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AI-SEQ program

AI-assisted Software Engineering for Quantum Computing and PQC

Join our 8-10 week online program and explore the future of software engineering, AI, and quantum computing. Learn live from leading experts and gain practical experience in AI-assisted software engineering for quantum computing and post-quantum cryptography.

Online community with QuLearnLabs

Online Community

Peer-to-peer and instructor-led asynchronous mentoring in the community forum

Adaptive Learning with QuLearnLabs

Adaptive Learning

Use Q, our proprietary 2 in1 AI-coding and AI-learning assistant

Live mentoring sessions with QuLearnLabs

Live Mentoring Sessions

Get inspired by guest speakers and ask your questions live 1h/week

Building a global learning community for quantum computing and deep tech

Who is the AI-SEQ program for?

Anyone and everyone! Whether you are a student or working professional, a beginner in programming or a quantum computing expert, AI-SEQ is designed for you. Our online course helps you build skills, advance your career, and expand your knowledge in software engineering for quantum technologies.

What you'll learn

  • Quantum computing fundamentals and mathematical foundations

  • AI-assisted quantum algorithm development using Visual Studio Code and GitHub.

  • Post-quantum cryptographic implementations

  • Industry-standard quantum development tools

  • Real-world quantum applications and use cases

Program stucture

Duration: 8-10 weeks

Prerequisites: Programming language

Start date: January, 2026 

Format: Online with live-mentoring sessions every Monday 19.00 CET

Everything included only for

Why is the program AI-assisted?

Current advancements in AI are transforming the job market and the way companies innovate, develop software, and adapt. At QuLearnLabs, we believe human software engineers should not be replaced by AI or agentic systems, but rather empowered and supported with AI tools– maintaining human oversight, accountability, and control while enhancing productivity and learning.

Here's what our learners say

Petya Angelova review of QuLearnLabs online course

"I enjoyed the excellent organization and support, as well as the fantastic collaboration with others. The assignments pushed me outside of my comfort zone & helped me learn new things about quantum computing"

PETYA ANGELOVA

PhD in Physics and Software Engineer

QuLearnLabs Graduating AI-SEQ Cohort

Say hello to our AI-SEQ #1
cohort

Learn more about our first graduating class from the AI-SEQ program in quantum software engineering

QuLearnLabs AI-SEQ online program is certified by the EIT Deep Tech Talent Initiative and EIT

Our  flagship program AI-SEQ

is certified by the EIT Deep Tech Talent Initiative

 

This certification confirms that our courses meet rigorous quality standards and align with the European Commission’s objective to expand the workforce of people capable of working in deep tech fields and industries. 

Learning modules

1

Software Engineering Essentials

In the first week of AI-SEQ, you’ll get fully onboarded with the tools, meet the team and your peers, and gain a solid introduction to the fundamentals of software engineering.

2

AI-assisted Software Engineering

Introduces Q, an open-source AI coding assistant developed by us. Learners explore how to integrate Q into their development workflow to accelerate coding and speed up the learning process. 

3

Python Programming Refresher

Covers essential Python concepts for quantum development, including variables, functions, control structures, data types, libraries, and scripting with Jupyter Notebooks.

4

Introduction to Quantum Computing

Covers the motivation for quantum computing, limits of classical systems, rise of QPUs, and the broader deep tech ecosystem. You’ll also explore the broader deep tech ecosystem shaping advanced computing.

5

Quantum Information & Qubits

Introduces the core principles of quantum information science, including qubits, superposition, entanglement, Dirac notation, and the mathematics of multi-qubit systems.

6

Quantum Circuits & Algorithms with Qiskit

Focuses on building and simulating quantum circuits using Qiskit. Topics include basic quantum gates, entanglement, and algorithms such as Grover’s search.

7

Post-Quantum Cryptography

Introduces quantum-safe cryptography, focusing on lattice- and hash-based methods, and highlights their role in securing the future of digital systems.

8

Capstone Project

As a learner, you’ll apply your skills in a final project by developing and presenting a working quantum application that showcases your readiness for careers in the deep tech space.

What do you get when you’ve completed the program?

QuLearnLabs Accredited Certificate by the EIT Deep Tech Talent Initiative and EIT

Accredited Certificate

Issued by QuLearnLabs and Quality Checked by the EIT Deep Tech Talent Initiative and EIT

Programming Console

Hands-on Knowledge

Have the ability to construct quantum circuits and algorithms for problem-solving on quantum hardware

QuLearnLabs Community for People

Expanded Network

Expand your professional network by connecting with peers and industry leaders in quantum technologies

QuLearnLabs Alumni Network

Alumni Community

Gain access to a thriving Alumni community where job opportunities, hackathons and events are shared frequently

Apply to
AI-SEQ #3

Learn software engineering for quantum technologies with our online course from industry experts.

Take the next step in your quantum journey today!

Program fee: €149

Deadline for Application: December 20, 2025.
Starting Date: January, 2026

EIT Tech Talent  logo - partner with QuLearnLabs
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QuLearnLabs - AI-SEQ Program is supported by the EIT Deep Tech Talent Initiative of the European Institute of Innovation and Technology (EIT).

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