What design steps are necessary to ensure VPC isolation for fine-tuning a language model on AWS, preventing any data from leaving the VPC?

1. Understand VPC isolation requirements. 2. Store training data in private S3 using VPC endpoints. 3. Use SageMaker for training within the VPC. 4. Implement least privilege IAM policies. 5. Deploy on a private inference endpoint. 6. Add network controls for security. 7. Audit all actions comprehensively.