AI+ Quantum™

  • Harness Quantum Power with AI

$174.50

Intermediate
AI+ Quantum.
40h
1 Year.
$174.50
Training 5 or more people?

Harness Quantum Power with AI.

  • 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
  • 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.

Course Curriculum

Module 1: Overview of Artificial Intelligence (AI) and Quantum Computing
1.1 Artificial Intelligence Refresher 1.2 Quantum Computing Refresher

Module 2: Quantum Computing Gates, Circuits, and Algorithms
2.1 Quantum Gates and their Representation 2.2 Multi Qubit Systems and Multi Qubit Gates

Module 3: Quantum Algorithms for AI
3.1 Core Quantum Algorithms 3.2 QFT and Variational Quantum Algorithms

Module 4: Quantum Machine Learning
4.1 Algorithms for Regression and Classification 4.2 Algorithms for Dimensionality and Clustering

Module 5: Quantum Deep Learning
5.1 Algorithms for Neural Networks – Part I 5.2 Algorithms for Neural Networks – Part II

Module 6: Ethical Considerations
6.1 Ethics for Artificial Intelligence 6.2 Ethics for Quantum Computing

Module 7: Trends and Outlook
7.1 Current Trends and Tools 7.2 Future Outlook and Investment

Module 8: Use Cases & Case Studies
8.1 Quantum Use Cases 8.2 QML Case Studies

Module 9: Workshop
9.1 Project – I: QSVM for Iris Dataset 9.2 Project – II: VQC/QNN on Iris Dataset 9.3 Bonus: IBM Quantum Computers

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

Learning Objectives

  • This comprehensive course provides a deep dive into the intersection of Artificial Intelligence (AI) and Quantum Computing, exploring fundamental concepts, advanced techniques, and ethical considerations.
  • Participants will gain insights into Quantum Computing Gates, Circuits, and Algorithms, with a particularfocus on their application in AI domains.
  • Through discussions on Quantum Machine Learning and Quantum Deep Learning, attendees will discover how these technologies are reshaping traditional AImethodologies.
  • Ethical implications are carefully examined throughout, alongside an exploration of current trends and future outlooks.
  • Real-world case studies offer practical insights, while a hands-on workshop solidifies understanding, making this course essential for professionals and enthusiasts a like seeking to navigate and contribute to the transformative landscape of AI and Quantum Computing.

Resource Center

  • Videos, Use cases, Workshops, E-books and tools.

Target Audience

  • Quantum Computing Engineers.
  • Physics Engineers.
  • AI Specialists.
  • IT Specialists & System Integrators.
  • Students & New Graduates.

Job Roles & Industry Outlook 

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

Exam Information

Duration
90 minutes
Passing Score
70% (35/50)
Format
50 multiple-choice/multiple-response questions
Delivery Method
Online via proctored exam platform (flexible scheduling)
Fees include
One year of access to course content, including continuous updates. Certification exam. One exam re-take.

Exam Blueprint:

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%

Explore our Schedules

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Certificate of Completion

AI+ Quantum.

$174.50

Intermediate
AI+ Quantum.
40h
1 Year.
$174.50
Training 5 or more people?

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