KubeFlow Bootcamp

سرفصل های دوره

Learn how to use Kubeflow for Machine Learning at scale on Google Cloud!

1 - Course Introduction

1 - FAQ AND COURSE DOWNLOADS.html

2 - Course Overview

2 - Google Cloud Overview and Setup

3 - Overview of Google Cloud Section

4 - What is Cloud A Cloud Computing Overview

5 - GCP Network Infrastructure

6 - GCP Network Connections

7 - Why Choose GCP

8 - Google Cloud Account SetUp

9 - Billing and Budgets

10 - Billing Tour DEMO

11 - Setting a Budget Alert DEMO

12 - Google Cloud Storage Options

13 - Cloud Storage Overview

14 - Cloud Storage DEMO

3 - Kubernetes Overview

15 - Introduction to Kubernetes Section

16 - Kubernetes Basics Overview

17 - Understanding Containers

18 - Understanding Nodes and Control Plane

19 - Understanding Kubernetes API

20 - Container Images

21 - Cloud Build DEMO

22 - Google Kubernetes Engine GKE

23 - Kubernetes Architecture

24 - GKE via GUI DEMO

25 - Kubectl

26 - GKE via Command Line DEMO

27 - Kubernetes Deployments

28 - Kubernetes Deployment Updates

29 - Kubernetes Deployment Strategies

30 - Kubernetes Deployment DEMO

31 - Kubernetes Pod Networking

32 - Kubernetes Storage with Volumes

33 - Volume Storage DEMO

4 - Understanding Machine Learning Fundamentals

34 - Introduction to Machine Learning Fundamentals

35 - Machine Learning Pathway

36 - Why Machine Learning

37 - Types of Machine Learning Algorithms

38 - Supervised Learning Process

39 - AI vs ML

40 - AI and ML on Google Cloud

41 - Vertex AI Overview

42 - Vertex AI Workbench Notebooks in the Cloud

5 - Kubeflow Pipelines with Google Cloud

43 - Kubeflow Section Overview

44 - Vertex AI Pipelines

45 - Vertex AI Pipelines and SDKs

46 - AI Pipeline via Notebook DEMO

46 - vertex-ai-emoji-pipeline.zip

47 - Kubeflow Overview

48 - Kubeflow DSL

49 - Kubeflow PreBuilt Components

50 - Kubeflow Python Components

51 - Kubeflow Custom Components

52 - Kubeflow Compilation

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تولید کننده: Udemy-Training