Accelerate your AI/ML Strategy with Red Hat Training

Presented by

Sreejith Anujan Learning and Development Instructor, Principal Instructor, Red Hat

About this talk

Organizations are looking to embed AI intelligence into their applications. But the increasing complexity of integrating AI/ML solutions with existing infrastructure, deployment delays, and difficulty scaling AI/ML projects causes many efforts to fail before making it into production. Learn more from Red Hat experts about Red Hat® OpenShift® AI, a flexible, scalable MLOps platform with tools to build, deploy, and manage AI-enabled applications. Built using open source technologies, it provides trusted, operationally consistent capabilities for teams to experiment, serve models, and deliver innovative apps. Dive into best practices and use cases to help launch your AI/ML projects faster and achieve business objectives. Explore Red Hat Training and Certifications designed to help you build essential skills for using Red Hat OpenShift AI to train, develop, and deploy machine learning models with hands-on experience. Webinar Agenda: -Current AI/ML Landscape and Challenges in Operationalizing AI -AI/ML for Red Hat and Open Hybrid Cloud -OpenShift AI: MLOps platform for AI/ML use cases -Demo of OpenShift AI User Interface Dashboard and helpful resources -Red Hat Training & Certification on OpenShift AI Who should attend: -Data scientists and AI practitioners who want to build and train ML models -Developers who want to build and integrate AI/ML enabled applications -MLOps engineers responsible for installing, configuring, deploying, and monitoring AI/ML applications Speaker: Sreejith Anujan, Learning and Development Instructor, Principal Instructor, Red Hat Sreejith Anujan is a cloud technology professional with more than 14 years of experience in on-premise and public cloud providers. He enjoys working with customers on their enablement plans to upskill the technical team on container and automation tooling.
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