Ateleris Academy
Gurobi Professional Training in Decision Intelligence
Register now for the next open-enrollment course in August 2025!
Decision Intelligence helps organizations make more intelligent and data-driven decisions. While statistics and machine learning provide valuable insights from data, they don’t tell us what optimal actions to take. Decision Intelligence bridges this gap by combining optimization and data science to support strategic and operational decision-making.
This practical training module is in collaboration with Gurobi, and provides software development teams, such as programmers and data scientists, with foundational knowledge of optimization methods. Participants will learn about heuristic methods, linear and integer programming, constraint formulation, multi-criteria optimization, and how to handle uncertainty. They will also actively develop optimization models relevant to their daily business challenges, gaining hands-on experience and feeling more engaged in learning.
Simon Felix will teach this course with lectures, practical exercises, and group discussions. If you have questions, do not hesitate to contact Laszlo Etesi, the course coordinator.
Please consult the Ateleris Academy General Terms and Conditions (GTC).
Goals
Upon completion of this course, participants will:
- Understand optimization and Decision Intelligence principles and their practical applications.
- Recognize typical business problems that can be solved through optimization.
- Be familiar with the strengths and limitations of different optimization methods.
- Be able to design, build, and implement optimization models.
- Know how to evaluate and compare Decision Intelligence models.
- Understand how to integrate optimization solutions into business processes and maintain them in production.
Contents
Day 1 (Full Day)
- Introduction to Optimization
- Heuristics and Meta-Heuristics
- Linear Programming (LP)
Day 2 (Full Day)
- Integer Linear Programming (ILP)
- Constraint Modeling
- Optimality and Infeasibility
- Multi-Criteria Optimization
- Hands-on Trainee Projects
Day 3 (Half-Day)
- Scenario Analysis and Uncertainty
- Integration into Business Processes
- Keeping Optimization Models in Production
- Presentation of Participant Projects
Target Group
This course is tailored specifically for:
- Software Developers, Data Scientists, Software Engineers, and IT Professionals from software development teams in large enterprises or software development houses.
- Professionals looking to expand their skill set with practical optimization and knowledge of decision intelligence methods.
Requisites
Participants should:
- Have basic programming skills and experience in at least one programming language, such as Python, Java, or C#, specifically the ability to read and process data programmatically.
- Consider decision-related challenges from their professional environment to explore during the course.
An academic license for Gurobi optimization software or similar will be provided.
Languages
- Course language (spoken instruction): English or German
- Course materials (slides, handouts): English or German
Please verify the course language during sign-up.
Duration
- Total: 2.5 days
- Day 1: Full day
- Day 2: Full day
- Day 3: Half-day, morning
Venue
Please verify the venue during sign-up.
Costs
CHF 1000 per person plus 8.1% VAT, incl. 2x lunch
Important Information
- Open-enrollment courses will only be held if at least 8 participants register. You will be notified two weeks before the start of the course.
- We will organize lunch on days 1 and 2. Please let us know if you have any dietary restrictions.
Enrollments and Inquiries
Corporate Training (on-demand)
Course date, venue, and pricing available upon request. Customizations possible.
Open-Enrollment Course (20./27.08.25, 17.09.25)
This course will be held at TECHNOPARK Aargau in Brugg, AG, on the following dates:
- August 20 and 27, 2025, from 08:30 – 17:00
- September 17, 2025, from 08:30 – 12:00
The course language and materials will be in German.
The course fee is CHF 1000 per person, excluding VAT (8.1%). Lunch will be provided.
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