{"id":8786,"date":"2025-10-29T14:18:16","date_gmt":"2025-10-29T21:18:16","guid":{"rendered":"https:\/\/selectoraidev.wpengine.com\/?post_type=resources&p=8786"},"modified":"2026-05-13T07:05:06","modified_gmt":"2026-05-13T14:05:06","slug":"upgrading-the-network-engineers-toolbelt-by-duan-lightfoot-ai-for-network-leaders-powered-by-selector","status":"publish","type":"resources","link":"https:\/\/www.selector.ai\/ja\/resource\/upgrading-the-network-engineers-toolbelt-by-duan-lightfoot-ai-for-network-leaders-powered-by-selector\/","title":{"rendered":"Upgrading the Network Engineer’s Toolbelt by Du’An Lightfoot: AI for Network Leaders Powered by Selector"},"content":{"rendered":"\n
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Upgrading the Network Engineer’s Toolbelt by Du’An Lightfoot<\/h4>\n\n\n\n

In this session, Du\u2019An Lightfoot<\/strong>, Sr. AI Engineer at AWS and founder of Lab Every Day, <\/strong>explores the rise of agentic AI and how it\u2019s changing the way engineers approach automation, troubleshooting, and productivity. Drawing on real examples, including his own network-automation demos, he explains where AI agents fit\u2014and where they don\u2019t. From code-based determinism to autonomous reasoning, Du\u2019An shows how teams can safely experiment with agents, apply guardrails, and evolve their workflows without losing human oversight. The message is clear: AI won\u2019t replace engineers\u2014it enables them to move faster, learn faster, and focus on higher-value work.<\/p>\n\n\n\n

What You\u2019ll Learn<\/strong>:<\/h5>\n\n\n\n
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<\/path><\/svg><\/span>Practical guardrails, frameworks, and tools (like Cloud Code, Cursor, MCP, and AWS Bedrock) to build, monitor, and safely deploy AI agents.<\/span><\/div>\n\n\n\n
<\/path><\/svg><\/span>How agentic AI extends traditional automation with reasoning, planning, and action loops.<\/span><\/div>\n\n\n\n
<\/path><\/svg><\/span>Why 40 % of early agent projects fail\u2014and how to avoid poor data, unclear goals, and scale issues.<\/span><\/div>\n\n\n\n
<\/path><\/svg><\/span>The difference between deterministic vs. non-deterministic tasks and when to use code versus agents.<\/span><\/div>\n<\/div><\/div>\n\n\n\n

If you wish to watch the entire day of AI for Network Leaders click here. <\/a><\/p>\n<\/div>\n\n\n\n

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Watch the recording here<\/h4><\/div>\n\n\n\n