- AI Certifications
AI+ Quantum™
This globally recognized AI+ Quantum™ Certification Course by AI CERTs® equips professionals with essential knowledge of quantum computing and its integration with artificial intelligence, enabling them to confidently begin their journey into next-generation computing, quantum-enhanced algorithms, and future-ready AI innovation.
AI+ Quantum™ Certification
Synergogy, the Authorized Training Partner (ATP) of AI Certs, brings you the AI Foundation Course designed to help learners understand the fundamentals of Artificial Intelligence. This globally recognized AI+ Quantum™ Certification Course by AI CERTs® equips professionals with essential knowledge of quantum computing and its integration with artificial intelligence, enabling them to confidently begin their journey into next-generation computing, quantum-enhanced algorithms, and future-ready AI innovation.
- Format: Self paced online course.
- Level: Includes Quantum Deep Learning and transformative AI methodologies
- Certificate: AI+ Quantum™ Certification by AI Certs®.
- Partner: Delivered by Synergogy as an ATP for AI Certs.
AI+ Quantum™ Certification
This course includes
- Online Self-Paced Learning
- Online Proctored Exam with 1 Free Retake
- Digital Badge
- High-Quality Videos, E-books, and Podcasts
- Access for Tablet & Phone
- Capstone Projects
- Case Studies
- Quizzes & Assessments
- AI Mentor for Personalized Guidance
Why This Certification Matters
Growing Demand for AI–Quantum Expertise
Organizations increasingly seek professionals who can combine artificial intelligence with quantum computing to accelerate data processing, solve complex problems, and unlock new computational capabilities.
Reducing Risk in AI and Quantum Integration
Improper implementation of quantum systems and AI models can lead to inefficiencies and unreliable outcomes. This certification equips professionals with the knowledge to manage integration risks and ensure accuracy in critical applications.
Building Robust Quantum-AI Strategies
Certified professionals contribute to the design of reliable quantum-AI strategies that prioritize performance, scalability, and alignment with emerging industry standards.
Advancing Careers in a Transformative Field
As quantum computing and AI continue to reshape industries, this certification provides a competitive advantage, preparing professionals for advanced roles in next-generation technology and innovation.
Quantum Computing Engineers: Advance quantum system design and optimization by applying AI-driven techniques for enhanced performance, control, and efficiency.
Physics and Computational Engineers: Use artificial intelligence to improve quantum simulations, modeling accuracy, and complex computational experiments.
AI Professionals: Combine AI methodologies with quantum algorithms to develop intelligent solutions for high-complexity and next-generation computing challenges.
IT Specialists and System Integrators: Implement and manage AI-enabled quantum computing systems to optimize infrastructure performance and address large-scale computational problems.
Students and Early-Career Professionals: Build a strong foundation in AI and quantum computing to pursue opportunities in the rapidly evolving quantum technology ecosystem.
- IBM Qiskit
- D-Wave Leap
- Google TensorFlow Quantum (TFQ)
- Amazon Braket
- A foundational knowledge of AI concepts, no technical skills are required.
- Willingness to exploring unconventional approaches to problem-solving within the context of AI and Quantum.
- Openness to engage critically with ethical dilemmas and considerations related to AI technology in quantum practices.
- Overview of Artificial Intelligence (AI) and Quantum Computing – 5%
- Quantum Computing Gates, Circuits, and Algorithms – 11%
- Quantum Algorithms for AI – 12%
- Quantum Machine Learning – 12%
- Quantum Deep Learning – 12%
- Ethical Considerations – 12%
- Trends and Outlook – 12%
- Use Cases & Case Studies – 12%
- Workshop – 12%
What You'll Learn
1: Overview of AI and Quantum Computing
Fundamentals of Artificial Intelligence and Quantum Computing
Evolution and convergence of AI with quantum technologies
Machine Learning and Deep Learning basics in quantum contexts
Ethical considerations and real-world applications
Hands-on introduction using quantum SDKs (e.g., Qiskit)
2: Quantum Computing Gates, Circuits, and Algorithms
Qubits, superposition, and entanglement concepts
Quantum gates (Pauli, Hadamard, CNOT) and circuit design
Measurement techniques and multi-qubit systems
Building and simulating quantum circuits for computation
3: Quantum Algorithms for AI
Deutsch–Jozsa and Bernstein–Vazirani algorithms
Grover’s algorithm for accelerated search
Quantum Fourier Transform (QFT)
Variational and optimization algorithms such as QAOA
4: Quantum Machine Learning (QML)
Foundations of Quantum Machine Learning
Quantum classifiers and kernel methods
Quantum Support Vector Machines (QSVM)
Quantum k-Nearest Neighbors (QkNN)
Applications of QML in classification and clustering
5: Quantum Deep Learning (QDL)
Quantum Neural Networks (QNNs)
Quantum Convolutional Neural Networks (QCNNs)
Quantum Generative Adversarial Networks (QGANs)
Quantum Recurrent Neural Networks (QRNNs)
Quantum Variational Autoencoders (QVAEs)
Module 6: Ethics, Bias, and Responsible Prompting
Identifying and mitigating bias in generated outputs
Ensuring transparency and accuracy
Ethical considerations in AI-generated content
Data privacy and responsible usage
7: Trends and Outlook in AI+ Quantum
Emerging research trends and industry advancements
Quantum computing tools, platforms, and software ecosystems
Investment landscape and economic impact
Future predictions and breakthrough opportunities
8: Use Cases, Case Studies, and Practical Applications
AI+ Quantum use cases in cryptography, optimization, and drug discovery
Real-world QML and QDL case studies
Quantum cloud services and industry partnerships
Practical insights bridging theory and real-world implementation
Bring our
AI+ Foundation™ Course in-house
Interested in getting your team started with the AI Foundation Course, fully customised for your team?
FAQs - AI+ Quantum™
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What is the AI+ Quantum™ Certification?
The AI+ Quantum™ Certification by AI CERTs® is a globally recognized program designed to help professionals understand and apply the convergence of artificial intelligence and quantum computing for next-generation problem-solving and innovation.
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Who should enroll in the AI+ Quantum™ course?
This certification is ideal for quantum computing engineers, AI specialists, physics and computational engineers, IT professionals, system integrators, researchers, and students who want to explore AI-driven quantum technologies and future computing paradigms.
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What skills will I gain from the AI+ Quantum™ Certification?
Learners gain foundational and applied skills in quantum computing principles, quantum algorithms, quantum machine learning (QML), quantum deep learning, AI–quantum integration, and real-world use cases across industries such as optimization, cryptography, and drug discovery.
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Are there any prerequisites for enrolling in the AI+ Quantum™ Certification?
No formal prerequisites are required. However, a basic understanding of mathematics, linear algebra, physics, programming, or AI concepts can help learners better grasp quantum computing and AI integration topics.
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How does the AI+ Quantum™ Certification support career growth?
The certification validates emerging expertise in AI–quantum convergence, positioning professionals for advanced roles in quantum research, AI innovation, high-performance computing, and next-generation technology development as quantum computing adoption accelerates globally.
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