Om kurset

Experience the possibilities of MLOps through proven open culture and practices used by Red Hat to support customer innovation.

MLOps Practices with Red Hat OpenShift AI (AI500) is a five-day immersive class, offering attendees an opportunity to experience and implement a successful MLOps adoption journey. While many AI or data science training programs focus on a particular framework or technology, this course covers how the best Open Source tools fit together in a full MLOps workflow. It blends continuous discovery, continuous training, and continuous delivery in a highly engaging experience simulating real-world machine learning scenarios.

To achieve the learning objectives, participants should include multiple roles from across the organization. Data scientists, machine learning engineers, platform engineers, architects, and product owners will gain experience working beyond their traditional silos.
The daily routine simulates a real-world delivery team, where cross-functional teams learn how collaboration breeds innovation.
Armed with shared experiences and best practices, the team can apply what it has learned to help the organization's culture and mission succeed in the pursuit of new projects and improved processes.

This course introduces real-world MLOps culture principles and modern practices. You will develop a predictive machine learning model using Red Hat OpenShift and Red Hat OpenShift AI, and other industry-standard MLOps software, tools, and techniques.
By the end of the course, you will be equipped to apply MLOps principles and leverage open-source solutions to drive and lead AI transformation initiatives within your organization.

This course is based on Red Hat OpenShift AI, Red Hat OpenShift GitOps and Predictive AI

Dette lærer du

This course takes you an end to end journey of a Predictive Intelligent Application use case, from ideation to inner loop experimentation to production, while bringing different personas together to seamlessly collaborate on a single platform.
After this course participants should be able to:

• Experience MLOps culture, explore MLOps practices, and apply learning to bring a machine learning model into production
• Apply MLOps principles to streamline the development and deployment of machine learning models
• Gain hands-on experience with modern tools and processes, covering the entire lifecycle from inner loop development to outer loop operations
• Enhance skills in collaborative coding styles with pair and mob programming style

Kursinnhold

Kurset dekker blant annet følgende temaer:

What is MLOps?
Inner Loop
Training Pipelines
Outer Loop
Monitoring
Data Versioning
Advanced Deployments
Feature Stores
Security

Forkunnskaper

• Containers, Kubernetes and Red Hat OpenShift Technical Overview (DO080) or Basic understanding of OpenShift/Kubernetes and containers is helpful
• High level understanding of AI or Red Hat AI Foundations is beneficial

Take Red Hat free assessment to gauge whether this offering is the best fit for your skills Red Hat Skills Assessment

Hvem passer kurset for?

This experience demonstrates how individuals across different roles must learn to share, collaborate, and work toward a common goal to achieve positive outcomes and drive innovation.

It is especially valuable for:

• MLOps Platform Users: Data scientists, data engineers, and application developers.
• MLOps Platform Providers: Machine learning engineers, MLOps engineers, and platform engineers.
• MLOps Platform Stakeholders: Architects and IT managers.

The scenario incorporates technical aspects of working with machine learning systems, offering practical insights into how these roles can align their efforts.

You will learn how to continuously deliver value to your customers by accelerating the deployment of new models to market. Our instructors will share experiences and best practices learned from engaging directly with customers during Red Hat services engagements.

Note: Starting January 2026 this course only exists in CR (classroom) if scheduled or Closed course modalities. No RHLS-Course for this course.

Updated Jan2026

Videre kurs

None

Kommende kurs

Kursdatoer

Ingen kommende kursdato er publisert ennå.

Kontakt oss for informasjon om neste gjennomføring.

SG Partner

Hvorfor velge SG Partner?

Vi gjør det enkelt å finne riktig kurs og riktig gjennomføring for deg og din virksomhet.

Offisielle kurs

Kursinnhold fra anerkjente teknologileverandører og fagmiljøer.

Erfarne instruktører

Praktisk og faglig undervisning med fokus på kompetanse du kan bruke.

Fleksibel gjennomføring

Velg mellom tilgjengelige virtuelle, fysiske og bedriftsinterne kurs.

Personlig rådgivning

Vi hjelper deg med å finne kurs og kompetanseløp som passer behovet ditt.

FAQ

Ofte stilte spørsmål

Hvor lenge varer kurset?

Kursets oppgitte varighet er 5.

Kan jeg ta en sertifisering?

Kurset kan være relevant som forberedelse til sertifisering. Se kursbeskrivelsen for informasjon om aktuell sertifisering og eksamen.

Hvilke forkunnskaper trenger jeg?

• Containers, Kubernetes and Red Hat OpenShift Technical Overview (DO080) or Basic understanding of OpenShift/Kubernetes and containers is helpful • High level understanding of AI or Red Hat AI Foundations is beneficialTake Red Hat free assessment to gauge whether this offering is the best fit for your skills Red Hat Skills Assessment

Hvem passer kurset for?

This experience demonstrates how individuals across different roles must learn to share, collaborate, and work toward a common goal to achieve positive outcomes and drive innovation.It is especially valuable for: • MLOps Platform Users: Data scientists, data engineers, and application developers. • MLOps Platform Providers: Machine learning engineers, MLOps engineers, and platform engineers. • MLOps Platform Stakeholders: Architects and IT managers.The scenario incorporates technical aspects of working with machine learning systems, offering practical insights into how these roles can align their efforts.You will learn how to continuously deliver value to your customers by accelerating the deployment of new models to market. Our instructors will share experiences and best practices learned from engaging directly with customers during Red Hat services engagements.Note: Starting January 2026 this course only exists in CR (classroom) if scheduled or Closed course modalities. No RHLS-Course for this course.Updated Jan2026

Kan kurset leveres som bedriftsinternt kurs?

Ja.

Hvor kan kurset leveres?

Kurset kan leveres over hele Norge, blant annet i Oslo, Kristiansand, Stavanger, Bergen, Trondheim og Tromsø.