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MLOps Workshop
MLOps Overview - TODO
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mohammad/mlops-workshop-exercises
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What is MLOps?
Hands-on Labs
Environment & Prerequisites
MLOps Workshop
mohammad/mlops-workshop-exercises
Home
Home
MLOps Overview - TODO
Workshop Overview
Environment & Prerequisites
What is MLOps?
What is MLOps?
MLOps Overview - TODO
Hands-on Labs
Hands-on Labs
Workshop Overview
Wine Quality Classifier
Bike Demand Forecasting
1 - Environment & Prerequisites
2 - Load, Extract and Clean the Data
3 - Prepare the Data for Training
4 - Model Training and Experiment Tracking
5 - Review the Experiments & Select the Best Model
6 - Model Deployment - Containerize the Endpoint-API
7 - Model Deployment - Deploy on OpenShift Cluster
8 - Model Deployment - Testing Model Endpoint-API
9 - Model & Data Monitoring
LLM Instruction Tuning
1 - Setup & Exploration
2 - Data Preparation
3 - LoRA Tuning
4 - Evaluation
5 - Versioning & Packaging
6 - Deployment & Serving
Environment & Prerequisites
Environment & Prerequisites
Environment & Prerequisites
Git CheatSheet
MLflow Installation with helm
RedHat Demo Environment - ToDo
Helm Installation
MLOps Overview - TODO
What is MLOps and why and which tools and workflows.
Introduction
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