In this section, we explore key challenges in Edge computing, including organizational impacts and best practices for reliable deployment and management.

In this section, we examine Edge software design, Linux and container roles, and enterprise architecture best practices for effective deployment and management.

In this section, we examine OCI-compliant containers and compare Docker, Podman, and Kubernetes for Edge infrastructure, focusing on their technical features and practical applications.

In this section, we will learn deploying containers, analyzing Open Horizon and IEAM, and implementing policy-based management for scalable Edge operations.

In this section, we will learn installing an Edge Agent, configuring a Management Hub, and setting up secure non-root access for Edge computing.

In this section, we will learn Edge node registration, including pre- and post-condition checks.

In this section, we explore using the Open Horizon CLI and API to manage edge nodes, deploy applications, and understand their interactions for real-world edge computing tasks.

In this section, we will learn developing and deploying Open Horizon services and patterns for edge devices.

In this section, we explore policy-based workload placement for edge microservices, focusing on service, deployment, and node policies to enable scalable and efficient edge application management.

In this section, we explore deploying and managing ML models on edge nodes using MMS. Key concepts include policy-based deployment, model verification, and real-time AI operations.

In this section, we explore Edge security vulnerabilities, Open Horizon's protective measures, and secure management of secrets and API keys to ensure robust distributed system security.

In this section, we will explore secure network connectivity for edge computing, focusing on communication between remote locations and central data centers.

In this section, we explore building a real-world edge application using Open Horizon, deploying containerized services, and integrating ML models for real-time inferencing and dynamic updates via MMS.

In this section, we explore troubleshooting techniques for Edge services, including verifying device agents and uninstalling management tools to ensure reliable deployment and maintenance.

In this section, we explore advanced topics in Edge computing, including fleet management, preventing device failures, and configuring air-gapped environments to ensure secure and reliable operations.

In this section, we explore the IBM Edge Application Manager web UI, focusing on logging in, navigating tabs, managing edge nodes, and deploying services efficiently.