[CourseClub.Me] PacktPub - Data Science Model Deployments and Cloud Computing on GCP

磁力链接/BT种子名称

[CourseClub.Me] PacktPub - Data Science Model Deployments and Cloud Computing on GCP

磁力链接/BT种子简介

种子哈希：37a4cd5350ea9fb974d2f3d83d9c9b382e720b7e
文件大小： 1.71G
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收录时间：2023-12-20
最近下载：2025-05-31

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文件列表

  • Chapter 9 Vertex AI - Machine Learning Framework/007. Lab - Model Deployment Flow Using Python SDK.mp4 63.2 MB
  • Chapter 7 Data Science Models with Google App Engine/008. Lab - Final Solution Deployment Using Workflow and App Engine.mp4 63.0 MB
  • Chapter 9 Vertex AI - Machine Learning Framework/003. Lab - Custom Model Training Using Web Console.mp4 59.7 MB
  • Chapter 8 Dataproc Serverless PySpark/007. Lab - Airflow with Serverless PySpark.mp4 55.6 MB
  • Chapter 6 Cloud Functions - Serverless and Event-Driven Applications/002. Lab - Deploy Python Application Using Cloud Storage Triggers.mp4 54.8 MB
  • Chapter 4 Cloud Run - Serverless and Containerized Applications/005. Lab - Run and Ship Applications Using the Container Registry.mp4 54.6 MB
  • Chapter 7 Data Science Models with Google App Engine/003. Lab - Deploy Training Code to App Engine.mp4 53.9 MB
  • Chapter 6 Cloud Functions - Serverless and Event-Driven Applications/007. Lab – Use Case Deployment - Part-1.mp4 47.2 MB
  • Chapter 4 Cloud Run - Serverless and Containerized Applications/011. Lab - Continuous Deployment Using Cloud Build and GitHub.mp4 46.6 MB
  • Chapter 4 Cloud Run - Serverless and Containerized Applications/007. Lab - Deploy Python Application to Cloud Run.mp4 46.1 MB
  • Chapter 5 Google App Engine - For Serverless Applications/008. Lab - Implement Caching Mechanism in Python Application - Part 1.mp4 45.8 MB
  • Chapter 9 Vertex AI - Machine Learning Framework/004. Lab - Custom Model Training Using SDK and Model Registries.mp4 43.5 MB
  • Chapter 9 Vertex AI - Machine Learning Framework/010. Lab - Code Walkthrough Using Kubeflow and Python.mp4 42.3 MB
  • Chapter 3 Get Started with Google Cloud/003. Get Comfortable with Basics of gcloud CLI.mp4 40.1 MB
  • Chapter 4 Cloud Run - Serverless and Containerized Applications/010. Lab - Python Application Deployment Using Cloud Build.mp4 40.0 MB
  • Chapter 7 Data Science Models with Google App Engine/006. Lab - Data Validation Using App Engine.mp4 39.9 MB
  • Chapter 3 Get Started with Google Cloud/004. gsutil and Bash Command Basics.mp4 39.0 MB
  • Chapter 5 Google App Engine - For Serverless Applications/012. Lab - Scalability and Instance Types in App Engine.mp4 38.7 MB
  • Chapter 9 Vertex AI - Machine Learning Framework/013. Lab - Add Model Evaluation Step in Kubeflow before Deployment.mp4 37.7 MB
  • Chapter 8 Dataproc Serverless PySpark/004. Lab - Develop and Submit PySpark Job.mp4 37.0 MB
  • Chapter 10 Cloud Scheduler and Application Monitoring/003. Lab - Set Up Alerting for Google App Engine Applications.mp4 35.9 MB
  • Chapter 9 Vertex AI - Machine Learning Framework/008. Lab - Model Serving Using Endpoint with Python SDK.mp4 35.7 MB
  • Chapter 2 Modern-Day Cloud Concepts/003. Serverless Versus Servers and Containerization.mp4 33.3 MB
  • Chapter 9 Vertex AI - Machine Learning Framework/011. Lab - Pipeline Execution in Kubeflow.mp4 31.6 MB
