AI+ Quantum Practitioner™

Formerly known as AI+ Quantum™

Harness Quantum Power with AI

  • 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

Duur: 5 dag(en)

  • 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.
  • Demand for AI and Quantum Technology Experts:

    Organizations are seeking certified experts who can integrate AI with quantum technologies to optimize data processing and accelerate problem-solving.

  • Mitigating Risks in AI and Quantum Integration:

    Mismanagement of quantum computing systems and AI integration can result in inefficiencies and inaccurate results in critical applications.

  • Developing Reliable Quantum Strategies with AI:

    Certified professionals play a key role in developing quantum strategies that ensure performance, reliability, and alignment with industry standards.

  • Gaining a Competitive Edge:

    As quantum computing and AI continue to revolutionize industries, this certification provides professionals with a competitive edge, preparing them for advanced roles.

Inhoud

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
Tools you will explore
  • IBM Qiskit
  • D-Wave Leap
  • Google TensorFlow Quantum (TFQ)
  • Amazon Braket

Lesmethode

Instructor-led OR Self-paced course + Official exam + Digital badge

Kenmerken

Online proctored exam included, with one free retake.
Exam format:

50 questions, 70% passing, 90 minutes, online proctored exam

Access to all materials and exams is provided for 365 days after delivery.

Voorkennis

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

 3.450,00 excl. BTW