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