Standardize and refactor tutorials titles and metadata for improved clarity, organization, and SEO

qdrant-landing/content/documentation/tutorials-and-examples/cloud-inference-hybrid-search.md

@@ -1,9 +1,13 @@
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-title: Using Cloud Inference to Build Hybrid Search
+title: Cloud Inference Hybrid Search
 hideInSidebar: true
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-# Using Cloud Inference with Qdrant for Vector Search
+# Hybrid Search Using Qdrant Cloud Inference
+
+| Time: 30 min | Level: Intermediate |
+| --- | ----------- |
+
 In this tutorial, we'll walkthrough building a **hybrid semantic search engine** using Qdrant Cloud's built-in [inference](/documentation/cloud/inference/) capabilities. You'll learn how to:
 - Automatically embed your data using [cloud Inference](/documentation/cloud/inference/) without needing to run local models,
 - Combine dense semantic embeddings with [sparse BM25 keywords](https://qdrant.tech/documentation/advanced-tutorials/reranking-hybrid-search/),  and

qdrant-landing/content/documentation/tutorials-and-examples/hybrid-cloud-prometheus.md

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-title: Monitoring Hybrid/Private Cloud with Prometheus and Grafana
+title: Self-Hosted Prometheus Monitoring
 weight: 37
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 # Monitoring Hybrid/Private Cloud with Prometheus and Grafana
+| Time: 30 min | Level: Intermediate |
+| --- | ----------- |
 
 This tutorial will guide you through the process of setting up Prometheus and Grafana to monitor Qdrant databases running in a Kubernetes cluster used for Hybrid or Private Cloud.
 

qdrant-landing/content/documentation/tutorials-and-examples/managed-cloud-prometheus.md

@@ -1,5 +1,5 @@
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-title: Monitoring Managed Cloud with Prometheus and Grafana
+title: Managed Cloud Prometheus Monitoring
 weight: 36
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