Hands-on labs
Every concept lands in a working environment you can break, inspect, and rebuild.
NEW COURSE · SRE & RELIABILITY
Generate and repair tests with AI agents, gate CI/CD decisions with evidence, and verify runtime behavior without giving up human control.
TRAINING AREAS
Explore the core Swiss Digital Network Academy training areas and find the right course for your team or your own next step.
SRE, SLOs, observability, reliability testing, chaos engineering, and continuous verification.
Applying LLMs and ML to platform engineering, observability, and on-call workflows.
Operating ML systems in production — training, serving, monitoring, and governance.
Modern data platforms, streaming pipelines, and the architecture behind analytics and AI.
PART OF SWISS DIGITAL NETWORK
Public Swiss Digital Network references




Why Swiss Digital Network Academy
Every course is written and taught by senior practitioners who have operated the platforms we teach.
Private cohorts tuned to your stack, timelines, and architectural goals. Delivered on-site or remote across Europe.
Join an open bootcamp alongside peers from other companies. Ideal for senior engineers and architects investing in their own growth.
HOW WE TEACH
Four commitments that shape every course, from half-day workshops to multi-week bootcamps.
Every concept lands in a working environment you can break, inspect, and rebuild.
Taught by engineers operating the systems we teach — not full-time trainers.
Combine modules across areas to match your team's actual roadmap.
Decisions, trade-offs, and architectural reasoning — not tool trivia.
INSTRUCTORS
Our lead instructors run production systems at scale and bring their current architectural work directly into the classroom.
Lead Instructor - SRE & Observability
Associate Professor at HEPIA Geneva for more than 20 years and former EPFL researcher. He leads the Effective SRE training and brings deep practical experience in observability, SLO engineering, software delivery, and reliability practices.
Instructor
MLOps engineer at Swiss Digital Network. He teaches how teams move from experimentation to reproducible deployment, combining versioning, CI/CD, monitoring, and production-ready ML delivery practices.
Instructor
DevOps engineer at Swiss Digital Network. She teaches how teams apply machine learning and AI to observability, anomaly detection, forecasting, and intelligent operational workflows in modern platform environments.
We partner with senior practitioners across Europe to co-develop and deliver courses.