Experiential Quantum Immersion Program

Ingenii’s Experiential Quantum Immersion Program (EQIP) is a 12-week immersive Quantum Machine Learning program designed to help you build practical quantum skills and accelerate your career. 

Applications for the Spring cohort are now open!

Apply Now

Complete registration before February 2nd to get $500 early bird discount!

Program Overview

The Future of Quantum Isn’t Just Theory — It’s Practice. 

EQIP (Experiential Quantum Immersion Program) is a 12-week experiential learning program led by Quantum Machine Learning PhD and Ingenii CSO, Dr. Laia Domingo. 

You’ll learn the fundamentals of QML, apply your knowledge in real-world scenarios, and collaborate with a small, driven cohort of quantum-curious professionals. Whether you're coming from data science, research, or engineering, EQIP is built to help you build confidence and clarity in your quantum journey — through hands-on learning, not just slides. 

Only 20 seats are available for this Fall’s founding cohort. One seat will be fully sponsored by Ingenii — determined by need and merit in the cohort application

What You’ll Get 

  • Hands-on QML experience
    Gain practical experience designing and applying quantum machine learning methods to real problems, beyond theory or toy examples.

  • A portfolio-ready project
    Leave the program with a concrete QML project you can showcase in job applications, interviews, or future research.

  • Exposure to real industry use cases
    Understand how quantum technologies are being explored today across different sectors, and where meaningful opportunities lie.

  • Career and research opportunities
    Connect with researchers, practitioners, and peers working in quantum, opening doors to collaborations, PhD paths, startups, and industry roles.

  • Recognized credentials
    Earn a certificate that validates both your technical and professional growth in quantum machine learning.

  • You receive live Quantum Machine Learning lectures delivered by Ingenii’s Chief Science Officer. The lectures focus on core and advanced QML algorithms, with a strong emphasis on real applications and practical problem formulation.

    Each session is accompanied by exercises and short projects designed to reinforce the material and help you apply what you learn. The content is grounded in recent research and reflects how QML is used in practice today, not just in theory.

  • You take part in an immersive, hands-on session focused on identifying where quantum technologies can deliver the most value. Using Ingenii’s Exchange platform, you work with your peers to brainstorm, validate, and structure real project ideas.

    The lab is designed to help you connect your newly acquired QML skills to concrete applications, assess feasibility and impact, and leave with a clear roadmap for projects you can realistically develop beyond the course.

  • After the QML lectures and the Quantum Innovation Lab, you develop your own project aligned with your area of interest. You work in small groups and turn an initial idea into a concrete quantum machine learning project.

    Throughout the process, you receive close mentorship from Ingenii’s Chief Science Officer, helping you refine your approach, make sound technical decisions, and build a strong foundation to continue growing your career in QML.

  • Participate in quantum hackathons where you tackle concrete problems and compete to design the best solutions. These challenges expose you to a wide range of industry-relevant use cases and current applications of quantum machine learning.

    Hackathons are also a key opportunity to engage with the broader quantum community, test your skills under real constraints, and gain experience working on problems that matter beyond the classroom.

  • At the end of the program, you will showcase your project to a wider audience from the quantum and industry communities. This is an opportunity to present your work, receive feedback, and connect with researchers, practitioners, and potential collaborators interested in real-world quantum applications.

  • At the end of the program, you receive a certificate of completion of the immersion program, highlighting both the technical and professional skills developed throughout the experience.

Tuition & Enrollment 

  • Program Fee: $1499 for the full 12-week experience 

  • Cohort Size: Limited to 20 seats

  • Admissions: Determined on a rolling basis based on blend of the applicants' qualifications and passion for high impact applications of machine learning and quantum computing.

  • Schedule: See below for the weekly schedule. Official meetings times set based on cohort availability to ensure maximum engagement.

Who Is EQIP For?

  • Aspiring quantum professionals 

  • Data scientists, researchers, and engineers exploring quantum 

  • Students and career-switchers seeking a practical, project-based path 

  • Anyone curious about QML and excited to learn by doing 

No PhD required — just curiosity, commitment, and basic Python and machine learning experience. 

*Note for returning Ingenii learners: If you’ve taken our virtual QML courses before, heads up: some core content and exercises in this program will overlap, but EQIP takes it further with hands-on projects, live sessions, mentoring sessions, and real-world applications. 

Ready to Build Your Quantum Future? 

Spots are limited — apply today and take your first step into Quantum Machine Learning. 

What People Are Saying

“EQIP was a fantastic program to learn about Quantum Machine Learning. It was great to be in a live class every week instead of watching pre-recorded lectures. The pre-built Jupyter notebooks for the exercises were extremely helpful to reinforce each concept.”

— Kai Madden 
    Data Strategy Leader

“As a physician-scientist working at the intersection of AI, medical imaging, and quantum computing, EQIP gave me both the technical foundations and the confidence to start designing hybrid classical-quantum approaches for real clinical problems.”

— Antonio Lima Junior
    Neuroradiologist & AI Researcher

“Thank you for providing this awesome opportunity to learn QML and for giving us a deep dive into different algorithms without making it hard to understand. The lectures on advanced QML techniques and the final project were the most valuable part of the program.””

— Raouf Ould Ali
    Competitive Programmer

“EQIP is a valuable and enjoyable learning experience. The lectures are clear, insightful, and right to the point, and the assignments are helpful and excellent. Dr. Laia guided and supported us through the EQIP research project and the final research presentation.”

— Dr. Ziad El Khatib
    Associate Professor, Global Health

“The entire program was an amazing experience and well worth it. It was the first time I understood quantum computing in that way, and the graphs and pictures were really helpful.”

— Advaith Cheruvu
    Honors Computer Science and Physics Student

Explore previous projects!

Quantum Reservoir Computing for Fokker–Planck
PDE Evolution — Md. Zubair & Advaith Cheruvu

Neural Networks Compression using Tensor Networks
— Ziad Elkhatib & Hossam Mohamed

Quantum Route Optimization — Kai Madden & Raouf Ould Ali

QML for Change Detection using Satellite Imagery
— Sandra Topalovic

Quantum GANs for Synthetic Patient Data generation — Ashfaque Chowdhury & Antonio Lima Júnior

Meet Your Instructor

Dr. Laia Domingo, PhD in Quantum Machine Learning

Laia is an experienced scientist and educator with a Masters in Data Science and a PhD in Quantum Machine Learning from ICMAT. Alongside teaching Quantum Machine Learning at the Polytechnic University of Catalonia, Dr. Domingo’s work at Ingenii is focused on accelerating the adoption of quantum machine learning solutions for life science industries.

See profile →