layer5io · leecalcote · Jun 2, 2026 · Jun 2, 2026
diff --git a/...82-1a4c-4781-adf9-99ec22cd994e/build-a-rag-agent-with-knowledge-bases/_index.md b/...82-1a4c-4781-adf9-99ec22cd994e/build-a-rag-agent-with-knowledge-bases/_index.md
@@ -2,5 +2,5 @@
 title: "Build a RAG Agent with Knowledge Bases"
 description: "Create a Gradient AI Platform agent grounded on your own data with a knowledge base, then verify retrieval and citations. Prove you can build production-style RAG applications on DigitalOcean."
 banner: "digitalocean.svg"
-id: "833186ac-b009-41eb-b49c-02d2b8de2603"
+id: "160b7a48-7fd7-42c3-93c5-4396e109780f"
 ---
diff --git a/...es/3e2f9c82-1a4c-4781-adf9-99ec22cd994e/deploy-an-llm-on-gpu-droplets/_index.md b/...es/3e2f9c82-1a4c-4781-adf9-99ec22cd994e/deploy-an-llm-on-gpu-droplets/_index.md
@@ -2,5 +2,5 @@
 title: "Deploy an LLM on GPU Droplets"
 description: "Stand up an open LLM on a DigitalOcean GPU Droplet using 1-Click Models or vLLM, then call its OpenAI-compatible endpoint. Validate your skills deploying and serving models on GPU infrastructure."
 banner: "digitalocean.svg"
-id: "97d113d8-4137-44ae-9a5a-49627e988518"
+id: "7c57a93d-140f-4237-82f1-04b08186f9a1"
 ---
diff --git a/...82-1a4c-4781-adf9-99ec22cd994e/manage-a-doks-gpu-cluster-with-meshery/_index.md b/...82-1a4c-4781-adf9-99ec22cd994e/manage-a-doks-gpu-cluster-with-meshery/_index.md
@@ -2,5 +2,5 @@
 title: "Manage a DOKS GPU Cluster with Meshery"
 description: "Import a DigitalOcean Kubernetes GPU cluster into Meshery, deploy an inference Design, and run a Performance Profile against the endpoint. Demonstrate cloud native operations for AI workloads."
 banner: "digitalocean.svg"
-id: "bab75a74-0c38-4697-a735-d3e70aef5ab4"
+id: "d04f1046-5fc7-454d-bba9-c8fe7b9673af"
 ---
diff --git a/...s/3e2f9c82-1a4c-4781-adf9-99ec22cd994e/ai-foundations-on-digitalocean/_index.md b/...s/3e2f9c82-1a4c-4781-adf9-99ec22cd994e/ai-foundations-on-digitalocean/_index.md
@@ -2,7 +2,7 @@
 type: "learning-path"
 title: "AI Foundations on DigitalOcean"
 description: "Start here. Understand DigitalOcean's AI-Native Cloud, call foundation models with serverless inference, ship your first managed agent on the Gradient AI Platform, and learn the prompt-engineering essentials that make AI features reliable."
-id: "2d1af3b6-ca9a-4eea-9aa9-6961c21df0b2"
+id: "d5bb7a86-ce6a-4b20-9189-7c9d369dc1d8"
 banner: "digitalocean.svg"
 weight: 2
 level: "beginner"

diff --git a/...e2f9c82-1a4c-4781-adf9-99ec22cd994e/building-agentic-ai-with-gradient/_index.md b/...e2f9c82-1a4c-4781-adf9-99ec22cd994e/building-agentic-ai-with-gradient/_index.md
@@ -2,7 +2,7 @@
 type: "learning-path"
 title: "Building Agentic AI with the Gradient AI Platform"
 description: "Go deep on DigitalOcean's Gradient AI Platform. Design agents, ground them on your data with knowledge bases and RAG, give them tools with functions, orchestrate multiple agents with routing, add guardrails and evaluations, and ship to production."
-id: "9873539a-df74-49b5-9370-d29afcb94020"
+id: "125ee233-7d98-4b8d-9722-6ef8149c48e4"
 banner: "digitalocean.svg"
 weight: 3
 level: "intermediate"

diff --git a/...ths/3e2f9c82-1a4c-4781-adf9-99ec22cd994e/cloud-native-ai-with-meshery/_index.md b/...ths/3e2f9c82-1a4c-4781-adf9-99ec22cd994e/cloud-native-ai-with-meshery/_index.md
@@ -2,7 +2,7 @@
 type: "learning-path"
 title: "Cloud Native AI Infrastructure with Meshery & DOKS"
 description: "Operate AI infrastructure the cloud native way. Use Meshery, the open-source cloud native manager, to import and visualize DOKS GPU clusters, design AI inference stacks as reusable Designs, performance-test inference endpoints, run GitOps across clusters, and observe GPU workloads."
-id: "83c3267b-cdb2-47fc-87cc-7e4d713eb057"
+id: "4fcd74a8-b64c-45aa-9a9e-13ea8e9ead15"
 banner: "digitalocean.svg"
 weight: 5
 level: "advanced"

diff --git a/...hs/3e2f9c82-1a4c-4781-adf9-99ec22cd994e/gpu-compute-and-model-serving/_index.md b/...hs/3e2f9c82-1a4c-4781-adf9-99ec22cd994e/gpu-compute-and-model-serving/_index.md
@@ -2,7 +2,7 @@
 type: "learning-path"
 title: "GPU Compute & Model Serving"
 description: "Run AI on raw horsepower. Create GPU Droplets, deploy 1-Click Models powered by Hugging Face, self-host LLMs with vLLM and friends, fine-tune models, and scale distributed inference on DigitalOcean Kubernetes."
-id: "f825d879-1a16-4cb2-a441-67849e69de19"
+id: "e6467d76-4a93-497e-8ac7-183d4a7d64fe"
 banner: "digitalocean.svg"
 weight: 4
 level: "intermediate"

diff --git a/...-paths/3e2f9c82-1a4c-4781-adf9-99ec22cd994e/production-ai-engineering/_index.md b/...-paths/3e2f9c82-1a4c-4781-adf9-99ec22cd994e/production-ai-engineering/_index.md
@@ -2,7 +2,7 @@
 type: "learning-path"
 title: "Production AI Engineering & MLOps"
 description: "Run AI in production. Master the Inference Engine and Inference Router, build the data and retrieval layer with Spaces and pgvector, secure and network your AI services, and ship continuously with GitHub Actions and Meshery."
-id: "114058e2-25c5-4e6e-8d7d-6fe5ee198f0e"
+id: "7b6d410c-48ea-43d7-afef-9eb568439b96"
 banner: "digitalocean.svg"
 weight: 6
 level: "advanced"

diff --git a/package-lock.json b/package-lock.json
diff --git a/package.json b/package.json
@@ -35,10 +35,10 @@
     "update:pkgs": "npx npm-check-updates -u"
   },
   "devDependencies": {
-    "autoprefixer": "^10.4.21",
+    "autoprefixer": "^10.5.0",
     "cross-env": "^7.0.3",
     "hugo-extended": "0.158.0",
-    "postcss": "^8.5.12",
+    "postcss": "^8.5.15",
     "postcss-cli": "^11.0.1",
     "rtlcss": "^4.3.0",
     "sass": "^1.98.0"