Artificial Intelligence (AI) is transforming modern application development, and Red Hat AI Developer: AI-Enabled Applications (AI267) equips developers with the skills to integrate AI and machine learning (ML) into cloud-native applications. This course focuses on leveraging OpenShift AI, containers, and MLOps to build, deploy, and manage intelligent applications at scale.
Through hands-on labs, you’ll learn to develop AI-powered applications, manage models in OpenShift, and automate ML workflows using tools like Red Hat OpenShift AI, TensorFlow, PyTorch, and OpenVINO. The course covers key AI/ML concepts, model lifecycle management, and the deployment of scalable AI applications in containerized environments.
By the end of this course, you’ll be able to build, deploy, and optimize AI-enabled applications using OpenShift AI, making you proficient in MLOps, model serving, and cloud-native AI integration for enterprise environments.
