An introduction to developing and deploying AI/ML applications on Red Hat OpenShift AI. Developing and Deploying AI/ML Applications on Red Hat OpenShift AI (AI267) provides students with the fundamental knowledge about using Red Hat OpenShift for developing and deploying AI/ML applications. This course helps students build core skills for using Red Hat OpenShift AI to train, develop and deploy machine learning models through hands-on experience.

Introduction to Event-Driven Ansible (DO274) is designed for system administrators, DevOps engineers, and other technical professionals who want to learn how to create, deploy, and configure Event-Driven Ansible (EDA) to run automation code triggered by events sent by supported event sources such as monitoring systems, webhooks, and Apache Kafka. Write Ansible Rulebooks and use them in Event-Driven Ansible controller to react upon events and remediate or resolve infrastructure issues. Learn about key use cases as examples of how to use Event-Driven Ansible in your IT infrastructure. RHLS Course Includes: 365-Day RHLS Subscription – Full year of access starting from your purchase date. Official Red Hat Training Curriculum – Learn directly from Red Hat’s validated, up-to-date course materials. Hands-On Labs (100 Hours per Course) – Build practical, real-world skills through extensive lab time. One Certification Exam + Free Retake – Includes exam readiness resources to help you prepare with confidence. One Virtual, Instructor-Led Class – Attend a live online class through the Red Hat portal (self-enrollment required using your RHID).

Managing CentOS Migrations and RHEL Upgrades will enable customers to transition successfully from CentOS Linux to Red Hat Enterprise Linux. It also enables them to upgrade from one major version of RHEL to the next. This course provides an overview of the migration process and discusses how to avoid and mitigate risks. Managing CentOS Migrations and RHEL Upgrades will help users to move from CentOS Linux to RHEL, or to upgrade to a newer version of RHEL. RHLS Course Includes: 365-Day RHLS Subscription – Full year of access starting from your purchase date. Official Red Hat Training Curriculum – Learn directly from Red Hat’s validated, up-to-date course materials. Hands-On Labs (100 Hours per Course) – Build practical, real-world skills through extensive lab time. One Certification Exam + Free Retake – Includes exam readiness resources to help you prepare with confidence. One Virtual, Instructor-Led Class – Attend a live online class through the Red Hat portal (self-enrollment required using your RHID).

An introduction to Python programming, and creating and managing AI/ML workloads with Red Hat OpenShift AI. Python is a popular programming language used by system administrators, data scientists, and developers to create applications, perform statistical analysis, and train AI/ML models. This course introduces the Python language and teaches the basics of using Red Hat OpenShift AI for AI/ML workloads. This course helps students build core skills such as describing the Red Hat OpenShift AI architecture, and organizing, executing and testing AI/ML code through hands-on experience. These skills can be applied in all versions of Red Hat OpenShift AI. This course is based on Python 3, RHEL 9.0, Red Hat OpenShift ® 4.14, and Red Hat OpenShift AI 2.8.

An introduction to Python programming, to machine learning concepts, and how to use Red Hat OpenShift AI to train ML models. Python is a popular programming language used by system administrators, data scientists, and developers to create applications, perform statistical analysis, and train AI/ML models. This course introduces the Python language and teaches students basic machine learning concepts, and the different types of machine learning. This course helps students build core skills such as using Red Hat OpenShift AI to train ML models and how to apply best practices when training models through hands-on experience. This course is based on Python 3, RHEL 9.0, Red Hat OpenShift ® 4.14, and Red Hat OpenShift AI 2.8.

Use Red Hat OpenShift to manage OpenStack services and RHEL compute nodes that run VM-based workloads. OpenStack Administration: Control Plane Management (CL170) helps Red Hat OpenStack cluster administrators to manage the health and performance of OpenStack control plane services, to troubleshoot issues by inspecting Kubernetes operators and workloads, and to configure OpenStack control plane services by using Kubernetes custom resources. This course is based on Red Hat OpenShift Services on OpenStack 18. RHLS Course Includes: 365-Day RHLS Subscription – Full year of access starting from your purchase date. Official Red Hat Training Curriculum – Learn directly from Red Hat’s validated, up-to-date course materials. Hands-On Labs (100 Hours per Course) – Build practical, real-world skills through extensive lab time. One Certification Exam + Free Retake – Includes exam readiness resources to help you prepare with confidence. One Virtual, Instructor-Led Class – Attend a live online class through the Red Hat portal (self-enrollment required using your RHID).

Learn how to deploy, access, and perform day-to-day operations to a ROSA cluster. This course teaches IT operations staff how to deploy a public Red Hat OpenShift Service on AWS (ROSA) cluster for experimentation and to provision projects for development teams to work within. IT operations staff will learn how to perform day-to-day operation of ROSA clusters and support application teams which use that cluster. IT operations staff can then apply the same skills and similar procedures to private ROSA clusters of their organizations.

Create and configure production-grade ROSA clusters as part of a larger AWS customer’s footprint. Creating and Configuring Production ROSA Clusters (CS220) teaches how to configure ROSA clusters as part of pre-existing AWS environments and how to integrate ROSA with AWS services commonly used by IT operations teams, such as Amazon CloudWatch.

Integrate applications deployed on ROSA with AWS services in a way that cluster administrators and platform engineers retain control of credentials and roles required by applications to access AWS services instead of exposing those credentials to application developers.

Deploying Production AWS ROSA Clusters: Creation, Configuration, and Application Integration (CS229) teaches how to configure ROSA clusters as part of pre-existing AWS environments and how to integrate ROSA with AWS services commonly used by IT operations teams, such as Amazon CloudWatch. This course also teaches how to integrate applications deployed on ROSA with AWS services in a way that cluster administrators and platform engineers retain control of credentials and roles required by applications to access AWS services instead of exposing those credentials to application developers.