Add monthly learning path report [skip ci]

Author: github-actions

reports/LP-report-2026-02.md

@@ -4,7 +4,7 @@
 ## Published Learning Paths
 | Title | Start Date | Publish Date | Time to Publish (days) | Program | Category | CSP |
 |-------|--------------|-------------|----------------------|-----|----------|-----|
-| [Deploy Arm-based Cobalt 100 VMs using Azure Resource Manager templates](https://learn.arm.com/learning-paths/servers-and-cloud-computing/azure-arm-template/) | January 28, 2026 | February 07, 2026 | 10 | ACM | servers-and-cloud-computing |  |
+| [Deploy Arm-based Cobalt 100 VMs using Azure Resource Manager templates](https://learn.arm.com/learning-paths/servers-and-cloud-computing/azure-arm-template/) | January 28, 2026 | February 07, 2026 | 10 | ACM | servers-and-cloud-computing | Microsoft Azure |
 | [Arm Total Performance](https://learn.arm.com/install-guides/atp) | February 03, 2026 | February 07, 2026 | 4 | ACM | install-guides |  |
 | [Arm System Characterization Tool](https://learn.arm.com/install-guides/asct) | February 03, 2026 | February 07, 2026 | 4 | ACM | install-guides |  |
 | [Build an offline voice chatbot with faster-whisper and vLLM on DGX Spark](https://learn.arm.com/learning-paths/laptops-and-desktops/dgx_spark_voicechatbot/) | February 04, 2026 | February 13, 2026 | 9 |  | laptops-and-desktops |  |
@@ -15,20 +15,25 @@
 | [Quantize neural upscaling models with ExecuTorch](https://learn.arm.com/learning-paths/mobile-graphics-and-gaming/quantize-neural-upscaling-models/) | February 10, 2026 | February 23, 2026 | 13 |  | mobile-graphics-and-gaming |  |
 | [Scan multi-architecture containers with Trivy on Azure Cobalt 100](https://learn.arm.com/learning-paths/servers-and-cloud-computing/trivy-on-gcpp/) | February 11, 2026 | February 23, 2026 | 12 | ACM | servers-and-cloud-computing | Microsoft Azure |
 | [Deploy OpenTelemetry on Google Cloud C4A Axion processors](https://learn.arm.com/learning-paths/servers-and-cloud-computing/opentelemetry/) | February 18, 2026 | February 23, 2026 | 5 | ACM | servers-and-cloud-computing | Google Cloud |
+| [Optimize C++ applications on Windows on Arm using Profile-Guided Optimization](https://learn.arm.com/learning-paths/laptops-and-desktops/win_profile_guided_optimisation/) | January 09, 2026 | February 28, 2026 | 50 |  | laptops-and-desktops |  |
+| [Fine-tune PyTorch models on DGX Spark](https://learn.arm.com/learning-paths/laptops-and-desktops/pytorch-finetuning-on-spark/) | February 11, 2026 | February 28, 2026 | 17 |  | laptops-and-desktops |  |
+| [Measure LLM inference performance with KleidiAI and SME2 on Android](https://learn.arm.com/learning-paths/mobile-graphics-and-gaming/performance_llama_cpp_sme2/) | February 11, 2026 | February 28, 2026 | 17 |  | mobile-graphics-and-gaming |  |
+| [Deploy a live sensor dashboard with TimescaleDB and Grafana on Google Cloud C4A](https://learn.arm.com/learning-paths/servers-and-cloud-computing/timescaledb-on-gcp/) | February 19, 2026 | February 28, 2026 | 9 | ACM | servers-and-cloud-computing | Google Cloud |
+| [Automate x86 to Arm Migration with Docker MCP Toolkit, VS Code and GitHub Copilot](https://learn.arm.com/learning-paths/servers-and-cloud-computing/docker-mcp-toolkit/) | February 20, 2026 | February 28, 2026 | 8 | ACM | servers-and-cloud-computing |  |
 
 | Statistic | Value |
 |-----------|-------|
-| Number of Learning Paths published | 11 |
-| Number of ACM Learning Paths published | 9 |
-| Average time to publish (days) | 26.6 |
+| Number of Learning Paths published | 16 |
+| Number of ACM Learning Paths published | 11 |
+| Average time to publish (days) | 24.6 |
 | Longest time to publish (days) | 84 |
-| Number in 'servers-and-cloud-computing' | 5 |
+| Number in 'servers-and-cloud-computing' | 7 |
 | Number in 'install-guides' | 2 |
-| Number in 'laptops-and-desktops' | 1 |
+| Number in 'laptops-and-desktops' | 3 |
 | Number in 'cross-platform' | 2 |
-| Number in 'mobile-graphics-and-gaming' | 1 |
-| Number with Google Cloud tag | 1 |
-| Number with Microsoft Azure tag | 1 |
+| Number in 'mobile-graphics-and-gaming' | 2 |
+| Number with Google Cloud tag | 2 |
+| Number with Microsoft Azure tag | 2 |
 | Number with AWS tag | 1 |
 | Number with Oracle tag | 0 |
 
@@ -50,5 +55,5 @@
 Total planned Learning Paths: 11
 
 
-_Report generated on February 23, 2026 at 15:43:35 UTC_
+_Report generated on February 28, 2026 at 22:10:00 UTC_