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OpenShift AI with tailored Red Hat Training and Certification

OpenShift AI with tailored Red Hat Training and Certification

HomeUncategorizedOpenShift AI with tailored Red Hat Training and Certification

MLOps and AI at Scale

Red Hat OpenShift AI provides an integrated MLOps platform designed for building, training, debugging, deploying, and monitoring predictive and baseline models with application intelligence at scale in the cloud. This solution is designed to accelerate AI/ML innovation, increase workflow consistency, and provide clarity in implementing AI across an enterprise

Key Features of Red Hat OpenShift AI

Red Hat OpenShift AI simplifies the development and deployment of AI/ML projects, offering a consistent and accessible workflow. This platform is powered by open-source tools, containers, and DevOps standards, ensuring scalable and reliable AI solutions. The combination of these components is referred to as MLOps

Red Hat's Approach to AI/ML

Red Hat's focus on open tools and platforms is organized into three key pillars:

1. Build: Develop AI/ML applications using Red Hat’s open-source ecosystem. 

 2. Deploy: Leverage containerization and DevOps methodologies to deploy these applications efficiently.

 3. Scale: Ensure scalability for enterprise-grade AI applications

Red Hat OpenShift AI Training: Course AI267

To help professionals better understand and utilize Red Hat OpenShift AI, Red Hat offers the Build and Deploy AI/ML Applications (AI267) course. This course covers:

● Training and deploying AI/ML models.

● Implementing best practices in machine learning and data science.

● Managing and troubleshooting data science pip

Red Hat Certified Expert OpenShift AI Certification

Red Hat is also launching a new certification, the Red Hat Certified Expert OpenShift AI (EX267), which will be available in late 2024. Passing this exam will not only certify your ability in AI-powered applications but also contribute to the Red Hat Certified Architect (RHCA) designation. However, before attempting this exam, it’s recommended to complete the Red Hat OpenShift Developer II (DO288) course.

Free Training for AI/ML Beginners

For those new to AI/ML, Red Hat provides a free, on-demand course called the Red Hat OpenShift AI Technical Overview (AI067). This course introduces the features of Red Hat OpenShift AI, helping participants understand how the platform can be used to develop enterprise-ready, hybrid AI solutions.

Tailored AI/ML Training Solutions

Whether you’re an experienced AI/ML professional or just starting out, Red Hat offers training and certification paths that are customizable to align with your business or personal goals. If you have specific needs, Red Hat’s experts are available to assist with personalized training solutions. Amritatechnologies

Conclusion

Red Hat OpenShift AI offers a comprehensive MLOps platform that integrates AI/ML workflows with enterprise-grade security, scalability, and repeatability. With tailored courses like AI267 and certifications such as EX267, professionals can gain the skills needed to build, deploy, and manage AI solutions efficiently. The platform’s use of open-source tools and DevOps standards ensures consistency and flexibility for AI projects. Free training options provide an accessible entry point for beginners. Red Hat’s focus on customizable training paths supports both individuals and teams in meeting their AI/ML goals. Overall, OpenShift AI accelerates innovation while maintaining operational excellence.

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Amrita Technologies The Trusted Platform for Education and Learning

Amrita Technologies is one of the best Red Hat Linux Authorised Training institutions in India, that offers RedHat courses to students.

We provide extensive training in high-end certification programs like Redhat Linux, Red Hat JBoss Fuse, Red Hat OpenShift Development, Red Hat JBoss AMQ, Openstack, Red Hat Cluster Storage, Ansible, DevOps, OpenShift etc.

Our quality standards are really high, and we use proven technology processes that are credible and cutting-edge at the same time.

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