COURSES

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Four training areas with several specialist courses. Filter by topic or level, or book any course privately for your team.

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AI for DevOps · Professional

ML & AI for DevOps

Use machine learning and AI to improve DevOps workflows through predictive observability, anomaly detection, forecasting, and log intelligence.

Karim Baklouti, Sonia Boussabeh

Course instructors

Next Cohort: Schedule to be announced

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We deliver any course onsite or remote for cohorts of 6–20 engineers, with labs and examples tuned to your stack.

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INSTRUCTORS

Learn from practitioners and experts

Our lead instructors run production systems at scale and bring their current architectural work directly into the classroom.

Imen Bakir

Lead Instructor - Reliability Testing

Reliability-focused engineer working across testing, fault injection, observability, and continuous verification. She leads the Reliability Testing & Continuous Verification course with a strong emphasis on practical quality gates and cloud-native reliability workflows.

Karim Baklouti

Lead Instructor - MLOps

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.

Rouaa Ben Ayed

Lead Instructor - AI for DevOps

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.

Sonia Boussabeh

Lead Instructor - Data Engineering

Data engineering practitioner focused on modern data platforms, distributed processing, and scalable pipeline design. She brings practical experience in warehousing, orchestration, and transformation workflows into the classroom.

Yassin Aziz Rekik

Lead Instructor - SRE & Reliability

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.

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