AI+ Quantum™

Price
Net: 1.985,00 €
VAT.: 377,15 €

Duration
5 days

For companies and job seekers:
this course is 100% fundable!

Location

Course Language
English

Training Solutions
WalkIn^®

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Artificial intelligence and quantum computing are fundamentally changing data-based work. New computing models, higher speeds, and intelligent automation are opening up new ways to solve complex problems more precisely. The focus is on understanding, classifying, and safely using these technologies in a professional context.

Key topics

Fundamentals of AI and quantum computing.
Interaction between classical and quantum-based algorithms.
Data processing, optimization, and simulation.
AI models in a quantum-like environment.
Current fields of application and technological trends.

Prerequisite
Basic understanding of data, technology, or analytical processes.

Target group
Professionals from IT, data analysis, technology, research, and management with an interest in innovative computing approaches and AI-supported solutions.

The combination of AI and quantum computing is considered a key technology for the coming years. In-depth knowledge in this area strengthens professional confidence, innovative ability, and the active role in a data-driven future.

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course content

Overview of AI and quantum computing

AI refresher
Quantum computing refresher

Quantum computer gates, circuits, and algorithms

Quantum gates and their representation
Multi-qubit systems and multi-qubit gates

Quantum algorithms for AI

Core quantum algorithms
QFT and variation quantum algorithms

Quantum machine learning

Algorithms for regression and classification
Algorithms for dimensionality and clustering

Quantum deep learning

Algorithms for neural networks – Part I
Algorithms for neural networks – Part II

Ethical considerations

Ethics for artificial intelligence
Ethics for quantum computing

Trends and outlook

Current trends and tools
Future prospects and investments

Use cases and case studies

Quantum use cases
QML case studies

Workshop

Project – I: QSVM for Iris dataset
Project – II: VQC/QNN on Iris dataset
Bonus: IBM quantum computer

Optional module: AI agents for quantum computers

What are AI agents?
Key capabilities of AI agents in quantum computing
Applications and trends for AI agents in quantum computing
How does an AI agent work?
Key features of AI agents
Types of AI agents

Your training will be 100% funded

Our funding schemes are available exclusively to participants who live or work in Germany. Funding is not available outside Germany.

For career starters, job seekers, career changers, startups, experienced professionals, those looking to advance their careers, specialists, etc.

The QCG program for everyone in the company

Further information

The education voucher for all job seekers

Further information

Frequently asked questions

What exactly does the AI+ Quantum™ course cover?

The course combines artificial intelligence and quantum computing. It covers fundamentals, quantum algorithms, quantum machine learning, quantum deep learning, ethical aspects, trends, and practical workshops.

What practical tools are used in the course?

Typical tools include IBM Qiskit, D-Wave Leap, TensorFlow Quantum, and Amazon Braket for simulations and experiments with real quantum AI scenarios.

Which programming languages are relevant for this course?

The content mostly uses Python-based frameworks such as Qiskit or TensorFlow Quantum, which are used in practical project exercises.

Which professional roles are suitable for AI+ Quantum™ certification?

Possible roles include quantum AI analyst, quantum computing expert, integration specialist, or innovation developer in tech fields with high computing requirements.

What do you learn in quantum machine learning?