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Learn essential MLOps insights through a conference talk that shares one year of hands-on experience at Kolesa Group. Discover the diverse skill set required for MLOps engineering, from basic machine learning concepts to microservice development, Docker and Kubernetes integration, GPU operations, and model monitoring. Gain valuable perspectives on navigating the challenges of MLOps implementation without canonical solutions, making this presentation particularly valuable for those currently working with ML model deployment or planning to implement machine learning in their organizations. The speaker reflects on crucial lessons learned, offering practical insights that would have been beneficial to know at the start of the MLOps journey.
