QuLearnLabs Program – AI-assisted Software Engineering for Quantum Computing [AI-SEQ]

AI-SEQ (AI-assisted Software Engineering for Quantum Computing and Post-Quantum Cryptography) introduces learners to software engineering in quantum computing and post-quantum cryptography (PQC) through a practical software engineering lens. The course blends theory with hands-on learning using Qiskit, the open-source Python library for quantum computing.

A distinctive feature is the integration of Q, an open-source AI coding assistant developed in-house, which supports learners in writing, debugging, and optimizing code directly within their development environment – enhancing both productivity and understanding.

Target audience:

• Software engineers, cybersecurity professionals, and STEM students or graduates
• Early-career technologists entering the deep tech workforce
• Researchers exploring quantum algorithms or cryptography
• Innovation-driven professionals interested in the convergence of AI, quantum, and cybersecurity
• No prior quantum experience is required; basic Python knowledge is sufficient.Learners will develop the ability to:
• Understand core principles of quantum mechanics relevant to computing
• Design and simulate quantum circuits with Qiskit
• Gain foundational knowledge of PQC and quantum-safe cryptographic protocols
• Apply AI-assisted tools (Q) to accelerate coding and learning
• Explore hybrid classical-quantum approaches and real-world deep tech applications
• Deliver a capstone project demonstrating applied quantum or PQC concepts
  
  Course structure (Deep Tech focus):
• Fundamentals of Software Engineering
• AI-enhanced development and learning with Q (GitHub-integrated assistant)
• Foundations of Quantum Computing & Python Programming
• Quantum Circuit Development with Qiskit
• Post-Quantum Cryptography and Secure Coding
• Capstone Project
  Deep tech elements include real-time circuit simulation, quantum-safe cryptographic coding, hybrid algorithm design, and AI-assisted engineering—key to advancing secure digital infrastructure.

Teaching & Assessment:
The course is fully online, combining pre-recorded lectures, GitHub-based labs, and weekly mentoring sessions. Learners are assessed through practical coding tasks, short quizzes, and a final capstone project showcasing quantum or PQC solutions.

Practical details:

Duration: 8-10 weeks (6 – 8 hours/week)
Format: Fully online, self-paced with optional live mentoring
Tools: Visual Studio Code, Qiskit, Python, GitHub, and Q (AI assistant)
Fee: €149 per seat/program
Outcome: Certificate of completion