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    AnnouncementNew self-paced courses now available — explore our AI Certs-powered certifications and start learning at your own pace.AnnouncementNew self-paced courses now available — explore our AI Certs-powered certifications and start learning at your own pace.AnnouncementNew self-paced courses now available — explore our AI Certs-powered certifications and start learning at your own pace.
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    AI CERTs®
    AT-410

    AI+ Quantum Practitioner™

    Formerly known as AI+ Quantum™ Harness Quantum Power with AI

    ₹21,999

    Delivered by UpskillNexus, an AI CERTs® Authorized Training Partner.

    AI+ Quantum Practitioner™ certification badge

    About this certification

    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

    What's included

    Package

    Instructor-led OR Self-paced course + Official exam + Digital badge

    Duration

    • Instructor-Led: 5 days (live or virtual) 
    • Self-Paced: 40 hours of content

    Exam format

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

    Prerequisites

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

    Course modules

    Module 1: Overview of Artificial Intelligence (AI) and Quantum Computing

    1. 1.1 Artificial Intelligence Refresher
    2. 1.2 Quantum Computing Refresher

    Module 2: Quantum Computing Gates, Circuits, and Algorithms

    1. 2.1 Quantum Gates and their Representation
    2. 2.2 Multi Qubit Systems and Multi Qubit Gates

    Module 3: Quantum Algorithms for AI

    1. 3.1 Core Quantum Algorithms
    2. 3.2 QFT and Variational Quantum Algorithms

    Module 4: Quantum Machine Learning

    1. 4.1 Algorithms for Regression and Classification
    2. 4.2 Algorithms for Dimensionality and Clustering

    Module 5: Quantum Deep Learning

    1. 5.1 Algorithms for Neural Networks – Part I
    2. 5.2 Algorithms for Neural Networks – Part II

    Module 6: Ethical Considerations

    1. 6.1 Ethics for Artificial Intelligence
    2. 6.2 Ethics for Quantum Computing

    Module 7: Trends and Outlook

    1. 7.1 Current Trends and Tools
    2. 7.2 Future Outlook and Investment

    Module 8: Use Cases & Case Studies

    1. 8.1 Quantum Use Cases
    2. 8.2 QML Case Studies

    Module 9: Workshop

    1. 9.1 Project – I: QSVM for Iris Dataset
    2. 9.2 Project – II: VQC/QNN on Iris Dataset
    3. 9.3 Bonus: IBM Quantum Computers

    Optional Module: AI Agents for Quantum

    1. 1. What Are AI Agents
    2. 2. Key Capabilities of AI Agents in Quantum Computing
    3. 3. Applications and Trends for AI Agents in Quantum Computing
    4. 4. How Does an AI Agent Work
    5. 5. Core Characteristics of AI Agents
    6. 6. Types of AI Agents

    Why this certification matters

    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.

    Who should enrol

    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.

    Tools you'll work with

    IBM QiskitIBM Qiskit
    D-Wave LeapD-Wave Leap
    Google TensorFlow Quantum (TFQ)Google TensorFlow Quantum (TFQ)
    Amazon BraketAmazon Braket
    AI Data & Robotics
    AI Technical

    Interested in AI+ Quantum Practitioner™?

    Tell us a little about yourself and our team will get back to you with pricing, schedule and next steps.