MLOps (Machine Learning Operations) Fundamentals

سرفصل های دوره

This course introduces participants to MLOps tools and best practices for deploying, evaluating, monitoring and operating production ML systems on Google Cloud.

1. Welcome to MLOps Fundamentals

1. Course Introduction

2. Why and When do we Need MLOps

1. Data Scientists Pain Points

2. The concept of DevOps in ML

3. Machine Learning Lifecycle

03. Understanding the Main Kubernetes Components (Optional)

01. Introduction

02. Introduction to Containers

03. Containers and Container Images

04. Lab Intro

05. Pluralsight - Getting Started with GCP and Qwiklabs

07. Lab solution

08. Introduction to Kubernetes

09. Introduction to Google Kubernetes Engine

10. Compute Options Detail

11. Kubernetes Concepts

12. The Kubernetes Control Plane

13. Google Kubernetes Engine Concepts

14. Lab Intro

16. Lab solution

17. Deployments

18. Ways to Create Deployments

19. Services and Scaling

20. Updating Deployments

21. Rolling Updates

22. Blue-Green Deployments

23. Canary Deployments

24. Managing Deployments

25. Lab Intro

27. Jobs and CronJobs

28. Parallel Jobs

29. CronJobs

4. Introduction to AI Platform Pipelines

1. Overview

2. Introduction to AI Platform Pipelines

3. Concepts

4. When to use

5. Ecosystem

7. Lab Solution

5. Training, Tuning and Serving on AI Platform

1. System and concepts overview

2. Create a reproducible dataset

3. Implement a tunable model

4. Build and push a training container

5. Train and tune a model

6. Serve and query a model

7. Lab Intro

9. Lab Solution

6. Kubeflow Pipelines on AI Platform

1. System and concept overview

2. Describing a Kubeflow Pipeline with KF DSL

3. Pre-built components

4. Lightweight Python Components

5. Custom components

6. Compile, Upload and Run

7. Lab Intro - Continuous Training Pipeline with Kubeflow Pipeline and Cloud AI Platform

9. Lab Solution

7. CICD for Kubeflow Pipelines on AI Platform

1. Concept Overview

2. Cloud Build Builders

3. Cloud Build Configuration

4. Cloud Build Triggers

5. Lab Intro

8. Summary

1. Summary

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تولید کننده: PluralSight