Download PacktPub | Data Science Model Deployments and Cloud Computing on GCP [Video] Torrent

PacktPub | Data Science Model Deployments and Cloud Computing on GCP [Video]

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Chapter 1 Course Introduction and Prerequisites

	001. Course Introduction and Section Walkthrough.mp4	MP4	8.34 MB
	002. Course Prerequisites.mp4	MP4	3.29 MB

Chapter 10 Cloud Scheduler and Application Monitoring

001. Introduction to Cloud Scheduler.mp4	MP4	3.63 MB
002. Lab - Cloud Scheduler in Action.mp4	MP4	19.88 MB
003. Lab - Set Up Alerting for Google App Engine Applications.mp4	MP4	34.26 MB
004. Lab - Set Up Alerting for Cloud-Run Applications.mp4	MP4	28.7 MB
005. Lab Assignment - Set Up Alerting for Cloud Function Applications.mp4	MP4	12.17 MB

Chapter 2 Modern-Day Cloud Concepts

001. Introduction.mp4	MP4	2.02 MB
002. Scalability - Horizontal Versus Vertical Scaling.mp4	MP4	15.32 MB
003. Serverless Versus Servers and Containerization.mp4	MP4	31.72 MB
004. Microservice Architecture.mp4	MP4	13.5 MB
005. Event-Driven Architecture.mp4	MP4	13.66 MB

Chapter 3 Get Started with Google Cloud

001. Set Up GCP Trial Account.mp4	MP4	15.16 MB
002. Google Cloud CLI Setup.mp4	MP4	18.37 MB
003. Get Comfortable with Basics of gcloud CLI.mp4	MP4	38.27 MB
004. gsutil and Bash Command Basics.mp4	MP4	37.21 MB

Chapter 4 Cloud Run - Serverless and Containerized Applications

001. Section Introduction.mp4	MP4	1.26 MB
002. Introduction to Dockers.mp4	MP4	8.48 MB
003. Lab - Install Docker Engine.mp4	MP4	15.36 MB
004. Lab - Run Docker Locally.mp4	MP4	23.68 MB
005. Lab - Run and Ship Applications Using the Container Registry.mp4	MP4	52.03 MB
006. Introduction to Cloud Run.mp4	MP4	3.61 MB
007. Lab - Deploy Python Application to Cloud Run.mp4	MP4	43.96 MB
008. Cloud Run Application Scalability Parameters.mp4	MP4	23.88 MB
009. Introduction to Cloud Build.mp4	MP4	6.71 MB
010. Lab - Python Application Deployment Using Cloud Build.mp4	MP4	38.12 MB
011. Lab - Continuous Deployment Using Cloud Build and GitHub.mp4	MP4	44.42 MB

Chapter 5 Google App Engine - For Serverless Applications

001. Introduction to App Engine.mp4	MP4	3.77 MB
002. App Engine - Different Environments.mp4	MP4	3.17 MB
003. Lab - Deploy Python Application to App Engine - Part 1.mp4	MP4	17.11 MB
004. Lab - Deploy Python Application to App Engine - Part 2.mp4	MP4	22.16 MB
005. Lab - Traffic Splitting in App Engine.mp4	MP4	14.18 MB
006. Lab - Deploy Python - BigQuery Application.mp4	MP4	26.62 MB
007. Caching and Its Use Cases.mp4	MP4	10.92 MB
008. Lab - Implement Caching Mechanism in Python Application - Part 1.mp4	MP4	43.71 MB
009. Lab - Implement Caching Mechanism in Python Application - Part 2.mp4	MP4	12.39 MB
010. Lab - Assignment Implement Caching.mp4	MP4	12.15 MB
011. Lab - Python App Deployment in a Flexible Environment.mp4	MP4	18.82 MB
012. Lab - Scalability and Instance Types in App Engine.mp4	MP4	36.94 MB

Chapter 6 Cloud Functions - Serverless and Event-Driven Applications

001. Introduction.mp4	MP4	8.56 MB
002. Lab - Deploy Python Application Using Cloud Storage Triggers.mp4	MP4	52.22 MB
003. Lab - Deploy Python Application Using PubSub Triggers.mp4	MP4	16.87 MB
004. Lab - Deploy Python Application Using HTTP Triggers.mp4	MP4	14.98 MB
005. Introduction to Cloud Datastore.mp4	MP4	6.92 MB
006. Overview Product Wishlist Use Case.mp4	MP4	5.74 MB
007. Lab – Use Case Deployment - Part-1.mp4	MP4	45.03 MB
008. Lab – Use Case Deployment - Part-2.mp4	MP4	24.18 MB

Chapter 7 Data Science Models with Google App Engine

001. Introduction to ML Model Lifecycle.mp4	MP4	9.25 MB
002. Overview - Problem Statement.mp4	MP4	7.51 MB
003. Lab - Deploy Training Code to App Engine.mp4	MP4	51.43 MB
004. Lab - Deploy Model Serving Code to App Engine.mp4	MP4	26.64 MB
005. Overview - New Use Case.mp4	MP4	5.25 MB
006. Lab - Data Validation Using App Engine.mp4	MP4	38.05 MB
007. Lab - Workflow Template Introduction.mp4	MP4	26.37 MB
008. Lab - Final Solution Deployment Using Workflow and App Engine.mp4	MP4	60.07 MB

Chapter 8 Dataproc Serverless PySpark

001. Introduction.mp4	MP4	7.86 MB
002. PySpark Serverless Autoscaling Properties.mp4	MP4	6.83 MB
003. Persistent History Cluster.mp4	MP4	28.33 MB
004. Lab - Develop and Submit PySpark Job.mp4	MP4	35.26 MB
005. Lab - Monitoring and Spark UI.mp4	MP4	18.35 MB
006. Introduction to Airflow.mp4	MP4	15.07 MB
007. Lab - Airflow with Serverless PySpark.mp4	MP4	53.06 MB
008. Wrap Up.mp4	MP4	4.8 MB

Chapter 9 Vertex AI - Machine Learning Framework

001. Introduction.mp4	MP4	6.45 MB
002. Overview – Vertex AI UI.mp4	MP4	7.35 MB
003. Lab - Custom Model Training Using Web Console.mp4	MP4	56.92 MB
004. Lab - Custom Model Training Using SDK and Model Registries.mp4	MP4	41.47 MB
005. Lab - Model Endpoint Deployment.mp4	MP4	7.73 MB
006. Lab - Model Training Flow Using Python SDK.mp4	MP4	16.08 MB
007. Lab - Model Deployment Flow Using Python SDK.mp4	MP4	60.28 MB
008. Lab - Model Serving Using Endpoint with Python SDK.mp4	MP4	34.03 MB
009. Introduction to Kubeflow.mp4	MP4	12.89 MB
010. Lab - Code Walkthrough Using Kubeflow and Python.mp4	MP4	40.29 MB
011. Lab - Pipeline Execution in Kubeflow.mp4	MP4	30.17 MB
012. Lab - Final Pipeline Visualization Using Vertex UI and Walkthrough.mp4	MP4	11.17 MB
013. Lab - Add Model Evaluation Step in Kubeflow before Deployment.mp4	MP4	35.94 MB
014. Lab - Reusing Configuration Files for Pipeline Execution and Training.mp4	MP4	27.78 MB
015. Lab - Assignment Use Case - Fetch Data from BigQuery.mp4	MP4	7.23 MB
016. Wrap Up.mp4	MP4	6.15 MB

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PacktPub | Data Science Model Deployments and Cloud Computing on GCP [Video]

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