Experiment Tracking Courses
DeepLearning.AI via Coursera Introduction to Data Versioning with DVC
DataCamp Building Reproducible ML Processes with an Open Source Stack
Linux Foundation via YouTube MLOps Essentials: Model Development and Integration
LinkedIn Learning PyTorch for Deep Learning
Zero To Mastery Advanced Experiment Tracking for LLM-Powered Applications with Customized Open-Source MLFlow
Databricks via YouTube Reducing Cost, Latency, and Manual Efforts in Hyperparameter Tuning at Redicell
Anyscale via YouTube Introduction to MLFlow: Managing Machine Learning Workflows
Canonical Ubuntu via YouTube Kubeflow vs MLFlow: Comparing Open-Source MLOps Platforms
Canonical Ubuntu via YouTube Kubeflow vs MLFlow: Choosing the Right MLOps Platform
Canonical Ubuntu via YouTube