Exploring AI as an Ally in Network Engineering

In a recent article published on May 29, 2024, by guest contributor Verlaine Muhungu, a freelance network technician recognized as a top talent by Cisco in sub-Saharan Africa, the discussion pivots towards a future where artificial intelligence (AI), especially generative AI (GenAI), is seen not as a threat but as an ally in the technological and professional landscape. Muhungu explores the integration of AI into various sectors, with a keen focus on network engineering and security operations.
The emergence of GenAI tools has spurred innovation and competition, encouraging the creation of new products through APIs. Despite the versatility and potential of AI to revolutionize multiple fields, there remains a palpable concern regarding its impact on the workforce, with fears of job obsolescence if professionals fail to adapt to new technological advancements.
Network engineers, known for their adaptability from command-line interfaces to API and now AI, are highlighted as a group that must understand AI’s potential to prepare their networks for future demands. This preparation includes integrating AI and automation into security operations to streamline threat detection and minimize time-consuming tasks, allowing teams to focus on critical issues that might elude AI capabilities.
Moreover, the article outlines essential prerequisites for network engineers venturing into AI, including fluency in Rest APIs, Python, data formats like YAML, XML, and JSON, understanding of cloud platforms (AWS, Azure, Google Cloud), and familiarity with AI tools and models such as IBM Watsonx, Tabnine, Amazon CodeWhisperer, and AI models like Meta’s Llama, Google’s Gemini, and OpenAI’s GPT.
To validate AI expertise, Muhungu suggests pursuing certifications such as the Cisco Certified DevNet Associate for network automation, Cisco Certified CyberOps Associate for technical skills in security operations, Nvidia-Certified Associate Generative AI LLMs (NCA-GENL) for GenAI and large language model development, and AWS Certified Cloud Practitioner for a foundational understanding of AWS cloud services.
Muhungu’s article serves as a clarion call for network engineers and professionals in related fields to embrace AI, not as a replacement for human expertise but as a tool to enhance efficiency, innovation, and productivity in their respective domains.