AI+ Quantum™ - eLearning (exam included)
448,00 EUR
- 40 hours
The AI+ Quantum Certification offers a comprehensive exploration of the convergence between Artificial Intelligence (AI) and Quantum Computing. Tailored for professionals seeking expertise in this cutting-edge field, the program covers fundamental concepts, advanced techniques, and the ethical aspects of AI-Quantum integration. Learners will study Quantum Computing Gates, Circuits, and Algorithms, emphasizing their applications in AI.
Key Features
Language
Course and material in English
Level
Intermediate level (Category: AI+ Technical)
1 year platform access
and Virtual Hands-on Lab included
40 hours of video lessons & multimedia
50 hours of study time recommendation
Material
Video, PDF Material, audio eBook, Podcasts, quizzes and assessments.
Exam
Online Proctored Exam with One Free Retake
Certificate
Certification of completion included. Valid for 1 year
Tools You’ll Master
IBM Qiskit, D-Wave Leap, Google TensorFlow Quantum (TFQ), Amazon Braket
About the course
Leverage Quantum Computing with AI
- AI & Quantum Fusion: Study Quantum Gates, Circuits, and practical AI applications
- Advanced Concepts: Covers Quantum Deep Learning and innovative AI techniques
- Industry Relevance: Analyze real-world case studies and emerging trends
- Ethical Awareness: Understand and apply quantum AI responsibly and effectively
The certification focuses on Quantum Machine Learning (QML) and Quantum Deep Learning (QDL), illustrating how these technologies are transforming conventional AI approaches. Ethical considerations, emerging trends, real-world case studies, and hands-on workshops are also included. Completing this certification equips participants with both the theoretical knowledge and practical skills needed to lead in the rapidly evolving AI and Quantum Computing landscape.
Why This Certification Matters
Organizations need professionals skilled in combining AI with quantum technologies to enhance data processing and problem-solving.
Learning Outcomes
At the end of this course, you will be able to:
Quantum Algorithm Design
Develop and implement quantum algorithms tailored for AI, understanding the role of quantum gates
Quantum Circuit Construction
Build and optimize quantum circuits to tackle complex computational problems.
Quantum Machine & Deep Learning
Explore how quantum principles can enhance ML and DL models for better performance
Quantum-AI Model Optimization
Learn methods to refine quantum-AI systems, boosting efficiency and minimizing computational demands
Course timeline
Overview of Artificial Intelligence (AI) and Quantum Computing
Lesson 1
- 1.1 Artificial Intelligence Refresher
- 1.2 Quantum Computing Refresher
Quantum Computing Gates, Circuits, and Algorithms
Lesson 2
- 2.1 Quantum Gates and their Representation
- 2.2 Multi Qubit Systems and Multi Qubit Gates
Quantum Algorithms for AI
Lesson 3
- 3.1 Core Quantum Algorithms
- 3.2 QFT and Variational Quantum Algorithms
Quantum Machine Learning
Lesson 4
- 4.1 Algorithms for Regression and Classification
- 4.2 Algorithms for Dimensionality and Clustering
Quantum Deep Learning
Lesson 5
- 5.1 Algorithms for Neural Networks – Part I
- 5.2 Algorithms for Neural Networks – Part II
Ethical Considerations
Lesson 6
- 6.1 Ethics for Artificial Intelligence
- 6.2 Ethics for Quantum Computing
Trends and Outlook
Lesson 7
- 7.1 Current Trends and Tools
- 7.2 Future Outlook and Investment
Use Cases & Case Studies
Lesson 8
- 8.1 Quantum Use Cases
- 8.2 QML Case Studies
Workshop
Lesson 9
- 9.1 Project – I: QSVM for Iris Dataset
- 9.2 Project – II: VQC/QNN on Iris Dataset
- 9.3 Bonus: IBM Quantum Computers
AI Agents for Quantum
Optional Module
- 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
Who Should Enroll in this Program?
Quantum Computing Engineers: Use AI to optimize and enhance quantum system design and performance.
Physics Engineers: Apply AI to improve quantum simulations and computational modeling.
AI Specialists: Combine AI and quantum algorithms to develop intelligent solutions for complex problems.
IT Specialists & System Integrators: Integrate AI-powered quantum systems to streamline infrastructure and tackle large-scale challenges.
Industry Growth
Driving Data-Driven Innovation Across Sectors
- The global quantum computing market is projected to grow at a CAGR of 30.2% from 2023 to 2030.
- Quantum computing is transforming industries like finance, pharmaceuticals, and telecom with faster computations.
- Adoption of quantum-powered AI solutions is increasing, using quantum algorithms for complex optimization.
- Industries such as aerospace and energy benefit from enhanced problem-solving and technological breakthroughs.
- Quantum technology is revolutionizing healthcare, cybersecurity, and machine learning by improving data processing and security.
More Details
Prerequisites
- Basic understanding of AI concepts; no prior technical expertise needed.
- Interest in exploring innovative problem-solving approaches using AI and Quantum technologies.
- Readiness to engage thoughtfully with ethical challenges in AI and quantum applications.
Exam Details
- Duration: 90 minutes
- Passing :70% (35/50)
- Format: 50 multiple-choice/multiple-response questions
- Delivery Method: Online via proctored exam platform (flexible scheduling)
- Language: English
Licensing and accreditation
This course is offered by AVC according to Partner Program Agreement and complies with the License Agreement requirements.
Equity Policy
AVC does not provide accommodations due to a disability or medical condition of any students. Candidates are encouraged to reach out to AVC for guidance and support throughout the accommodation process.
Frequently Asked Questions
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