AI+ Quantum™

Harness Quantum Power with AI

Certificate Code: AT-410
Duration: 40 hours (5 Days)
Course Metrics Prerequisites Curriculum Outcomes Opportunities Salary Comparison FAQs Enroll
10+
Modules
40 hours (5 Days)
Duration
50 MCQs, 90 Minutes
Examination
70% (35/50)
Passing Score

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

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. 

Tools Covered

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

Course Curriculum

10 Modules 40 hours (5 Days)
1

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

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

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 
3

Module 3: Quantum Algorithms for AI

  1. 3.1 Core Quantum Algorithms 
  2. 3.2 QFT and Variational Quantum Algorithms 
4

Module 4: Quantum Machine Learning

  1. 4.1 Algorithms for Regression and Classification 
  2. 4.2 Algorithms for Dimensionality and Clustering 
5

Module 5: Quantum Deep Learning

  1. 5.1 Algorithms for Neural Networks – Part I 
  2. 5.2 Algorithms for Neural Networks – Part II 
6

Module 6: Ethical Considerations

  1. 6.1 Ethics for Artificial Intelligence 
  2. 6.2 Ethics for Quantum Computing 
7

Module 7: Trends and Outlook

  1. 7.1 Current Trends and Tools 
  2. 7.2 Future Outlook and Investment 
8

Module 8: Use Cases & Case Studies

  1. 8.1 Quantum Use Cases 
  2. 8.2 QML Case Studies 
9

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 
10

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

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%

Learning Outcomes

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.

Career Opportunities

Quantum Computing AI Expert

Develop groundbreaking solutions at the intersection of AI and quantum computing.​

Quantum-AI Integration Specialist

Specialize in merging AI and quantum computing technologies to maximize their combined potential.​

AI Quantum Systems Analyst

Analyze and optimize systems that integrate AI and quantum computing for enhanced performance.​

AI Quantum Technology Innovator

Lead innovations by applying quantum mechanics principles to advance AI applications.

Salary Potential

Without AI Skills
$80000
With AI Skills
$107500
34.38% Higher Earning Potential

Frequently Asked Questions

Are there hands-on components in the course?

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.

Who should enroll in this AI+ Quantum™ course?

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.

What career opportunities does this course open up?

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.

What are the benefits of learning about AI and Quantum Computing together?

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.

How practical are the skills learned in this course for real-world applications?

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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What’s Included (One-Year Subscription + All Updates):

  • High-Quality Videos, E-book (PDF & Audio), and Podcasts
  • AI Mentor for Personalized Guidance
  • Quizzes, Assessments, and Course Resources
  • Online Proctored Exam with One Free Retake
  • Comprehensive Exam Study Guide

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  • 1 day of intensive training with live demos
  • Real-time Q&A and peer collaboration
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  • ~6 hours of on-demand video lessons, e-book, and podcasts
  • Learn anywhere, anytime, with modular quizzes to track progress
  • Led by AI Certified Trainers and delivered through Authorized Training Partners
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