docs(changelog): announce Langfuse Academy launch (#2937)

Author: Lotte-Verheyden

components/layout/Banner.tsx

@@ -4,14 +4,14 @@ import { Banner as FumadocsBanner } from "fumadocs-ui/components/banner";
 export function Banner() {
   return (
     <FumadocsBanner
-      id="fd-top-banner-japan"
+      id="fd-top-banner-academy"
       height="2rem"
       className="bg-black text-white [&_a]:text-white [&_button]:text-white"
     >
-      <Link href="/japan">
-        <span className="sm:hidden">🇯🇵 Langfuse Cloud Japan is live →</span>
+      <Link href="/changelog/2026-05-14-langfuse-academy">
+        <span className="sm:hidden">The Langfuse Academy is here →</span>
         <span className="hidden sm:inline">
-          🇯🇵 Langfuse Cloud Japan is live →
+          The Langfuse Academy is here →
         </span>
       </Link>
     </FumadocsBanner>

content/changelog/2026-05-14-langfuse-academy.mdx

@@ -0,0 +1,45 @@
+---
+date: 2026-05-14
+title: "Introducing Langfuse Academy"
+description: "Langfuse Academy is our open explanation of the AI engineering lifecycle: tracing, monitoring, datasets, experiments, and evaluation, and how the pieces fit together."
+author: Lotte, Annabell
+ogImage: /images/changelog/2026-05-14-langfuse-academy.png
+---
+
+import { ChangelogHeader } from "@/components/changelog/ChangelogHeader";
+
+<ChangelogHeader />
+
+Today we're launching the [Langfuse Academy](https://langfuse.com/academy), a free, open resource that explains the AI engineering lifecycle and how the parts connect.
+
+## Why we built it
+
+This is a new field, and users have often asked where they should start. Common practices have emerged over the past years, but the vocabulary and workflows are spread across blog posts, product docs, and teams internally. The Academy is our attempt to put them in one place. 
+
+The tooling only helps if the underlying ideas are clear. Teams move faster when AI engineers, product managers, and leadership share the same vocabulary for tracing, evaluation, datasets, and experiments.
+
+## Who is this for
+
+The Academy is written to be useful for AI engineers and software engineers building LLM applications, for PMs reasoning about quality and tradeoffs, for technical and business leaders who want a working understanding of how AI systems are improved, and for AI agents that support humans in doing this work.
+
+## What's in the Academy today
+
+The Academy follows the [AI engineering loop](https://langfuse.com/academy/ai-engineering-loop) from first visibility into production behavior through to structured improvement:
+
+- [Trace](https://langfuse.com/academy/tracing)
+- [Monitor](https://langfuse.com/academy/monitoring)
+- [Build datasets](https://langfuse.com/academy/datasets)
+- [Experiment](https://langfuse.com/academy/experiments)
+- [Evaluate](https://langfuse.com/academy/evaluate)
+
+Each page explains why a step exists, what problem it solves, and how it connects to the next one. You can read the full sequence or jump to the topic that is most relevant to your team right now.
+
+## What's next
+
+We plan to keep expanding the Academy with deeper dives on individual topics, more examples, and guides to put this into practice. Over time we want it to be the resource we wish had existed when we started building Langfuse.
+
+## Try it out and tell us what you think
+
+You can find the Academy at [langfuse.com/academy](https://langfuse.com/academy).
+
+We're just getting started here and are very curious to hear what you think. If something is unclear, if a topic is missing, or if you'd approach a step differently, we'd love for you to open an issue on [GitHub](https://github.com/langfuse/langfuse-docs/issues). Your feedback will directly shape what we publish next.