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AI Data & Robotics

AI+ Quantum™

  • 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

All prices are in NZD, ex GST (15%).

At a Glance: Course + Exam Overview

Category AI Data & Robotics
AI Technical
Program Name: AI+ Quantum™
Exam Format 50 questions, 70% passing, 90 Minutes Duration:
  • Instructor-Led: 5 Days
  • Self-Paced: 40 hours of content

🤝 You’re never on your own — Parasol Concierge Support provides integration guidance and expert VA assistance so you can focus on mastering skills while we handle the setup details.

WHAT You'll Learn

Quantum Algorithm Development

Learners will acquire skills in developing quantum algorithms specifically designed for AI applications. This involves creating and implementing quantum circuits and understanding how quantum gates operate within these algorithms.

Quantum Machine Learning and Deep Learning

Learners will learn how to apply quantum computing principles to machine learning and deep learning models. This includes the development and optimization of quantum-enhanced models that leverage the unique advantages of quantum computing.

Designing Quantum Circuits

Learners will gain practical skills in designing and constructing quantum circuits, essential for implementing quantum algorithms and solving complex computational problems.

Optimization of Quantum-AI Models

Learners will learn techniques to optimize quantum-AI models for better performance, including fine-tuning parameters and reducing computational complexity.

CERTIFICATION Modules

  1. 1.1 Artificial Intelligence Refresher 
  2. 1.2 Quantum Computing Refresher 

  1. 2.1 Quantum Gates and their Representation 
  2. 2.2 Multi Qubit Systems and Multi Qubit Gates 

  1. 3.1 Core Quantum Algorithms 
  2. 3.2 QFT and Variational Quantum Algorithms 

  1. 4.1 Algorithms for Regression and Classification 
  2. 4.2 Algorithms for Dimensionality and Clustering 

  1. 5.1 Algorithms for Neural Networks – Part I 
  2. 5.2 Algorithms for Neural Networks – Part II 

  1. 6.1 Ethics for Artificial Intelligence 
  2. 6.2 Ethics for Quantum Computing 

  1. 7.1 Current Trends and Tools 
  2. 7.2 Future Outlook and Investment 

  1. 8.1 Quantum Use Cases 
  2. 8.2 QML Case Studies 

  1. 9.1 Project – I: QSVM for Iris Dataset 
  2. 9.2 Project – II: VQC/QNN on Iris Dataset 
  3. 9.3 Bonus: IBM Quantum Computers 

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

Industry opportunities

Quantum Computing AI Expert

    Develop groundbreaking solutions at the intersection of AI and quantum computing.

Quantum-AI Integration Specialist

    Specialize in merging AI and quantum computing technologies to maximize their combined potential.

AI Quantum Systems Analyst

    Analyze and optimize systems that integrate AI and quantum computing for enhanced performance.

AI Quantum Technology Innovator

    Lead innovations by applying quantum mechanics principles to advance AI applications.

FREQUENTLY ASKED QUESTIONS

Yes, the course includes a hands-on workshop to reinforce theoretical concepts. Participants will engage in practical exercises to apply Quantum Computing principles to AI scenarios, enhancing their understanding through real-world applications.

This course is for professionals and enthusiasts with a basic understanding of AI, eager to explore AI and Quantum Computing technologies for innovative problem-solving.

Graduates of this course are equipped to contribute to industries undergoing rapid transformation, including healthcare, finance, cybersecurity, and logistics, where AI and Quantum Computing are driving innovative solutions and advancements.

By understanding both AI and Quantum Computing, participants gain insights into cutting-edge technologies that complement each other. This interdisciplinary knowledge equips them to innovate and solve complex problems more effectively across various industries.

The course emphasizes practical applications through hands-on workshops and real-world case studies. Participants gain experience in implementing Quantum Computing algorithms and techniques, enhancing their readiness to tackle industry challenges.

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. 

EXAM DETAILS

Duration

90 Minutes

Passing Score

70%

Format

50 multiple-choice/multiple-response questions

EXAM BLUEPRINT

Overview of Artificial Intelligence (AI) and Quantum Computing 5%
Quantum Computing Gates, Circuits, and Algorithms 11%
Quantum Algorithms for AI 12%
Quantum Machine Learning 12%
Quantum Deep Learning 12%
Ethical Considerations 12%
Trends and Outlook 12%
Use Cases & Case Studies 12%
Workshop 12%

Instructor-Led (Live Virtual/Classroom)

  • 5 days of intensive training with live demos
  • Real-time Q&A, peer collaboration, and hands-on labs
  • Led by AI Certified Trainers and delivered through Authorized Training Partners

Instructor-Led Course

🚀 Learn directly from certified AI trainers in live, interactive sessions. Get real-time guidance, practical exercises, and the accountability of a structured classroom experience. Perfect for professionals who want expert support and a clear path to certification.

✨ At Parasol Virtual, we go beyond certification. Our team supports your learning journey with guidance, resources, and local assistance to ensure your success. You’re not learning alone — you’re part of a global community with local support.

Request Virtual Training

Self-Paced Online

  • ~30 hours of on-demand video lessons, e-book, podcasts, and interactive labs
  • Learn anywhere, anytime, with modular quizzes to track progress

Self-Paced Course

🌐 Study anytime, anywhere with 24/7 access to course materials, practice tests, and resources. Move at your own speed while still working towards globally recognized certification. Designed for busy learners who value flexibility without compromising quality.

✨ At Parasol Virtual, we go beyond certification. Our team supports your learning journey with guidance, resources, and local assistance to ensure your success. You’re not learning alone — you’re part of a global community with local support.

Purchase Self-Paced Course

TECHNOLOGIES USED

IBM Qiskit
IBM Qiskit
D-Wave Leap
D-Wave Leap
Google TensorFlow Quantum (TFQ)
Google TensorFlow Quantum (TFQ)
Amazon Braket
Amazon Braket