みんなのためのMLOpsチュートリアル（日本語）

• MLOpsを学びたいが、どう始めればよいかわからない人のためのガイド

• オープンソース（MIT）ドキュメントで、誰でも参加可能

Introduction

1. What is MLOps?

2. Components of MLOps

3. Why Kubernetes?

Setup Kubernetes

1. Introduction

2. Setup Kubernetes

3. Install Prerequisite

4.1. Install Kubernetes - K3s

4.2. Install Kubernetes - Minikube

4.3. Install Kubernetes - Kubeadm

5. Install Kubernetes Modules

6. (Optional) Setup GPU

Setup Components

1. Kubeflow

2. MLflow Tracking Server

3. Seldon-Core

4. Prometheus & Grafana

Kubeflow UI Guide

1. Central Dashboard

2. Notebooks

3. Tensorboards

4. Volumes

5. Experiments(AutoML)

6. Kubeflow Pipeline関連

Kubeflow

1. Kubeflow Introduction

2. Kubeflow Concepts

3. Install Requirements

4. Component - Write

5. Pipeline - Write

6. Pipeline - Upload

7. Pipeline - Run

8. Component - InputPath/OutputPath

9. Component - Environment

10. Pipeline - Setting

11. Pipeline - Run Result

12. Component - MLFlow

13. Component - Debugging

API Deployment

1. What is API Deployment?

2. Deploy SeldonDeployment

3. Seldon Monitoring

4. Seldon Fields

5. Model from MLflow

6. Multi Models

• 扱えなかった内容

• Python仮想環境のインストール