Education · Professional Courses
Short Courses for Industry
Veyra's professional education program offers focused two- to five-day courses for working scientists, engineers, and R&D managers. Courses draw on active research expertise and hands-on access to the Institute's core facilities.
About the program
The professional education program was established in 2017 as a direct extension of Veyra's commercial services arm. The logic is simple: the Institute's researchers are among the best-equipped practitioners in their fields; making that expertise available to industry professionals through structured courses benefits both sides — practitioners gain current, research-grounded training, while the Institute maintains a close view of applied problems worth pursuing.
All courses are delivered on the Calder Mesa Campus, giving participants hands-on access to the same instruments and computational infrastructure used by Veyra's own research groups. Each course includes at least one full facility session — participants work with actual equipment, not simulations or demos.
Courses run once or twice per year; some have waiting lists. Hybrid delivery (remote lectures + on-site lab days) is available for selected courses where indicated. Group bookings of five or more participants from the same organisation receive a 15% discount. Certificates of completion are issued for all courses; continuing professional development (CPD) credits are documented on the certificate where applicable.
Contact training@veyra.example to enquire about bespoke on-site delivery or to discuss a course not listed here.
2025 course catalog
Six courses scheduled for the 2025 academic year. Fees shown are per participant. Group rates applied at checkout.
| Course | Division | Duration | Fee (per person) | Format | Audience | Next run |
|---|---|---|---|---|---|---|
| Applied Machine Learning for Scientists Practical ML workflows for domain scientists: supervised & unsupervised methods, model evaluation, and deployment. | CDS | 4 days | 1,600 cr | On-campus + hybrid | R&D scientists, data engineers, and lab managers with basic Python familiarity | 10–13 Feb 2025 |
| Materials Characterization: Cryo-EM to XRD Hands-on access to Veyra's cryo-TEM, NMR, and XRD instruments. Sample preparation, data collection, and interpretation. | MME | 5 days | 2,200 cr | On-campus only | Chemists, materials scientists, and pharma R&D staff | 7–11 Apr 2025 |
| Integrated Photonics: Design to Test Silicon-nitride and silicon-on-insulator waveguide design, mask layout, and characterisation using the QPS Photonics Test Bench. | QPS | 3 days | 1,400 cr | On-campus only | Photonics engineers, optical systems designers | 19–21 May 2025 |
| Regulatory Data Management for Life Sciences Electronic lab notebooks, 21 CFR Part 11 compliance, audit-trail design, and Veyra's data-management plan template. | CDS / MME | 2 days | 820 cr | On-campus + hybrid | Quality, regulatory affairs, and R&D compliance staff | 2–3 Jun 2025 |
| Climate Data Analysis for Policy Practitioners Working with reanalysis datasets, uncertainty quantification, and communicating climate projections to non-technical audiences. | ECS | 3 days | 1,100 cr | On-campus + hybrid | Government analysts, consultants, and NGO staff with quantitative backgrounds | 15–17 Sep 2025 |
| Computational Neuroscience Methods Neural data preprocessing, spike sorting, dimensionality reduction, and population coding models — with CNS lab access for EEG and multi-electrode data. | CNS | 4 days | 1,800 cr | On-campus only | Neurotechnology engineers, biomedical researchers, and clinical scientists | 13–16 Oct 2025 |
Course highlights
Applied Machine Learning for Scientists
A four-day course for working scientists who need practical ML skills. Day one covers supervised methods — regression, classification, cross-validation. Day two focuses on unsupervised techniques and dimensionality reduction applied to spectroscopic and imaging datasets. Days three and four are devoted to a hands-on project using a real dataset provided by a participating Veyra group, culminating in a short presentation to instructors.
Instructors: Dr. Naila Ravelo (CDS) and a postdoctoral instructor from the Probabilistic Inference Lab.
Materials Characterization: Cryo-EM to XRD
The only multi-instrument characterization course of its kind outside a university setting. Participants rotate through the Advanced Microscopy Centre (cryo-TEM, confocal, AFM) and the Spectroscopy & Analytical Core (600 MHz NMR, HRMS, XRD) in groups of four, working on materials samples relevant to their own research. Sample submission ahead of the course is encouraged.
Instructors: Dr. Yael Brenner (MME) and Veyra facility managers.
Integrated Photonics: Design to Test
A hands-on course for photonics engineers who want to move from simulation to tape-out-ready design. Day one covers waveguide physics and the design software toolkit used in the Integrated Photonics Lab. Day two is devoted to mask-layout best practices. Day three is a characterization session on the PH-12 Photonics Test Bench, with participants measuring loss and dispersion on pre-fabricated test structures.
Instructor: Dr. Sora Veld (QPS).
Climate Data Analysis for Policy Practitioners
Bridging the gap between climate science output and policy-relevant communication. Participants work with ERA5 reanalysis data and regional projections from CMIP6, using Python toolkits taught by the Climate Informatics Group. The final day is a structured communication workshop: each participant produces a briefing note for a defined non-technical audience and receives written feedback from instructors.
Instructor: Prof. Aiko Romero (ECS) and Dr. Selma Underhill.
How to book
Individual booking
Email training@veyra.example with the course name, your name and institutional affiliation, and any dietary or access requirements. You will receive an invoice and joining instructions within five working days.
Group booking
Organisations booking five or more participants for the same course receive a 15% discount, applied at invoice. Send the names, roles, and email addresses of all participants together in one email to expedite processing.
Bespoke delivery
Most courses can be delivered at your site or adapted to your organisation's specific dataset and workflow. Contact training@veyra.example at least eight weeks before your preferred date to discuss scope and pricing.