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In May 2023, Red Hat announced new Red Hat OpenShift® AI capabilities. Building and expanding upon the capabilities of Red Hat OpenShift and Red Hat OpenShift Data Science, the AI feature provides a consistent, scalable foundation based on open-source technology for IT operations leaders while bringing a specialised partner ecosystem to data scientists and developers to capture innovation in AI.
For those using these technologies, Red Hat courses and AI courses on the fundamentals can help you learn how to maximise the tools.
Introducing AI to the Open Hybrid Cloud
Red Hat OpenShift AI reduces barriers to the initial training of AI models. OpenShift AI provides a standardised foundation for creating production AI/ML models and running the resulting applications. It can deliver the consistency, ease-of-use and cloud-to-edge deployment options of Red Hat OpenShift.
For platform engineers, this means they can create scalable configurations specific to the needs of their data scientists and developers. OpenShift AI can fine-tune existing models, saving on initial model training costs, increasing time to value and expanding AI usage beyond specialised data scientists.
In addition, Red Hat OpenShift AI provides optional technology partner offerings, including Anaconda, IBM Watson Studio, Intel OpenVINO and AI Analytics Toolkit, NVIDIA AI Enterprise and Starburst. It also includes access to 30 additional AI/ML-certified partners in the OpenShift ecosystem.
Customers with specific regulatory and compliance requirements, like air-gapped and disconnected environments, can prepare data and develop, train and deploy models on-premises using OpenShift AI. Customers can also create models in the public cloud and deploy them on-premises or at the edge with consistent tooling and interfaces.
The proven foundation of OpenShift AI enables customers to scale to train foundation models using OpenShift’s native GPU acceleration features more reliably on-premises or via a cloud service.
Enhancements to Red Hat OpenShift AI include:
Deployment pipelines for AI/ML experiment tracking and automated ML workflows help data scientists and intelligent application developers to iterate on machine learning projects and build automation into application deployment and updates more quickly.
Model serving now has GPU support for inference and custom model serving runtimes that improve inference performance and improved deployment of foundation models.
Model monitoring allows organisations to manage performance and operational metrics from a centralised dashboard.
Maximise new features with Red Hat Training
Red Hat is the leading provider of open-source enterprise IT solutions. Lumify Work is proud to offer clients the ability to attend over 40 official Red Hat training courses in New Zealand through a reseller agreement.
You can maximise your Red Hat technology investment return with lab-intensive, Instructor-Led Training run by Red Hat.
DO180 - Red Hat OpenShift Administration I: Operating a Production Cluster
This course introduces students to building and managing containers for deployment on a Kubernetes cluster. This course helps students build core knowledge and skills in managing containers through hands-on experience with containers, Kubernetes, and the Red Hat OpenShift Container Platform needed for multiple roles, including developers, administrators and site reliability engineers.
DO288 - Red Hat OpenShift Developer II: Building Kubernetes Applications
This course teaches designing, building, and deploying containerised software applications on an OpenShift cluster. Whether you’re writing container-native applications or migrating existing brownfield applications, you’ll learn how to boost developer productivity powered by Red Hat OpenShift Container Platform.
DO288 - Red Hat OpenShift Developer II: Building and Deploying Cloud-native Applications
This course teaches you how to configure, troubleshoot, and manage Red Hat OpenShift Container Platform. This hands-on, lab-based course shows you how to verify the successful installation of a cluster, manage it on a day-to-day basis, and troubleshoot the deployment of containerised applications.
DO281 - Red Hat OpenShift Administration II: Configuring a Production Cluster + Exam
This course teaches you how to configure, troubleshoot, and manage Red Hat OpenShift Container Platform. This hands-on, lab-based course shows you how to verify the successful installation of a cluster, manage it on a day-to-day basis, and troubleshoot the deployment of containerised applications.
DO322 - Red Hat OpenShift Installation Lab
This course teaches essential skills for installing an OpenShift cluster in various environments, from proof of concept to production, and identifying customisations possibly required because of the underlying cloud, virtual or physical infrastructure.
Fundamental AI and Machine Learning Courses
Learning how data scientists and developers gather, analyse and understand data helps platform engineers make the most of Red Hat OpenShift AI and its capabilities.
Lumify Work offers Data Analytics, AI and ML courses so your teams can utilise powerful technology tools to find critical insights within a plethora of information. Foundational courses typically provide a basic understanding of data analytics and business intelligence and a rundown of the tools you can use to create basic reports. Download our eBook to get started with your AI and ML journey.
You can also use one of our ten fully equipped training campuses with 90 classrooms in key business centres around Australia, New Zealand and the Philippines. Full HD video and audio create a virtual classroom experience and access to our pool of expert trainers.
With the Lumify Anywhere platform, you can complete AI training from the comfort of your home, from one of our campuses – or wherever it suits you best.
