Core Insights - The article emphasizes the transition from traditional network engineers to network architects who understand programming and automation, highlighting the importance of integrating Huawei's networking certification with Python automation as a pathway to advanced skills [2][7] - It outlines a structured learning approach that combines network theory with practical programming, aiming to transform certification knowledge into actionable skills [4][5] Learning Strategies - The first step involves a cognitive shift from viewing oneself as a command-line operator to embracing the identity of a network developer, which enhances motivation for learning [3][5] - The second step advocates for a dual-track learning approach anchored in real-world scenarios, encouraging learners to see network devices and Python scripts as interconnected rather than separate entities [3][4] - The third step focuses on goal-oriented learning, emphasizing the importance of practical project exercises to solidify theoretical knowledge into practical problem-solving skills [5][6] Practical Application - The article identifies key automation scenarios for network operations, such as device information inspection, batch configuration changes, rapid fault localization, and network topology discovery, which serve as practical learning objectives [8] - It suggests building a personal lab environment using simulators like eNSP and GNS3 to create a risk-free space for experimentation and learning [8] - The article encourages setting a comprehensive project goal, such as developing an automation script for monitoring device performance, to apply learned skills in a practical context [8]