Automate lifecycle management

Explore the strategies for automating the lifecycle management of generative AI workloads using infrastructure as code (IaC) principles. Include aspects such as tool selection, CI/CD implementation, environment management, version control, and governance practices. The focus is on creating reproducible, scalable, and maintainable infrastructure for AI applications across different stages of development and deployment, while maintaining consistency and security and helping you address regulatory compliance.