Level 1 Courses
Start your robotic journey today!
This introductory course provides participants with the opportunity to develop and refine their robotic surgery skills through hands-on practice.
Using state-of-the-art simulators, participants will complete a series of structured exercises designed to build familiarity with the robotic system, improve hand-eye coordination, and enhance precision and efficiency in a controlled environment.
This course helps to provide practice necessary to pass the SERGS Level 1 Assesment of basic skills and also GESEA Robotic exam.
SERGS Level 1 courses
Agenda:
Participants will complete over 3,5 hours of hands-on robotic simulation training.
The program includes scheduled breaks with theoretical sessions aligned with the SERGS Level 1 – Assessment of Basic Skills, as well as coffee and lunch breaks.
Pre-congress course Stockholm, Sweden
SERGS Level 1 Training course on simulators
SERGS level 1 is aimed to surgeons (trainees to established surgeons) planning to embark in robotic surgery in the future (this future could be around the corner)
Level 1 is a simulation-based training of basic robotic skills and knowledge of general robotic surgery consideration.
Date: Tuesday, 26 May
Target Group: Surgeons at the very beginning of their robotic career with little or no previous robotic experience
Course Fee: 600 EUR
SERGS Level 1 Assessment of skills
May 27, 2026 Stockholm, Sweden
Fee: 250 Euro
SERGS Level 1 Assesment of basic skills
SERGS level 1 is aimed to surgeons (trainees to established surgeons) planning to embark in robotic surgery in the future (this future could be around the corner)
Level 1 is a simulation-based assessment of basic robotic skills and knowledge of general robotic surgery consideration.
Intermediate courses
Procedure Training in Robotic Surgery - Level 2
This intensive, hands-on pre-congress course is designed for participants at the beginning of their surgical careers who wish to build a strong foundation in robotic gynaecologic procedures. Under the guidance of highly experienced robotic surgeons, participants will train in small groups, ensuring individualized instruction with two learners per faculty member. The course offers a unique combination of expert-led lectures and immersive wet‑lab practice on both live and simulated tissue.
Date: Monday, 25 May 2026, Huddinge Hospital Karolinska, Hälsovägen 13, Blickagången 20, 141 57 Huddinge, Sweden
Target Group: Early-career surgeons (maximum 8 participants)
Course Fee: 1,000 EUR
Level 2 Intermediate Robotic Surgery Course
The SERGSLevel 2 Intermediate Course at ORSI Academy is a comprehensive two-day training programme designed for surgeons in the early phase of their robotic surgery experience.
Delivered by an international faculty of experts, this course combines theory with intensive hands-on training to accelerate skill development and confidence in robotic gynaecological surgery.
Participants will benefit from a structured learning pathway that includes:
- Simulation-based training
- Dry lab exercises
- Wet lab training with animal model surgery
The programme focuses on:
- Developing core competencies in robotic gynaecology
- Transitioning safely from basic to intermediate robotic skills
- Understanding the fundamentals of building and implementing a robotic surgery programme
Who Should Attend
This course is ideal for surgeons who have completed their initial robotic training and are looking to progress in a controlled, expert-led environment.
Prerequisites
Completion of a recognised basic training programme is required:
- SERGS Level 1, or
- GESEA certification (basic robotic skills)
Train the trainer - online course
The course is designed for SERGS Certified surgeons with previous experience in robotic education.
The SERGS Trainer the trainer course is a e-learning course consisting of 12 video modules each followed by a survey monkey questionnaire.
The course was created by the SERGS Past President Mr Thomas Ind.
Quick Links
SERGS Newsletter
Get notified on SERGS meeting
news and activities right in your mailbox.