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AI+ Quantum™

  • 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
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AI+ Quantum™
Price: $755.00

At a Glance: Course + Exam Overview

Category AI Data & Robotics
Program Name AI+ Quantum™
Duration
  • Instructor-Led: 5 Days
  • Self-Paced: 40 hours of content
Prerequisites
    • 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. 
Exam Format 50 questions, 70% passing, 90 Minutes

What You'll Learn

  • Quantum Algorithm Development
    Learners will acquire skills in developing quantum algorithms specifically designed for AI applications. This involves creating and implementing quantum circuits and understanding how quantum gates operate within these algorithms.
  • Quantum Machine Learning and Deep Learning
    Learners will learn how to apply quantum computing principles to machine learning and deep learning models. This includes the development and optimization of quantum-enhanced models that leverage the unique advantages of quantum computing.
  • Designing Quantum Circuits
    Learners will gain practical skills in designing and constructing quantum circuits, essential for implementing quantum algorithms and solving complex computational problems.
  • Optimization of Quantum-AI Models
    Learners will learn techniques to optimize quantum-AI models for better performance, including fine-tuning parameters and reducing computational complexity.

Certification 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

Finish the course and get certified

Certificate 1

Industry Opportunities

  • Quantum Computing AI Expert
    Quantum Computing AI Expert
    Develop groundbreaking solutions at the intersection of AI and quantum computing.
  • Quantum-AI Integration Specialist
    Quantum-AI Integration Specialist
    Specialize in merging AI and quantum computing technologies to maximize their combined potential.
  • AI Quantum Systems Analyst
    AI Quantum Systems Analyst
    Analyze and optimize systems that integrate AI and quantum computing for enhanced performance.
  • AI Quantum Technology Innovator
    AI Quantum Technology Innovator
    Lead innovations by applying quantum mechanics principles to advance AI applications.

Frequently Asked Questions

Yes, the course includes a hands-on workshop to reinforce theoretical concepts. Participants will engage in practical exercises to apply Quantum Computing principles to AI scenarios, enhancing their understanding through real-world applications.

This course is for professionals and enthusiasts with a basic understanding of AI, eager to explore AI and Quantum Computing technologies for innovative problem-solving.

Graduates of this course are equipped to contribute to industries undergoing rapid transformation, including healthcare, finance, cybersecurity, and logistics, where AI and Quantum Computing are driving innovative solutions and advancements.

By understanding both AI and Quantum Computing, participants gain insights into cutting-edge technologies that complement each other. This interdisciplinary knowledge equips them to innovate and solve complex problems more effectively across various industries.

The course emphasizes practical applications through hands-on workshops and real-world case studies. Participants gain experience in implementing Quantum Computing algorithms and techniques, enhancing their readiness to tackle industry challenges.

Prerequisites

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Exam Details

Duration

90 Minutes

Passing Score

70%

Format

50 multiple-choice/multiple-response questions

Exam Blueprint

Overview of Artificial Intelligence (AI) and Quantum Computing 8%
Quantum Computing Gates, Circuits, and Algorithms 10%
Quantum Algorithms for AI 10%
Quantum Machine Learning 11%
Quantum Deep Learning 11%
Ethical Considerations 11%
Trends and Outlook 11%
Use Cases & Case Studies 11%
Workshop 11%
Course Price: $755.00
Instructor-Led (Live Virtual/Classroom)
  • 5 days of intensive training with live demos
  • Real-time Q&A, peer collaboration, and hands-on labs
  • Led by AI Certified Trainers and delivered through Authorized Training Partners
Self-Paced Online
  • ~30 hours of on-demand video lessons, e-book, podcasts, and interactive labs
  • Learn anywhere, anytime, with modular quizzes to track progress
Purchase Self-Paced Course

Core AI Tools Covered

IBM Qiskit

IBM Qiskit

D-Wave Leap

D-Wave Leap

Google TensorFlow Quantum (TFQ)

Google TensorFlow Quantum (TFQ)

Amazon Braket

Amazon Braket