Tutorial MLOps untuk Semua (Bahasa Korea)

• Panduan bagi mereka yang ingin mempelajari MLOps tetapi tidak tahu harus mulai dari mana

• Dokumentasi open source (MIT) yang dapat diikuti siapa saja

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

Panduan UI Kubeflow

1. Central Dashboard

2. Notebooks

3. Tensorboards

4. Volumes

5. Experiments(AutoML)

6. Tentang Kubeflow Pipeline

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

• Hal-hal yang belum sempat dibahas

• Instalasi virtual environment Python