<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Women-in-Tech on AWS User Group Kozhikode</title><link>https://awsugkozhikode.in/tags/women-in-tech/</link><description>Recent content in Women-in-Tech on AWS User Group Kozhikode</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Thu, 26 Mar 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://awsugkozhikode.in/tags/women-in-tech/index.xml" rel="self" type="application/rss+xml"/><item><title>Learning to Debug AWS Infrastructure with Generative AI</title><link>https://awsugkozhikode.in/events/genai-debugging-aws-march-2026/</link><pubDate>Thu, 26 Mar 2026 00:00:00 +0000</pubDate><guid>https://awsugkozhikode.in/events/genai-debugging-aws-march-2026/</guid><description>&lt;h2 id="learning-to-debug-aws-infrastructure-with-generative-ai">Learning to Debug AWS Infrastructure with Generative AI&lt;/h2>
&lt;p>This session explored how Generative AI can transform the way we approach AWS infrastructure debugging — making the process faster, smarter, and more intuitive.&lt;/p>
&lt;p>&lt;strong>Speaker:&lt;/strong> Rima Sidique — DevOps Engineer, Aivar Innovations&lt;/p>
&lt;p>Part of the &lt;strong>#WomenSpeakerMonth&lt;/strong> initiative by AWS UG Kozhikode, celebrating women voices in the cloud community.&lt;/p>
&lt;h3 id="what-was-covered">What was covered&lt;/h3>
&lt;ul>
&lt;li>How Generative AI can assist in root cause analysis of AWS infrastructure issues&lt;/li>
&lt;li>Practical demonstrations of AI-assisted debugging workflows&lt;/li>
&lt;li>Tips for integrating AI tools into your DevOps practice on AWS&lt;/li>
&lt;/ul></description></item><item><title>Prompt to Production: From LLM Prompts to Production-Ready Infrastructure</title><link>https://awsugkozhikode.in/events/prompt-to-production-march-2026/</link><pubDate>Thu, 19 Mar 2026 00:00:00 +0000</pubDate><guid>https://awsugkozhikode.in/events/prompt-to-production-march-2026/</guid><description>&lt;h2 id="prompt-to-production-from-llm-prompts-to-production-ready-infrastructure">Prompt to Production: From LLM Prompts to Production-Ready Infrastructure&lt;/h2>
&lt;p>This online session covered the full journey from an initial LLM prompt to deploying production-grade infrastructure on AWS — bridging the gap between AI-assisted development and real-world cloud operations.&lt;/p>
&lt;p>&lt;strong>Speaker:&lt;/strong> Varadha B — DevOps Engineer, UROLIME&lt;/p>
&lt;p>Part of the &lt;strong>#WomenSpeakerMonth&lt;/strong> initiative by AWS UG Kozhikode.&lt;/p>
&lt;h3 id="what-was-covered">What was covered&lt;/h3>
&lt;ul>
&lt;li>Designing prompts that generate useful infrastructure code&lt;/li>
&lt;li>Evaluating and refining LLM-generated IaC (Terraform, CDK, CloudFormation)&lt;/li>
&lt;li>Testing and deploying AI-assisted infrastructure safely on AWS&lt;/li>
&lt;li>Best practices for production readiness when using Generative AI in DevOps workflows&lt;/li>
&lt;/ul></description></item></channel></rss>