Edge AI Foundations with EGX Platform

Bringing powerful AI capabilities closer to where data is generated, at the network edge, presents unique opportunities and challenges for businesses. Discover how to extend the reach of artificial intelligence from centralized data centers to distributed edge locations. By the end of this course, you will understand the core concepts of edge AI computing and be equipped to design and manage AI deployments leveraging the EGX platform's capabilities. What you'll learn: * Understand the fundamental principles of edge AI and accelerated computing * Learn the architecture and key components of the EGX platform for AI deployments * Apply strategies for deploying cloud-native AI applications from the datacenter to edge devices * Configure and manage AI workloads on distributed edge infrastructure using platform services * Explore containerization techniques for packaging and delivering AI models to the edge * Identify essential security considerations and best practices for edge AI deployments This course begins with foundational concepts of edge AI, progresses through the architecture of the EGX platform, and concludes with practical approaches to deploying and managing AI applications at the edge. This course is designed for beginners interested in artificial intelligence, edge computing, and distributed systems, with no prior experience in EGX or edge AI required. Start your journey into the world of accelerated edge AI today.