Network Automation with Model-Driven Programmability

Traditional network management via manual command-line interfaces is becoming unsustainable in the era of large-scale, complex infrastructure. Model-driven programmability offers a standardized, programmatic approach to managing devices with precision, consistency, and speed. This course provides a clear path for understanding how to treat your network as code using structured data models. You will gain the skills to read and interpret data models, interact with network devices through modern APIs, and automate routine configuration tasks. By learning the fundamental shift from human-readable text to machine-readable data, you will be able to build more resilient and scalable network environments. What you'll learn: - Understand the core concepts of YANG data modeling and how it structures network information - Configure network devices using the NETCONF protocol and XML-based data exchange - Apply RESTCONF for web-friendly network management using JSON and standard HTTP methods - Practice using Python libraries to automate device interactions programmatically - Explore modern telemetry and management trends including gNMI and gRPC for real-time updates - Compare traditional CLI-based management with the benefits of structured, model-driven approaches The course begins with essential terminology and the architecture of data models before moving into practical examples of protocol implementation and Python-based automation. You will progress through written explanations and code-based exercises designed to solidify your understanding of modern networking standards. This course is designed for network engineers and IT professionals who are new to automation; no prior programming or data modeling experience is required. Start your journey into modern network programmability today.