FreeCoursesOnline Me PacktPub Data Science Model Deployments and Cloud Computing on GCP

FreeCoursesOnline Me PacktPub Data Science Model Deployments and Cloud Computing on GCP

Name	[FreeCoursesOnline.Me] PacktPub - Data Science Model Deployments and Cloud Computing on GCP	DOWNLOAD Copy Link Trouble downloading? see How To
Total Size	1.8 GB
Total Files	82
Last Seen	2025-05-25 23:53
Hash	54C5ACD577FECD490F25350D1E2DEA673BE25C55

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/Chapter 1 Course Introduction and Prerequisites/
001. Course Introduction and Section Walkthrough.mp4	8.7 MB
002. Course Prerequisites.mp4	3.5 MB
/Chapter 10 Cloud Scheduler and Application Monitoring/
001. Introduction to Cloud Scheduler.mp4	3.8 MB
002. Lab - Cloud Scheduler in Action.mp4	20.8 MB
003. Lab - Set Up Alerting for Google App Engine Applications.mp4	35.9 MB
004. Lab - Set Up Alerting for Cloud-Run Applications.mp4	30.1 MB
005. Lab Assignment - Set Up Alerting for Cloud Function Applications.mp4	12.8 MB
/Chapter 2 Modern-Day Cloud Concepts/
001. Introduction.mp4	2.1 MB
002. Scalability - Horizontal Versus Vertical Scaling.mp4	16.1 MB
003. Serverless Versus Servers and Containerization.mp4	33.3 MB
004. Microservice Architecture.mp4	14.2 MB
005. Event-Driven Architecture.mp4	14.3 MB
/Chapter 3 Get Started with Google Cloud/
001. Set Up GCP Trial Account.mp4	15.9 MB
002. Google Cloud CLI Setup.mp4	19.3 MB
003. Get Comfortable with Basics of gcloud CLI.mp4	40.1 MB
004. gsutil and Bash Command Basics.mp4	39.0 MB
/Chapter 4 Cloud Run - Serverless and Containerized Applications/
001. Section Introduction.mp4	1.3 MB
002. Introduction to Dockers.mp4	8.9 MB
003. Lab - Install Docker Engine.mp4	16.1 MB
004. Lab - Run Docker Locally.mp4	24.8 MB
005. Lab - Run and Ship Applications Using the Container Registry.mp4	54.6 MB
006. Introduction to Cloud Run.mp4	3.8 MB
007. Lab - Deploy Python Application to Cloud Run.mp4	46.1 MB
008. Cloud Run Application Scalability Parameters.mp4	25.0 MB
009. Introduction to Cloud Build.mp4	7.0 MB
010. Lab - Python Application Deployment Using Cloud Build.mp4	40.0 MB
011. Lab - Continuous Deployment Using Cloud Build and GitHub.mp4	46.6 MB
/Chapter 5 Google App Engine - For Serverless Applications/
001. Introduction to App Engine.mp4	4.0 MB
002. App Engine - Different Environments.mp4	3.3 MB
003. Lab - Deploy Python Application to App Engine - Part 1.mp4	17.9 MB
004. Lab - Deploy Python Application to App Engine - Part 2.mp4	23.2 MB
005. Lab - Traffic Splitting in App Engine.mp4	14.9 MB
006. Lab - Deploy Python - BigQuery Application.mp4	27.9 MB
007. Caching and Its Use Cases.mp4	11.5 MB
008. Lab - Implement Caching Mechanism in Python Application - Part 1.mp4	45.8 MB
009. Lab - Implement Caching Mechanism in Python Application - Part 2.mp4	13.0 MB
010. Lab - Assignment Implement Caching.mp4	12.7 MB
011. Lab - Python App Deployment in a Flexible Environment.mp4	19.7 MB
012. Lab - Scalability and Instance Types in App Engine.mp4	38.7 MB
/Chapter 6 Cloud Functions - Serverless and Event-Driven Applications/
001. Introduction.mp4	9.0 MB
002. Lab - Deploy Python Application Using Cloud Storage Triggers.mp4	54.8 MB
003. Lab - Deploy Python Application Using PubSub Triggers.mp4	17.7 MB
004. Lab - Deploy Python Application Using HTTP Triggers.mp4	15.7 MB
005. Introduction to Cloud Datastore.mp4	7.3 MB
006. Overview Product Wishlist Use Case.mp4	6.0 MB
007. Lab – Use Case Deployment - Part-1.mp4	47.2 MB
008. Lab – Use Case Deployment - Part-2.mp4	25.4 MB
/Chapter 7 Data Science Models with Google App Engine/
001. Introduction to ML Model Lifecycle.mp4	9.7 MB
002. Overview - Problem Statement.mp4	7.9 MB
003. Lab - Deploy Training Code to App Engine.mp4	53.9 MB
004. Lab - Deploy Model Serving Code to App Engine.mp4	27.9 MB
005. Overview - New Use Case.mp4	5.5 MB
006. Lab - Data Validation Using App Engine.mp4	39.9 MB
007. Lab - Workflow Template Introduction.mp4	27.7 MB
008. Lab - Final Solution Deployment Using Workflow and App Engine.mp4	63.0 MB
/Chapter 8 Dataproc Serverless PySpark/
001. Introduction.mp4	8.2 MB
002. PySpark Serverless Autoscaling Properties.mp4	7.2 MB
003. Persistent History Cluster.mp4	29.7 MB
004. Lab - Develop and Submit PySpark Job.mp4	37.0 MB
005. Lab - Monitoring and Spark UI.mp4	19.2 MB
006. Introduction to Airflow.mp4	15.8 MB
007. Lab - Airflow with Serverless PySpark.mp4	55.6 MB
008. Wrap Up.mp4	5.0 MB
/Chapter 9 Vertex AI - Machine Learning Framework/
001. Introduction.mp4	6.8 MB
002. Overview – Vertex AI UI.mp4	7.7 MB
003. Lab - Custom Model Training Using Web Console.mp4	59.7 MB
004. Lab - Custom Model Training Using SDK and Model Registries.mp4	43.5 MB
005. Lab - Model Endpoint Deployment.mp4	8.1 MB
006. Lab - Model Training Flow Using Python SDK.mp4	16.9 MB
007. Lab - Model Deployment Flow Using Python SDK.mp4	63.2 MB
008. Lab - Model Serving Using Endpoint with Python SDK.mp4	35.7 MB
009. Introduction to Kubeflow.mp4	13.5 MB
010. Lab - Code Walkthrough Using Kubeflow and Python.mp4	42.3 MB
011. Lab - Pipeline Execution in Kubeflow.mp4	31.6 MB
012. Lab - Final Pipeline Visualization Using Vertex UI and Walkthrough.mp4	11.7 MB
013. Lab - Add Model Evaluation Step in Kubeflow before Deployment.mp4	37.7 MB
014. Lab - Reusing Configuration Files for Pipeline Execution and Training.mp4	29.1 MB
015. Lab - Assignment Use Case - Fetch Data from BigQuery.mp4	7.6 MB
016. Wrap Up.mp4	6.5 MB
/
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Total files 82