Worked on enhancing Kubeflow lab documentation within the kakaocloud-edu/tutorial repository, focusing on improving onboarding and reducing configuration errors. Over two months, updated Labs 02, 04, 05, and 06 by standardizing Docker image references, clarifying TensorBoard storage options, and restructuring hyperparameter tuning guidance. Used Markdown, YAML, and Bash to refresh configuration details, remove redundant settings, and ensure step-by-step clarity for users. The technical approach emphasized consistency and reproducibility, with targeted commits that improved documentation accuracy and streamlined lab setup. These updates supported cloud computing workflows and Kubernetes-based environments, ultimately making the labs more accessible and reliable for new users.