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AI+ Quantum™

# AT-410

Harness the Power of Quantum Computing with Artificial Intelligence
  • Certification Duration: 40 Hours
The AI+ Quantum™ certification bridges the gap between Artificial Intelligence and Quantum Computing, offering an in-depth exploration of cutting-edge technologies. The course delves into Quantum Computing Gates, Circuits, and Algorithms, with a focus on real-world AI applications. Participants will explore advanced topics like Quantum Machine Learning, Quantum Deep Learning, and their transformative impact on traditional AI methodologies. This program critically examines ethical implications, explores industry trends, and provides hands-on workshops to solidify knowledge. Real-world case studies offer practical insights, making this certification essential for professionals and enthusiasts aiming to lead in the evolving field of AI and Quantum Computing.

$495.00

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What’s included?
One-year subscription (with all updates):

  • High-Quality Videos and E-Book
  • AI Mentor for Personalized Guidance
  • Quizzes, Assessments, and Course Resources
  • Proctored Exam with One Free Retake
  • Exam Study Guide
  • Hands-on labs

Prerequisites

  • Foundational Knowledge of AI: A basic understanding of AI concepts is helpful, but no technical skills are required.
  • Willingness to Explore Quantum Approaches: An open mindset to tackle unconventional problem-solving in AI and Quantum Computing.
  • Engagement with Ethical Considerations: A readiness to critically analyze ethical dilemmas in the application of AI in quantum systems.

Exam Details

  • Modules (9)
  • Examination (1)
  • 50 MCQs, 90 Minutes
  • Passing Score (70% (35/50) )

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%

Tools You'll Master

IBM Qiskit
D-Wave Leap
Google TensorFlow Quantum (TFQ)
Amazon Braket

What Will You Learn?

Quantum Algorithm Development
Learn to design and implement quantum algorithms optimized for AI applications, including how quantum gates operate within these frameworks.
Designing Quantum Circuits
Gain practical skills in constructing and optimizing quantum circuits to solve complex computational challenges.
Quantum Machine Learning and Deep Learning
Discover how quantum principles can enhance machine learning and deep learning models for superior performance.
Optimisation of Quantum-AI Models
Master techniques to fine-tune quantum-AI systems, improving efficiency 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

Industry Opportunities after Certification Completion

Median Salaries
$80000
With AI+ Quantum™
$107500
% Difference
34.38
Begin your Journey
AI Quantum Systems Analyst

Analyze and optimize quantum-AI systems, ensuring peak performance and identifying innovation opportunities in quantum-enhanced AI applications.

Quantum Computing AI Expert

Drive innovation by integrating quantum mechanics into AI to create advanced solutions across industries.

AI Quantum Technology Innovator

Lead groundbreaking developments at the intersection of AI and quantum technologies.

Quantum-AI Integration Specialist

Ensure seamless interoperability between AI and quantum systems, maximizing their combined potential.

Trusted Reviews by Our Learners

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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.
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