Opleiding: AI+ Quantum Practitioner™

Formerly known as AI+ Quantum™ <br> <br>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

• 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.