Integrating AI into your application transforms the traditional software development and DevOps lifecycle. Unlike standard code, LLM outputs can vary for the same input, leading to different accuracy levels. This affects both pre-deployment testing and post-deployment monitoring. To achieve and maintain quality, you will learn to apply ML/LLM Ops practices from data science within your software development and DevOps lifecycles.