AI+ Quantum™- eLearning (exam included)

AI+ Quantum™ - eLearning (exam included)

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.

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.

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

Why This Certification Matters

• High Demand for AI & Quantum Experts: Organizations need professionals skilled in combining AI with quantum technologies to enhance data processing and problem-solving.

• Reducing Risks in AI-Quantum Integration: Proper management is essential to avoid inefficiencies and errors in critical quantum-AI applications.

• Building Robust Quantum Strategies: Certified professionals help design reliable, high-performing quantum solutions aligned with industry standards.

• Boosting Career Advantage: With AI and quantum computing transforming industries, this certification positions professionals for advanced, high-impact roles.

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.

Key Features

• Course and material in English 
• Intermediate level  (Category: AI+ Technical)
• 1 year access to the platform 24/7
• 40 hours of video lessons & multimedia resources

• 50 hours of study time recommendation 
• Quizzes, Assessments, and Course Resources
• Online Proctored Exam with One Free Retake

• Certification of completion included valid for 1 year

• Virtual Hands-on Lab included
• Tools You’ll Master: IBM Qiskit, D-Wave Leap, Google TensorFlow Quantum (TFQ), Amazon Braket

Learning Outcomes

• 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.

Target Audience

• 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.
• Students & New Graduates: Build foundational AI and quantum computing skills to thrive in the fast-evolving quantum technology field.

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

Course Content

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

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.

FAQ

Are there hands-on components in the course?
Yes, the course features a hands-on workshop where participants apply Quantum Computing concepts to AI scenarios, reinforcing learning through practical exercises.

Who should enroll in this AI+ Quantum™ course?
This course is designed for professionals and enthusiasts with basic AI knowledge who want to explore AI and Quantum Computing for innovative problem-solving.

What career opportunities does this course open up?
Graduates can work in rapidly evolving sectors such as healthcare, finance, cybersecurity, and logistics, where AI and Quantum Computing drive innovation.

What are the benefits of learning AI and Quantum Computing together?
Combining AI and Quantum Computing provides interdisciplinary expertise, enabling participants to innovate and solve complex challenges more effectively.

How practical are the skills learned in this course for real-world applications?
Skills are highly practical, with hands-on workshops and real-world case studies preparing participants to implement Quantum Computing algorithms and tackle industry problems.

Recertification Requirements
AI+ Technical courses require recertification every year to keep your certification valid. Notifications will be sent three months before the due date

How Can AVC Help Foster an AI-Ready Culture?
While AI offers significant advantages, many organizations struggle with challenges like talent gaps, complex data environments, and system integration barriers. At AVC, we understand these obstacles and have tailored our certification programs to help businesses overcome them effectively.

Our strategic approach focuses on building a culture that embraces AI adoption and innovation. Through our industry-recognized certifications and in-depth training, we equip your workforce with the skills and knowledge needed to lead your organization confidently into an AI-powered future.

Customized for Impact: Our programs aren't one-size-fits-all. We offer specialized training designed by industry experts to equip your workforce with the specific skills and knowledge needed for critical AI roles.

Practical, Real-World Learning: We prioritize hands-on experience over theory, using real-world projects and case studies. This approach ensures your team gains the confidence and capability to implement AI solutions effectively, driving innovation and measurable business outcomes.