Developed and delivered the Azure AI Foundry Lab Guide for GPT fine-tuning within the Azure/WPLUS-Azure-AI-Platform-and-Services repository, focusing on enabling end-to-end fine-tuning workflows for generative AI. The work involved creating comprehensive documentation in Markdown that guides users through resource setup, fine-tuning job configuration, and model deployment using the Azure AI Foundry Dashboard. Two sample datasets in JSON format were included to support hands-on lab exercises, streamlining onboarding and reproducibility. Leveraging skills in Azure AI, GPT models, and technical documentation, this contribution established a foundational resource for users to efficiently adopt and experiment with fine-tuning capabilities on the platform.