This Coffee Session is a Collaboration with @AIEngineering. Srivatsan Srinivasan, the founder of the popular AI Engineering channel on YouTube and a senior partner at a major technology consultancy. Sri has a true passion for building ML systems and his channel engages in some of the most detailed, thorough, and complete treatments of the MLOps topics we often discuss in the community. It's no surprise then, that his coffee session with us went similarly! This conversation became pretty technical. We delved into details of how to set up CI/CD, how to set up the right kinds of tests, which cloud tools stand out to us on GCP, AWS, etc., and many other topics. Sri was a wealth of knowledge on all these fronts! Some tidbits: 1. Fail smart, not just fast. 2. Deploy a useless model over waiting to deploy the perfect model 3. Understand that much of DevOps/Kubernetes/CI/CD is YAML proficiency, which can be intimidating, but not impossibly by any means. 4. AutoML has a ton of potential that all of us are eagerly watching out for. 5. Avoid overengineering ML systems by doing things as simply as possible. We know many of you have been waiting for a more technical approach to some coffee sessions, and I think this is what you want! Let us know your thoughts on some of the practical tips we discussed (especially about CI/CD and testing).