Kubeflow Bootcamp

[nieriorefasow63]

Kubeflow Bootcamp

Published 6/2023
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 2.49 GB | Duration: 7h 21m

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

What you'll learn
Understand the core concepts of Kubeflow and its role in building scalable and portable machine learning workflows on Google Cloud.
Learn to deploy and manage Kubeflow pipelines to automate end-to-end machine learning workflows on Google Cloud.
Gain proficiency in utilizing Kubeflow components
Develop skills in leveraging Google Cloud's AI Platform for training and serving machine learning models within the Kubeflow environment.
Explore the integration of Kubeflow with other Google Cloud services
Master the use of Kubeflow's monitoring and logging capabilities to ensure effective tracking and debugging of machine learning workflows.
Learn best practices for scaling and optimizing machine learning workloads using Kubeflow on Google Cloud
Understand security and governance considerations when working with Kubeflow on Google Cloud

Requirements
Understanding of general Cloud Service Providers (we provide a Google Cloud intro)
Understand general machine learning concepts
Permissions to subscribe to Google Cloud (credit card may be required)
Some Python Programming Experience

Description
Unlock the Power of Machine Learning Workflows on Google Cloud with Kubeflow!Supercharge your data science skills and revolutionize your machine learning workflows with our comprehensive Udemy course on Kubeflow on Google Cloud. Dive into the world of scalable and portable ML pipelines with this step-by-step guide to harnessing the full potential of Kubeflow.Master the art of automating end-to-end machine learning workflows using Kubeflow and discover how it seamlessly integrates with the robust infrastructure of Google Cloud. Whether you're a data scientist, ML engineer, or aspiring AI enthusiast, this course equips you with the knowledge and hands-on experience to take your projects to new heights.What you'll learn:Unleash the true potential of Kubeflow by understanding its core concepts and its role in building scalable ML workflows.Deploy and manage Kubeflow pipelines effortlessly to automate and streamline your ML projects on Google Cloud.Harness the power of Kubeflow's components, including Katib and Argo, to optimize hyperparameter tuning and workflow orchestration.Maximize the potential of Google Cloud's AI Platform for efficient model training and deployment within the Kubeflow ecosystem.Integrate Kubeflow seamlessly with other Google Cloud services like BigQuery and Cloud Storage for enhanced data processing and storage.Master the art of monitoring and logging in Kubeflow to ensure the success of your ML projects with real-time insights and debugging capabilities.Scale and optimize your ML workloads effectively using Kubeflow, leveraging distributed training and resource allocation techniques.Embrace best practices in security and governance, ensuring compliance and data privacy when working with Kubeflow on Google Cloud.Don't miss out on this opportunity to become a Kubeflow expert and accelerate your career in the rapidly evolving field of AI and ML. Enroll now and unlock the full potential of Kubeflow on Google Cloud with our comprehensive Udemy course!

Overview
Section 1: Course Introduction

Lecture 1 FAQ AND COURSE DOWNLOADS

Lecture 2 Course Overview

Section 2: Google Cloud Overview and Setup

Lecture 3 Overview of Google Cloud Section

Lecture 4 What is Cloud? A Cloud Computing Overview

Lecture 5 GCP Network Infrastructure

Lecture 6 GCP Network Connections

Lecture 7 Why Choose GCP?

Lecture 8 Google Cloud Account Set-Up

Lecture 9 Billing and Budgets

Lecture 10 Billing Tour: DEMO

Lecture 11 Setting a Budget Alert: DEMO

Lecture 12 Google Cloud Storage Options

Lecture 13 Cloud Storage Overview

Lecture 14 Cloud Storage DEMO

Section 3: Kubernetes Overview

Lecture 15 Introduction to Kubernetes Section

Lecture 16 Kubernetes Basics Overview

Lecture 17 Understanding Containers

Lecture 18 Understanding Nodes and Control Plane

Lecture 19 Understanding Kubernetes API

Lecture 20 Container Images

Lecture 21 Cloud Build DEMO

Lecture 22 Google Kubernetes Engine - GKE

Lecture 23 Kubernetes Architecture

Lecture 24 GKE via GUI DEMO

Lecture 25 Kubectl

Lecture 26 GKE via Command Line - DEMO

Lecture 27 Kubernetes Deployments

Lecture 28 Kubernetes Deployment Updates

Lecture 29 Kubernetes Deployment Strategies

Lecture 30 Kubernetes Deployment - DEMO

Lecture 31 Kubernetes Pod Networking

Lecture 32 Kubernetes Storage with Volumes

Lecture 33 Volume Storage - DEMO

Section 4: Understanding Machine Learning Fundamentals

Lecture 34 Introduction to Machine Learning Fundamentals

Lecture 35 Machine Learning Pathway

Lecture 36 Why Machine Learning?

Lecture 37 Types of Machine Learning Algorithms

Lecture 38 Supervised Learning Process

Lecture 39 AI vs ML

Lecture 40 AI and ML on Google Cloud

Lecture 41 Vertex AI Overview

Lecture 42 Vertex AI Workbench: Notebooks in the Cloud

Section 5: Kubeflow Pipelines with Google Cloud

Lecture 43 Kubeflow Section Overview

Lecture 44 Vertex AI Pipelines

Lecture 45 Vertex AI Pipelines and SDKs

Lecture 46 AI Pipeline via Notebook DEMO

Lecture 47 Kubeflow Overview

Lecture 48 Kubeflow DSL

Lecture 49 Kubeflow Pre-Built Components

Lecture 50 Kubeflow Python Components

Lecture 51 Kubeflow Custom Components

Lecture 52 Kubeflow Compilation

Cloud Developers interested in using Kubeflow on Google Cloud


HOMEPAGE

[To see links please register or login]

DOWNLOAD

[To see links please register or login]