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

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File size：1.71 GB
Time：2025-08-12
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Related ：CourseClub PacktPub Data Science Model Deployments Cloud Computing

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Chapter 9 Vertex AI - Machine Learning Framework/007. Lab - Model Deployment Flow Using Python SDK.mp4-60.28 MB
Chapter 7 Data Science Models with Google App Engine/008. Lab - Final Solution Deployment Using Workflow and App Engine.mp4-60.07 MB
Chapter 9 Vertex AI - Machine Learning Framework/003. Lab - Custom Model Training Using Web Console.mp4-56.92 MB
Chapter 8 Dataproc Serverless PySpark/007. Lab - Airflow with Serverless PySpark.mp4-53.06 MB
Chapter 6 Cloud Functions - Serverless and Event-Driven Applications/002. Lab - Deploy Python Application Using Cloud Storage Triggers.mp4-52.22 MB
Chapter 4 Cloud Run - Serverless and Containerized Applications/005. Lab - Run and Ship Applications Using the Container Registry.mp4-52.03 MB
Chapter 7 Data Science Models with Google App Engine/003. Lab - Deploy Training Code to App Engine.mp4-51.43 MB
Chapter 6 Cloud Functions - Serverless and Event-Driven Applications/007. Lab – Use Case Deployment - Part-1.mp4-45.03 MB
Chapter 4 Cloud Run - Serverless and Containerized Applications/011. Lab - Continuous Deployment Using Cloud Build and GitHub.mp4-44.42 MB
Chapter 4 Cloud Run - Serverless and Containerized Applications/007. Lab - Deploy Python Application to Cloud Run.mp4-43.96 MB
Chapter 5 Google App Engine - For Serverless Applications/008. Lab - Implement Caching Mechanism in Python Application - Part 1.mp4-43.71 MB
Chapter 9 Vertex AI - Machine Learning Framework/004. Lab - Custom Model Training Using SDK and Model Registries.mp4-41.47 MB
Chapter 9 Vertex AI - Machine Learning Framework/010. Lab - Code Walkthrough Using Kubeflow and Python.mp4-40.29 MB
Chapter 3 Get Started with Google Cloud/003. Get Comfortable with Basics of gcloud CLI.mp4-38.27 MB
Chapter 4 Cloud Run - Serverless and Containerized Applications/010. Lab - Python Application Deployment Using Cloud Build.mp4-38.12 MB
Chapter 7 Data Science Models with Google App Engine/006. Lab - Data Validation Using App Engine.mp4-38.05 MB
Chapter 3 Get Started with Google Cloud/004. gsutil and Bash Command Basics.mp4-37.21 MB
Chapter 5 Google App Engine - For Serverless Applications/012. Lab - Scalability and Instance Types in App Engine.mp4-36.94 MB
Chapter 9 Vertex AI - Machine Learning Framework/013. Lab - Add Model Evaluation Step in Kubeflow before Deployment.mp4-35.94 MB
Chapter 8 Dataproc Serverless PySpark/004. Lab - Develop and Submit PySpark Job.mp4-35.26 MB
Chapter 10 Cloud Scheduler and Application Monitoring/003. Lab - Set Up Alerting for Google App Engine Applications.mp4-34.26 MB
Chapter 9 Vertex AI - Machine Learning Framework/008. Lab - Model Serving Using Endpoint with Python SDK.mp4-34.03 MB
Chapter 2 Modern-Day Cloud Concepts/003. Serverless Versus Servers and Containerization.mp4-31.72 MB
Chapter 9 Vertex AI - Machine Learning Framework/011. Lab - Pipeline Execution in Kubeflow.mp4-30.17 MB
Chapter 10 Cloud Scheduler and Application Monitoring/004. Lab - Set Up Alerting for Cloud-Run Applications.mp4-28.7 MB
Chapter 8 Dataproc Serverless PySpark/003. Persistent History Cluster.mp4-28.33 MB
Chapter 9 Vertex AI - Machine Learning Framework/014. Lab - Reusing Configuration Files for Pipeline Execution and Training.mp4-27.78 MB
Chapter 7 Data Science Models with Google App Engine/004. Lab - Deploy Model Serving Code to App Engine.mp4-26.64 MB
Chapter 5 Google App Engine - For Serverless Applications/006. Lab - Deploy Python - BigQuery Application.mp4-26.62 MB
Chapter 7 Data Science Models with Google App Engine/007. Lab - Workflow Template Introduction.mp4-26.37 MB
Chapter 6 Cloud Functions - Serverless and Event-Driven Applications/008. Lab – Use Case Deployment - Part-2.mp4-24.18 MB
Chapter 4 Cloud Run - Serverless and Containerized Applications/008. Cloud Run Application Scalability Parameters.mp4-23.88 MB
Chapter 4 Cloud Run - Serverless and Containerized Applications/004. Lab - Run Docker Locally.mp4-23.68 MB
Chapter 5 Google App Engine - For Serverless Applications/004. Lab - Deploy Python Application to App Engine - Part 2.mp4-22.16 MB
Chapter 10 Cloud Scheduler and Application Monitoring/002. Lab - Cloud Scheduler in Action.mp4-19.88 MB
Chapter 5 Google App Engine - For Serverless Applications/011. Lab - Python App Deployment in a Flexible Environment.mp4-18.82 MB
Chapter 3 Get Started with Google Cloud/002. Google Cloud CLI Setup.mp4-18.37 MB
Chapter 8 Dataproc Serverless PySpark/005. Lab - Monitoring and Spark UI.mp4-18.35 MB
Chapter 5 Google App Engine - For Serverless Applications/003. Lab - Deploy Python Application to App Engine - Part 1.mp4-17.11 MB
Chapter 6 Cloud Functions - Serverless and Event-Driven Applications/003. Lab - Deploy Python Application Using PubSub Triggers.mp4-16.87 MB
Chapter 9 Vertex AI - Machine Learning Framework/006. Lab - Model Training Flow Using Python SDK.mp4-16.08 MB
Chapter 4 Cloud Run - Serverless and Containerized Applications/003. Lab - Install Docker Engine.mp4-15.36 MB
Chapter 2 Modern-Day Cloud Concepts/002. Scalability - Horizontal Versus Vertical Scaling.mp4-15.32 MB
Chapter 3 Get Started with Google Cloud/001. Set Up GCP Trial Account.mp4-15.16 MB
Chapter 8 Dataproc Serverless PySpark/006. Introduction to Airflow.mp4-15.07 MB
Chapter 6 Cloud Functions - Serverless and Event-Driven Applications/004. Lab - Deploy Python Application Using HTTP Triggers.mp4-14.98 MB
Chapter 5 Google App Engine - For Serverless Applications/005. Lab - Traffic Splitting in App Engine.mp4-14.18 MB
Chapter 2 Modern-Day Cloud Concepts/005. Event-Driven Architecture.mp4-13.66 MB
Chapter 2 Modern-Day Cloud Concepts/004. Microservice Architecture.mp4-13.5 MB
Chapter 9 Vertex AI - Machine Learning Framework/009. Introduction to Kubeflow.mp4-12.89 MB