AI+ Quantum Practitioner™

  • Ártól 200 000 Ft + Áfa
  • Önálló online Azonnal kezdhető
  • Időtartam 40 óra tananyag, önálló tempóban
  • Nyelv angol
  • Terület AI Data & Robotics

Áttekintés

Miről szól a képzés

A kurzus, a tananyag és a vizsga angol nyelvű. Az alábbi leírás az AI CERTs® eredeti szövege.

  • AI + Quantum Integration: Explore Quantum Gates, Circuits, and AI applications
  • Advanced Learnings: Includes Quantum Deep Learning and transformative AI methodologies
  • Industry-Oriented: Real-world case studies and trend analysis
  • Ethical Focus: Learn implications of quantum AI responsibly and efficiently

Előfeltételek

Basic understanding of AI concepts, Problem-solving mindset in AI and Quantum, Openness to ethical considerations in AI and quantum practices.

Célcsoport

Kinek szól

Quantum Computing Engineers: Enhance quantum system design and performance using AI for optimization and control.

Physics Engineers: Apply AI techniques to improve quantum simulations and computational models.

AI Specialists: Leverage AI and quantum algorithms to create intelligent solutions for complex problems.

IT Specialists & System Integrators: Integrate AI-driven quantum computing systems to optimize infrastructure and solve large-scale challenges.

Students & New Graduates: Gain foundational skills in AI and quantum computing to excel in the rapidly advancing quantum technology field.

Az árban

Mit tartalmaz az ár

  • Önálló tempójú online kurzus, a teljes tananyaggal
  • A hivatalos AI CERTs® vizsga
  • Digitális badge a sikeres vizsga után

Tananyag

Tematika

Module 1: Overview of Artificial Intelligence (AI) and Quantum Computing

1.1 Artificial Intelligence Refresher 1.2 Quantum Computing Refresher

Module 2: Quantum Computing Gates, Circuits, and Algorithms

2.1 Quantum Gates and their Representation 2.2 Multi Qubit Systems and Multi Qubit Gates

Module 3: Quantum Algorithms for AI

3.1 Core Quantum Algorithms 3.2 QFT and Variational Quantum Algorithms

Module 4: Quantum Machine Learning

4.1 Algorithms for Regression and Classification 4.2 Algorithms for Dimensionality and Clustering

Module 5: Quantum Deep Learning

5.1 Algorithms for Neural Networks – Part I 5.2 Algorithms for Neural Networks – Part II

Module 6: Ethical Considerations

6.1 Ethics for Artificial Intelligence 6.2 Ethics for Quantum Computing

Module 7: Trends and Outlook

7.1 Current Trends and Tools 7.2 Future Outlook and Investment

Module 8: Use Cases & Case Studies

8.1 Quantum Use Cases 8.2 QML Case Studies

Module 9: Workshop

9.1 Project – I: QSVM for Iris Dataset 9.2 Project – II: VQC/QNN on Iris Dataset 9.3 Bonus: IBM Quantum Computers

Optional Module: AI Agents for Quantum

1. What Are AI Agents 2. Key Capabilities of AI Agents in Quantum Computing 3. Applications and Trends for AI Agents in Quantum Computing 4. How Does an AI Agent Work 5. Core Characteristics of AI Agents 6. Types of AI Agents

Vizsga

A vizsgáról

  • 50 Kérdés
  • 90 perc Időkeret
  • 70% Ponthatár
  • Online proctored exam

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Ajánlatot kérek
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