MLOps Hands-On Implementation Current Status Not Enrolled Price Free Get Started Login to Enroll MLOps Hands-On Implementation MLOps-Hands-On-Implementation-innketo-innovations-header-image-01 Course Content Lecture 1. Experiment Tracking Using MLflow in Machine Learning | Model Versioning & Model Registry Lecture 2. Model Serving using MLFlow Model Registry Lecture 3. Model Deployment using FastAPI and MLFlow Model Registry Lecture 4. MLFlow Model Deployment using Flask Lecture 5. Feast as Feature Store in Machine Learning Lecture 6. How to create kubeflow pipeline from scratch Lecture 7. What is “0it [00:00, ?it/s]” in Feast materialize? Lecture 8. Model Drift Detection using Alibi Detect | Classifier based drift detection Lecture 9. How to install kubeflow (pipeline) locally on windows | docker desktop | minikube installation Lecture 10. How to interpret #shapley Summary Plot | #beeswarm Plot Interpretation | Lecture 11. How to deploy Model using Docker Container Lecture 12. End to End Machine Learning Pipeline Creation Using Lecture 13. How to do data versioning using dvc | MLOps
