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AI+ Quantum

AI+ Quantum

$3,599.00

Understanding the interesection of AI and Quantum Computing is vital for professional looking to innovatte abd solve complex challenges in various sectors.

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Description

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.

What You’ll Learn

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

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

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

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

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

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

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

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

  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

  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

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.

Course + Exam Overview

Included: Instructor-led OR Self-paced course + Official exam + Digital badge
Duration: Instructor-Led: 5 days (live or virtual)  Self-Paced: 40 hours of content
Prerequisites: Basic understanding of AI concepts, Problem-solving mindset in AI and Quantum, Openness to ethical considerations in AI and quantum practices.
Exam Format: 50 questions, 70% passing, 90 minutes, online proctored exam
Delivery: Online labs, projects, case studies
Outcome: Industry-recognized credential + hands-on experience

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