Add descriptions to learning paths for improved clarity

Author: madeline-underwood

content/learning-paths/servers-and-cloud-computing/ai-agent-on-cpu/_index.md

@@ -1,5 +1,6 @@
 ---
 title: Deploy an AI Agent on Arm with llama.cpp and llama-cpp-agent using KleidiAI
+description: Learn how to build and deploy an AI agent application on Arm servers using llama.cpp and llama-cpp-agent with KleidiAI optimization for efficient LLM inference and function calling.
 
 minutes_to_complete: 45
 

content/learning-paths/servers-and-cloud-computing/aks/_index.md

@@ -1,5 +1,6 @@
 ---
-title: Create an Arm-based Kubernetes cluster on Microsoft Azure Kubernetes Service 
+title: Create an Arm-based Kubernetes cluster on Microsoft Azure Kubernetes Service
+description: Learn how to automate the deployment of an Arm-based Kubernetes cluster on Azure AKS using Terraform and deploy a sample WordPress application as a workload.
 
 minutes_to_complete: 60   
 

content/learning-paths/servers-and-cloud-computing/apache_arrow_and_flight/_index.md

@@ -1,5 +1,6 @@
 ---
 title: Deploy High-Performance Analytics with Apache Arrow and Arrow Flight on Google Cloud C4A Axion processors
+description: Learn how to deploy Apache Arrow and Arrow Flight on Google Cloud Axion C4A processors for high-throughput columnar data processing and low-latency data transport with MinIO integration.
 
 minutes_to_complete: 30
 

content/learning-paths/servers-and-cloud-computing/arcee-foundation-model-on-aws/_index.md

@@ -1,5 +1,6 @@
 ---
 title: Deploy Arcee AFM-4.5B on Arm-based AWS Graviton4 with Llama.cpp
+description: Learn how to build llama.cpp, quantize the Arcee AFM-4.5B model, and run optimized inference on AWS Graviton4 instances with perplexity-based quality evaluation.
 
 minutes_to_complete: 30
 

content/learning-paths/servers-and-cloud-computing/arcee-foundation-model-on-gcp/_index.md

@@ -1,5 +1,6 @@
 ---
 title: Deploy Arcee AFM-4.5B on Arm-based Google Cloud Axion with Llama.cpp
+description: Learn how to build llama.cpp, quantize the Arcee AFM-4.5B model, and run optimized inference on Google Cloud Axion instances with perplexity-based quality evaluation.
 
 minutes_to_complete: 30
 

content/learning-paths/servers-and-cloud-computing/aws-copilot/_index.md

@@ -1,5 +1,6 @@
 ---
 title: How to use AWS Graviton processors on AWS Fargate with Copilot
+description: Learn how to package multi-architecture container applications and deploy them on AWS Fargate with Graviton processors using the AWS Copilot CLI.
 
 minutes_to_complete: 45