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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MLOps · Professional

Effective MLOps

Operationalize machine learning models with reproducible workflows, deployment pipelines, testing, monitoring, and responsible AI practices.

Portrait of Karim Baklouti

Karim Baklouti, Sonia Boussabeh

Course instructors

Next Cohort: November 2026 (On-site)

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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.

Portrait of Imen Bakir

Imen Bakir

Instructor

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.

Portrait of Karim Baklouti

Karim Baklouti

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.

Portrait of Rouaa Ben Ayed

Rouaa Ben Ayed

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.

Portrait of Sonia Boussabeh

Sonia Boussabeh

Instructor

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.

Portrait of Yassin Aziz Rekik

Yassin Aziz Rekik

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.

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