mlops-v2
Data-Engineering-Roadmap
| mlops-v2 | Data-Engineering-Roadmap | |
|---|---|---|
| 3 | 1 | |
| 451 | 117 | |
| 3.5% | - | |
| 3.7 | 5.4 | |
| 16 days ago | over 1 year ago | |
| Shell | Java | |
| MIT License | - |
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mlops-v2
- MLOps: Machine learning model management - Azure Machine Learning | Microsoft Learn
- Need help with Execute Python Script module in Azure ML Designer
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Create a Managed ML Inference Endpoint and deployment using Terraform
I would create a second step or stage for deploying the endpoint. There is no benefit to try and force terraform to do something it wasn't designed for. You can run AZ CLI commands from terraform, but I don't have experience doing so. Check out this mlops accelerator - https://github.com/Azure/mlops-v2 You can see how they use multiple pipeline for setting up the infrastructure then training and deploying the model.
Data-Engineering-Roadmap
What are some alternatives?
Time-Series-Library - A Library for Advanced Deep Time Series Models.
knime-core - KNIME Analytics Platform
MachineLearningNotebooks - Python notebooks with ML and deep learning examples with Azure Machine Learning Python SDK | Microsoft
Data-Engineering-Projects - Personal Data Engineering Projects
azure - Azure-related repository
LiDAR-Guide - LiDAR Guide
clearml - ClearML - Auto-Magical CI/CD to streamline your AI workload. Experiment Management, Data Management, Pipeline, Orchestration, Scheduling & Serving in one MLOps/LLMOps solution
data-engineer-roadmap - Roadmap to becoming a data engineer in 2021
SynapseML - Simple and Distributed Machine Learning
Cloud-Native-Guide - Cloud Native Guide
computervision-recipes - Best Practices, code samples, and documentation for Computer Vision.
Udacity-Data-Engineering-Projects - Few projects related to Data Engineering including Data Modeling, Infrastructure setup on cloud, Data Warehousing and Data Lake development.