From Concept to Production: Building a Production-Ready ML Pipeline - Part 2
Offered By: MLOps World: Machine Learning in Production via YouTube
Course Description
Overview
Dive into a comprehensive 3-hour and 28-minute workshop session focused on transforming machine learning concepts into production-ready solutions. Learn from Google's AI leaders as they guide you through an open-source Python template covering the entire ML journey. Explore hands-on tutorials for building ML components, including data preparation, model hyper-training, deployment, and prediction. Discover how to deploy these components in a Kubeflow pipeline with orchestration for training and prediction. Gain practical experience in creating production-ready ML pipelines on Google Cloud Platform, working with models such as XGBoost and TensorFlow. By the end of this workshop, acquire the skills to build and deploy end-to-end ML pipelines, bridging the gap between concept and production in the field of machine learning.
Syllabus
Workshop Sessions: Part 2 From Concept to Production - Template for the Entire ML Journey
Taught by
MLOps World: Machine Learning in Production
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