  • Chapter 10 Cloud Scheduler and Application Monitoring/004. Lab - Set Up Alerting for Cloud-Run Applications.mp4 30.1 MB
  • Chapter 8 Dataproc Serverless PySpark/003. Persistent History Cluster.mp4 29.7 MB
  • Chapter 9 Vertex AI - Machine Learning Framework/014. Lab - Reusing Configuration Files for Pipeline Execution and Training.mp4 29.1 MB
  • Chapter 7 Data Science Models with Google App Engine/004. Lab - Deploy Model Serving Code to App Engine.mp4 27.9 MB
  • Chapter 5 Google App Engine - For Serverless Applications/006. Lab - Deploy Python - BigQuery Application.mp4 27.9 MB
  • Chapter 7 Data Science Models with Google App Engine/007. Lab - Workflow Template Introduction.mp4 27.7 MB
  • Chapter 6 Cloud Functions - Serverless and Event-Driven Applications/008. Lab – Use Case Deployment - Part-2.mp4 25.4 MB
  • Chapter 4 Cloud Run - Serverless and Containerized Applications/008. Cloud Run Application Scalability Parameters.mp4 25.0 MB
  • Chapter 4 Cloud Run - Serverless and Containerized Applications/004. Lab - Run Docker Locally.mp4 24.8 MB
  • Chapter 5 Google App Engine - For Serverless Applications/004. Lab - Deploy Python Application to App Engine - Part 2.mp4 23.2 MB
  • Chapter 10 Cloud Scheduler and Application Monitoring/002. Lab - Cloud Scheduler in Action.mp4 20.8 MB
  • Chapter 5 Google App Engine - For Serverless Applications/011. Lab - Python App Deployment in a Flexible Environment.mp4 19.7 MB
  • Chapter 3 Get Started with Google Cloud/002. Google Cloud CLI Setup.mp4 19.3 MB
  • Chapter 8 Dataproc Serverless PySpark/005. Lab - Monitoring and Spark UI.mp4 19.2 MB
  • Chapter 5 Google App Engine - For Serverless Applications/003. Lab - Deploy Python Application to App Engine - Part 1.mp4 17.9 MB
  • Chapter 6 Cloud Functions - Serverless and Event-Driven Applications/003. Lab - Deploy Python Application Using PubSub Triggers.mp4 17.7 MB
  • Chapter 9 Vertex AI - Machine Learning Framework/006. Lab - Model Training Flow Using Python SDK.mp4 16.9 MB
  • Chapter 4 Cloud Run - Serverless and Containerized Applications/003. Lab - Install Docker Engine.mp4 16.1 MB
  • Chapter 2 Modern-Day Cloud Concepts/002. Scalability - Horizontal Versus Vertical Scaling.mp4 16.1 MB
  • Chapter 3 Get Started with Google Cloud/001. Set Up GCP Trial Account.mp4 15.9 MB
  • Chapter 8 Dataproc Serverless PySpark/006. Introduction to Airflow.mp4 15.8 MB
  • Chapter 6 Cloud Functions - Serverless and Event-Driven Applications/004. Lab - Deploy Python Application Using HTTP Triggers.mp4 15.7 MB
  • Chapter 5 Google App Engine - For Serverless Applications/005. Lab - Traffic Splitting in App Engine.mp4 14.9 MB
  • Chapter 2 Modern-Day Cloud Concepts/005. Event-Driven Architecture.mp4 14.3 MB
  • Chapter 2 Modern-Day Cloud Concepts/004. Microservice Architecture.mp4 14.2 MB
  • Chapter 9 Vertex AI - Machine Learning Framework/009. Introduction to Kubeflow.mp4 13.5 MB
  • Chapter 5 Google App Engine - For Serverless Applications/009. Lab - Implement Caching Mechanism in Python Application - Part 2.mp4 13.0 MB
  • Chapter 10 Cloud Scheduler and Application Monitoring/005. Lab Assignment - Set Up Alerting for Cloud Function Applications.mp4 12.8 MB
  • Chapter 5 Google App Engine - For Serverless Applications/010. Lab - Assignment Implement Caching.mp4 12.7 MB
