New hands-on courses help non-engineers build working AI agents and infrastructure professionals deploy GPU clusters for AI workloads

Mirantis, delivering Kubernetes-native infrastructure for AI, today announced two comprehensive training courses to help organizations develop AI skills across technical and non-technical teams. One course (AI-DEV 100) on agentic workflows teaches participants how to effectively use AI agents without writing code, while the other course (AI-INFRA 100) focuses on deploying and operating GPU infrastructure for AI workloads.

The course on using AI agents is four modules with no prerequisites and includes a hands-on lab to actually build a working agentic workflow. It is aimed at people who know how to chat with an AI model and are in non-engineering roles, with no requirement for writing code.

The other course of four modules covers IT infrastructure for GPU and AI workloads starting with a foundation that builds an understanding of differences between traditional IT infrastructure and the infrastructure for GPU and AI workloads. The other modules are more in-depth for experienced people in technical roles on topics such as cluster provisioning, cluster networking that include hands-on labs.

“AI technology has come on so quickly that there is a lot of learning and collaboration needed,” said Dom Wilde, senior vice president and general manager - enterprise AI cloud business, Mirantis. “That is what we’re addressing with these training courses intended for very different audiences.”

Mirantis has a long history of helping technology professionals build practical skills. For more than a decade, the company has provided instructor-led and self-paced training that combines instruction and hands-on experience in areas including cloud-native operations, containers, Kubernetes, and OpenStack. The new courses extend that to the next generation of AI agent and AI infrastructure technology, helping both business and technical professionals develop the skills required to build, deploy and operate AI systems.

For more information about the new training courses, read the blog post.

About Mirantis

Mirantis delivers the fastest path to scalable, efficient GPU cloud infrastructure for neoclouds and enterprise AI factories, with full-stack AI infrastructure technology that removes complexity and streamlines operations across the AI lifecycle, from Metal-to-Model. Through k0rdent AI and strategic partnerships, Mirantis helps organizations maximize GPU utilization, improve cloud economics, and accelerate time to revenue with production-grade multi-tenancy, intelligent workload orchestration, and automated operations.

Mirantis serves many of the world’s leading enterprises, including Adobe, Ericsson, Inmarsat, MetLife, PayPal, and Societe Generale. Learn more at www.mirantis.com.

Mirantis is a registered trademark of Mirantis, Inc. Metal-to-Model is a trademark of Mirantis, Inc. All other trademarks are the property of their respective owners.

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