Red Hat Expands AI Training and Certification Programs to Support Enterprise AI Practical Skills
TECHWORLD ·
✦ Resumen de IA
Red Hat on the 6th announced an expanded rollout of its Red Hat Training and Certification programs to improve companies' ability to use AI.
The core course is "Developing and Deploying AI/ML Applications Based on Red Hat OpenShift AI," which covers training, testing, deployment, and monitoring of predictive AI and generative AI models.
Through the Red Hat Certified Developer in AI, RHLS, and training for employees at domestic small and medium-sized enterprises, Red Hat said it supports companies in building skills across AI model development, deployment, operations, and automation.
Red Hat announced on the 6th that it will expand the rollout of its training and certification program, "Red Hat Training and Certification," to improve enterprise AI usage capabilities. Red Hat said it has broadened its existing training and certification framework to strengthen companies' practical AI capabilities.
The core course in the expanded program is "Developing and Deploying AI/ML Applications Based on Red Hat OpenShift AI." The course covers training, testing, deployment, and monitoring of predictive AI and generative AI models, and it was updated this month to reflect Red Hat OpenShift AI 3.3 features.
The training is organized around the skills needed to operate AI applications in real production environments. Red Hat said it improved practical applicability by reflecting the field experience of certified instructors and use cases for the product.
Red Hat also offers a certification track in parallel. The "Red Hat Certified Developer in AI" is designed to verify skills in building, deploying, and managing machine learning models, as well as operating AI-based applications.
The training was structured to include model development, operations, and automation within the scope of learning. Key content includes an overview of Red Hat AI and Red Hat AI Inference technologies, MLOps and GenAIOps workflows, and operating the full lifecycle of AI applications.
The training is also aimed at data scientists and AI specialists, developers, system administrators, MLOps engineers, OpenShift and Kubernetes platform operators, and related practitioners. It is offered through self-paced learning, live online lectures, and team-based immersive training.
Companies can choose training formats tailored to their organizational and job characteristics. As a result, each company can select an approach suited to its own organization and work style.
One example of its application is RTLZWEI, a German broadcasting and digital media company. RTLZWEI strengthened its OpenShift AI capabilities through Red Hat Training and resolved issues in the process of deploying cluster images for custom model serving runtimes.
Red Hat operates training support programs for employees at domestic small and medium-sized enterprises. The training areas include Linux, automation, containers, and AI practical skills. The training is scheduled to be provided through education partners until the end of the year.
Separately, Red Hat also operates Red Hat Learning Subscription Standard (RHLS), a subscription-based learning service. RHLS is aimed at companies, the general public, and students. It is structured so users can access online training, hands-on practice, instructor Q&A, and certification exams in an integrated way.
Through this kind of practical training and integrated learning services, Red Hat said it aims to help companies gradually secure enterprise AI capabilities in-house, from AI model development to deployment, operations, and automation.
Source: TECHWORLD · Kim Seung-gi
Original: https://www.epnc.co.kr/news/articleView.html?idxno=407828
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Source: TECHWORLD
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