advanced search
Do you have any questions?
+420 731 175 867 (Mo-Fr: 9A.M.-5P.M.)
EN
0 Basket

AI+ Quantum™

Course code: AT410

Price of the certification exam is included in the price of the course.

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
Akční cena
350 EUR

424 EUR including VAT

Selection of dates
onas
Do you have a question?
+420 731 175 867 edu@edutrainings.cz

Professional
and certified lecturers

Internationally
recognized certifications

Wide range of technical
and soft skills courses

View soft skills courses

Great customer
service

Making courses
exactly to measure your needs

Course dates

Starting date: Upon request

Type: Self-paced

Course duration: 40 hours

Language: en

Price without VAT: 350 EUR Akční cena

Register

Starting
date		 Place
Type Course
duration		 Language Price without VAT
Upon request Self-paced 40 hours en A 350 EUR Register
G Guaranteed course
A Akční cena

Didn't find a suitable date?

Write to us about listing an alternative tailor-made date.

Contact

Course description

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.

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

Target group

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.

Course structure

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

Prerequisites

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

Do you need advice or a tailor-made course?

onas

product support

+420 731 175 867

edu@edutrainings.cz

Certification

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

ComGate payment gateway MasterCard Logo Visa logo