<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Learning on DATATWEETS</title><link>https://datatweets.com/tags/learning/</link><description>Recent content in Learning on DATATWEETS</description><generator>Hugo</generator><language>en</language><copyright>Copyright (c) 2026 Datatweets</copyright><lastBuildDate>Thu, 09 Jul 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://datatweets.com/tags/learning/index.xml" rel="self" type="application/rss+xml"/><item><title>Just-in-Time Learning for AI and Data Careers</title><link>https://datatweets.com/my-notes/just-in-time-learning-ai-data-careers/</link><pubDate>Thu, 09 Jul 2026 00:00:00 +0000</pubDate><guid>https://datatweets.com/my-notes/just-in-time-learning-ai-data-careers/</guid><description>Just-in-time learning: how to choose the right depth, build proof, and stay useful as AI and data work keeps changing.</description></item><item><title>Temporary Depth Is the Skill Modern AI Teams Need</title><link>https://datatweets.com/my-notes/temporary-depth-ai-teams/</link><pubDate>Thu, 09 Jul 2026 00:00:00 +0000</pubDate><guid>https://datatweets.com/my-notes/temporary-depth-ai-teams/</guid><description>Why fast-moving AI, data, and software teams need people who can build temporary depth without losing sight of fundamentals.</description></item></channel></rss>