Learn to build large language model applications: vector databases, langchain, fine tuning and prompt engineering. Learn more
With MLOps, you will be able to streamline and manage your end-to-end machine learning lifecycle, from the inner loop of the data science lifecycle to the outer loop of model deployment and monitoring. In this session, Piethein will help you understand what is MLOps and how to put MLOps into practice with best practice recommendations, reference architectures, and hands-on examples.
Senior Cloud Solution Architect at Microsoft
We are looking for passionate people willing to cultivate and inspire the next generation of leaders in tech, business, and data science. If you are one of them get in touch with us!