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Data Science Model Deployments and Cloud Computing on GCP

Category: Courses / Others
Author: AD-TEAM
Date added: 02.07.2023 :10:25
Views: 5
Comments: 0










Description material

Data Science Model Deployments and Cloud Computing on GCP


Data Science Model Deployments and Cloud Computing on GCP
Language: English | Size:1.71 GB
Genre:eLearning


Files Included :

001 Course Introduction and Section Walkthrough.mp4 (8.34 MB)
MP4
002 Course Prerequisites.mp4 (3.29 MB)
MP4
001 Introduction to Cloud Scheduler.mp4 (3.63 MB)
MP4
002 Lab - Cloud Scheduler in Action.mp4 (19.88 MB)
MP4
003 Lab - Set Up Alerting for Google App Engine Applications.mp4 (34.26 MB)
MP4
004 Lab - Set Up Alerting for Cloud-Run Applications.mp4 (28.7 MB)
MP4
005 Lab Assignment - Set Up Alerting for Cloud Function Applications.mp4 (12.17 MB)
MP4
001 Introduction.mp4 (2.02 MB)
MP4
002 Scalability - Horizontal Versus Vertical Scaling.mp4 (15.32 MB)
MP4
003 Serverless Versus Servers and Containerization.mp4 (31.72 MB)
MP4
004 Microservice Architecture.mp4 (13.5 MB)
MP4
005 Event-Driven Architecture.mp4 (13.66 MB)
MP4
001 Set Up GCP Trial Account.mp4 (15.16 MB)
MP4
002 Google Cloud CLI Setup.mp4 (18.37 MB)
MP4
003 Get Comfortable with Basics of gcloud CLI.mp4 (38.27 MB)
MP4
004 gsutil and Bash Command Basics.mp4 (37.21 MB)
MP4
001 Section Introduction.mp4 (1.26 MB)
MP4
002 Introduction to Dockers.mp4 (8.48 MB)
MP4
003 Lab - Install Docker Engine.mp4 (15.36 MB)
MP4
004 Lab - Run Docker Locally.mp4 (23.68 MB)
MP4
005 Lab - Run and Ship Applications Using the Container Registry.mp4 (52.03 MB)
MP4
006 Introduction to Cloud Run.mp4 (3.61 MB)
MP4
007 Lab - Deploy Python Application to Cloud Run.mp4 (43.96 MB)
MP4
008 Cloud Run Application Scalability Parameters.mp4 (23.88 MB)
MP4
009 Introduction to Cloud Build.mp4 (6.71 MB)
MP4
010 Lab - Python Application Deployment Using Cloud Build.mp4 (38.12 MB)
MP4
011 Lab - Continuous Deployment Using Cloud Build and GitHub.mp4 (44.42 MB)
MP4
001 Introduction to App Engine.mp4 (3.77 MB)
MP4
002 App Engine - Different Environments.mp4 (3.17 MB)
MP4
003 Lab - Deploy Python Application to App Engine - Part 1.mp4 (17.11 MB)
MP4
004 Lab - Deploy Python Application to App Engine - Part 2.mp4 (22.16 MB)
MP4
005 Lab - Traffic Splitting in App Engine.mp4 (14.18 MB)
MP4
006 Lab - Deploy Python - BigQuery Application.mp4 (26.62 MB)
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007 Caching and Its Use Cases.mp4 (10.92 MB)
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008 Lab - Implement Caching Mechanism in Python Application - Part 1.mp4 (43.71 MB)
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009 Lab - Implement Caching Mechanism in Python Application - Part 2.mp4 (12.39 MB)
MP4
010 Lab - Assignment Implement Caching.mp4 (12.15 MB)
MP4
011 Lab - Python App Deployment in a Flexible Environment.mp4 (18.82 MB)
MP4
012 Lab - Scalability and Instance Types in App Engine.mp4 (36.94 MB)
MP4
001 Introduction.mp4 (8.56 MB)
MP4
002 Lab - Deploy Python Application Using Cloud Storage Triggers.mp4 (52.22 MB)
MP4
003 Lab - Deploy Python Application Using PubSub Triggers.mp4 (16.87 MB)
MP4
004 Lab - Deploy Python Application Using HTTP Triggers.mp4 (14.98 MB)
MP4
005 Introduction to Cloud Datastore.mp4 (6.92 MB)
MP4
006 Overview Product Wishlist Use Case.mp4 (5.74 MB)
MP4
007 Lab – Use Case Deployment - Part-1.mp4 (45.03 MB)
MP4
008 Lab – Use Case Deployment - Part-2.mp4 (24.18 MB)
MP4
001 Introduction to ML Model Lifecycle.mp4 (9.25 MB)
MP4
002 Overview - Problem Statement.mp4 (7.51 MB)
MP4
003 Lab - Deploy Training Code to App Engine.mp4 (51.43 MB)
MP4
004 Lab - Deploy Model Serving Code to App Engine.mp4 (26.64 MB)
MP4
005 Overview - New Use Case.mp4 (5.25 MB)
MP4
006 Lab - Data Validation Using App Engine.mp4 (38.05 MB)
MP4
007 Lab - Workflow Template Introduction.mp4 (26.37 MB)
MP4
008 Lab - Final Solution Deployment Using Workflow and App Engine.mp4 (60.07 MB)
MP4
001 Introduction.mp4 (7.86 MB)
MP4
002 PySpark Serverless Autoscaling Properties.mp4 (6.83 MB)
MP4
003 Persistent History Cluster.mp4 (28.33 MB)
MP4
004 Lab - Develop and Submit PySpark Job.mp4 (35.26 MB)
MP4
005 Lab - Monitoring and Spark UI.mp4 (18.35 MB)
MP4
006 Introduction to Airflow.mp4 (15.07 MB)
MP4
007 Lab - Airflow with Serverless PySpark.mp4 (53.06 MB)
MP4
008 Wrap Up.mp4 (4.8 MB)
MP4
001 Introduction.mp4 (6.45 MB)
MP4
002 Overview – Vertex AI UI.mp4 (7.35 MB)
MP4
003 Lab - Custom Model Training Using Web Console.mp4 (56.92 MB)
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004 Lab - Custom Model Training Using SDK and Model Registries.mp4 (41.47 MB)
MP4
005 Lab - Model Endpoint Deployment.mp4 (7.73 MB)
MP4
006 Lab - Model Training Flow Using Python SDK.mp4 (16.08 MB)
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007 Lab - Model Deployment Flow Using Python SDK.mp4 (60.28 MB)
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008 Lab - Model Serving Using Endpoint with Python SDK.mp4 (34.03 MB)
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009 Introduction to Kubeflow.mp4 (12.89 MB)
MP4
010 Lab - Code Walkthrough Using Kubeflow and Python.mp4 (40.29 MB)
MP4
011 Lab - Pipeline Execution in Kubeflow.mp4 (30.17 MB)
MP4
012 Lab - Final Pipeline Visualization Using Vertex UI and Walkthrough.mp4 (11.17 MB)
MP4
013 Lab - Add Model Evaluation Step in Kubeflow before Deployment.mp4 (35.94 MB)
MP4
014 Lab - Reusing Configuration Files for Pipeline Execution and Training.mp4 (27.78 MB)
MP4
015 Lab - Assignment Use Case - Fetch Data from BigQuery.mp4 (7.23 MB)
MP4
016 Wrap Up.mp4 (6.15 MB)
MP4






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