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Join this comprehensive lunch and learn workshop to master the fundamentals of MLOps (Machine Learning Operations) with industry expert Miki Bazeley, a Senior Engineer specializing in MLOps and ML Engineering. Discover the essential practices, tools, and methodologies needed to successfully deploy, monitor, and maintain machine learning models in production environments. Learn from Miki's extensive experience across multiple roles including data analyst, data scientist, and ML engineer, gaining insights into the complete MLOps lifecycle from model development to production deployment. Explore key concepts such as model versioning, continuous integration and deployment for ML systems, monitoring and observability, infrastructure management, and best practices for scaling ML operations. Understand how to bridge the gap between data science experimentation and production-ready ML systems, including strategies for model governance, automated testing, and performance optimization. Benefit from Miki's mentoring experience at multiple data science bootcamps as she breaks down complex MLOps concepts into digestible, actionable insights. Gain practical knowledge about popular MLOps tools and platforms, learn how to implement robust ML pipelines, and discover strategies for managing model drift and ensuring system reliability. Perfect for data scientists, ML engineers, and anyone looking to transition into MLOps roles or improve their understanding of production machine learning systems.
