Opleiding: 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
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.
- 1.1 Artificial Intelligence Refresher
- 1.2 Quantum Computing Refresher
- 2.1 Quantum Gates and their Representation
- 2.2 Multi Qubit Systems and Multi Qubit Gates
- 3.1 Core Quantum Algorithms
- 3.2 QFT and Variational Quantum Algorithms
- 4.1 Algorithms for Regression and Classification
- 4.2 Algorithms for Dimensionality and Clustering
- 5.1 Algorithms for Neural Networks – Part I
- 5.2 Algorithms for Neural Networks – Part II
- 6.1 Ethics for Artificial Intelligence
- 6.2 Ethics for Quantum Computing
- 7.1 Current Trends and Tools
- 7.2 Future Outlook and Investment
- 8.1 Quantum Use Cases
- 8.2 QML Case Studies
- 9.1 Project – I: QSVM for Iris Dataset
- 9.2 Project – II: VQC/QNN on Iris Dataset
- 9.3 Bonus: IBM Quantum Computers
- 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
- IBM Qiskit
- D-Wave Leap
- Google TensorFlow Quantum (TFQ)
- Amazon Braket
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.
Instructor-led OR Self-paced course + Official exam + Digital badgeDe OCICT maatwerk-methode houdt in dat op basis van de behoefte van de klant - en indien nodig na een intakegesprek - een individueel opleidingstraject wordt opgesteld. De trainingen worden veelal individueel gevolgd, zodat iedere training een maatwerktraject is. Klassikale trainingen zijn natuurlijk mogelijk, mits ze aansluiten bij de leerbehoeften van de deelnemers / opdrachtgever.
Alle onderdelen van de training kennen een voortdurende wisselwerking tussen theorie en praktijk. De inhoud van de training kan vooraf per cursist worden aangepast en tijdens de cursus worden bijgesteld. De focus ligt op maatwerk: het traject wordt afgestemd op de doelstellingen van de deelnemer(s) en/of opdrachtgever, ongeacht of het individueel of klassikaal wordt aangeboden.
