in AI and Quantum Computing.

Prerequisites

Required

  • 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.

Recommended

  • AI+ Executive
  • AI+ Everyone

Who Should Attend

  • AI Engineer
  • IT Professional

Outline

Overview of Artificial Intelligence (AI) and Quantum Computing

  • Artificial Intelligence Refresher
  • Quantum Computing Refresher

Quantum Computing Gates, Circuits, and Algorithms

  • Quantum Gates and their Representation
  • Multi Qubit Systems and Multi Qubit Gates

Quantum Algorithms for AI

  • Core Quantum Algorithms
  • QFT and Variational Quantum Algorithms

Quantum Machine Learning

  • Algorithms for Regression and Classification
  • Algorithms for Dimensionality and Clustering

Quantum Deep Learning

  • Algorithms for Neural Networks – Part I
  • Algorithms for Neural Networks – Part II

Ethical Considerations

  • Ethics for Artificial Intelligence
  • Ethics for Quantum Computing

Trends and Outlook

  • Current Trends and Tools
  • Future Outlook and Investment

Use Cases & Case Studies

  • Quantum Use Cases
  • QML Case Studies

Workshop

  • Project – I: QSVM for Iris Dataset
  • Project – II: VQC/QNN on Iris Dataset
  • Bonus: IBM Quantum Computers

Optional Module: AI Agents for Quantum

  • What Are AI Agents
  • Key Capabilities of AI Agents in Quantum Computing
  • Applications and Trends for AI Agents in Quantum Computing
  • How Does an AI Agent Work
  • Core Characteristics of AI Agents
  • Types of AI Agents