The boom of artificial intelligence and machine learning applications led to the growing need for robust, repeatable infrastructure management practices. Manual provisioning, which is slow and error-prone, was mostly seen in use until recent times. The immediate proposed solution here leverages Infrastructure as Code with Terraform integrated with Policy-as-Code principles. Details that follow are reusable blueprints of Terraform modules illustrating how core AI infrastructure can be provisioned both on Google Cloud Platform and Amazon Web Services, targeting services like Vertex AI and SageMaker. Quantitative benefits analysis through research that provides empirical evidence in observed acceleration of provisioning time, accompanied by tangible cost reductions. In synthesis, Infrastructure as Code together with Policy-as-Code forms Secure, Efficient, Auditable MLOps Environments that remove teams from manual toil and instead allow a shift left to innovation.