Courses AI certifications (AI CERTs®)

AI+ Quantum Practitioner™

  • Price 279 EUR + VAT
  • E-learning Start any time
  • Duration 40 hours of content, self-paced
  • Language English
  • Topic AI Data & Robotics

How you can take it

  • E-learning Start any time · 279 EUR + VAT Order
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Overview

What the course covers

The course, the materials and the exam are in English. The description below is the original AI CERTs® text.

  • 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

Prerequisites

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

Audience

Who is it for

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.

In the price

What the price includes

  • Self-paced online course with the full learning material
  • The official AI CERTs® exam
  • Digital badge after passing the exam

Course content

Syllabus

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

Exam

About the exam

  • 50 Questions
  • 90 min Time limit
  • 70% Pass mark
  • Online proctored exam

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Any of our courses can be delivered as private, in-company training, tailored to your organisation, in English or Hungarian.

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