Course

AI+ Quantum™

Harness Quantum Power with AI

Certificate Code: AT-410

About This Course

  • 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

Certificate 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

Course Modules

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

AI Tools You'll Learn

IBM Qiskit

IBM Qiskit

D-Wave Leap

D-Wave Leap

Google TensorFlow Quantum (TFQ)

Google TensorFlow Quantum (TFQ)

Amazon Braket

Amazon Braket

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Empowering businesses and professionals to achieve growth, efficiency, and lasting results. Specializing in business strategy, project management, Agile coaching, and digital transformation, with extensive experience across IT, telecom, and corporate sectors.

Address Business

London, United Kingdom
University Way, London E16 2RD

Contact With Us

Call United Kingdom : +44 7778 851 215
Call France: +33 1 87 66 66 03

Working Time

Mon - Sat: 8.00am - 18.00pm
Holiday : Closed
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