  • Chapter 9 Vertex AI - Machine Learning Framework/012. Lab - Final Pipeline Visualization Using Vertex UI and Walkthrough.mp4 11.7 MB
  • Chapter 5 Google App Engine - For Serverless Applications/007. Caching and Its Use Cases.mp4 11.5 MB
  • Chapter 7 Data Science Models with Google App Engine/001. Introduction to ML Model Lifecycle.mp4 9.7 MB
  • Chapter 6 Cloud Functions - Serverless and Event-Driven Applications/001. Introduction.mp4 9.0 MB
  • Chapter 4 Cloud Run - Serverless and Containerized Applications/002. Introduction to Dockers.mp4 8.9 MB
  • Chapter 1 Course Introduction and Prerequisites/001. Course Introduction and Section Walkthrough.mp4 8.7 MB
  • Chapter 8 Dataproc Serverless PySpark/001. Introduction.mp4 8.2 MB
  • Chapter 9 Vertex AI - Machine Learning Framework/005. Lab - Model Endpoint Deployment.mp4 8.1 MB
  • Chapter 7 Data Science Models with Google App Engine/002. Overview - Problem Statement.mp4 7.9 MB
  • Chapter 9 Vertex AI - Machine Learning Framework/002. Overview – Vertex AI UI.mp4 7.7 MB
  • Chapter 9 Vertex AI - Machine Learning Framework/015. Lab - Assignment Use Case - Fetch Data from BigQuery.mp4 7.6 MB
  • Chapter 6 Cloud Functions - Serverless and Event-Driven Applications/005. Introduction to Cloud Datastore.mp4 7.3 MB
  • Chapter 8 Dataproc Serverless PySpark/002. PySpark Serverless Autoscaling Properties.mp4 7.2 MB
  • Chapter 4 Cloud Run - Serverless and Containerized Applications/009. Introduction to Cloud Build.mp4 7.0 MB
  • Chapter 9 Vertex AI - Machine Learning Framework/001. Introduction.mp4 6.8 MB
  • Chapter 9 Vertex AI - Machine Learning Framework/016. Wrap Up.mp4 6.5 MB
  • Chapter 6 Cloud Functions - Serverless and Event-Driven Applications/006. Overview Product Wishlist Use Case.mp4 6.0 MB
  • Chapter 7 Data Science Models with Google App Engine/005. Overview - New Use Case.mp4 5.5 MB
  • Chapter 8 Dataproc Serverless PySpark/008. Wrap Up.mp4 5.0 MB
  • Chapter 5 Google App Engine - For Serverless Applications/001. Introduction to App Engine.mp4 4.0 MB
  • Chapter 10 Cloud Scheduler and Application Monitoring/001. Introduction to Cloud Scheduler.mp4 3.8 MB
  • Chapter 4 Cloud Run - Serverless and Containerized Applications/006. Introduction to Cloud Run.mp4 3.8 MB
  • Chapter 1 Course Introduction and Prerequisites/002. Course Prerequisites.mp4 3.5 MB
  • Chapter 5 Google App Engine - For Serverless Applications/002. App Engine - Different Environments.mp4 3.3 MB
  • Chapter 2 Modern-Day Cloud Concepts/001. Introduction.mp4 2.1 MB
  • Chapter 4 Cloud Run - Serverless and Containerized Applications/001. Section Introduction.mp4 1.3 MB
  • 0. Websites you may like/[CourseClub.Me].url 122 Bytes
  • Chapter 4 Cloud Run - Serverless and Containerized Applications/0. Websites you may like/[CourseClub.Me].url 122 Bytes
  • Chapter 4 Cloud Run - Serverless and Containerized Applications/[CourseClub.Me].url 122 Bytes
  • [CourseClub.Me].url 122 Bytes
  • 0. Websites you may like/[GigaCourse.Com].url 49 Bytes
  • Chapter 4 Cloud Run - Serverless and Containerized Applications/0. Websites you may like/[GigaCourse.Com].url 49 Bytes
  • Chapter 4 Cloud Run - Serverless and Containerized Applications/[GigaCourse.Com].url 49 Bytes
  • [GigaCourse.Com].url 49 Bytes

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