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- GCP Course Introduction
- Course Structure Outline
- GCP Associate Cloud Engineer Exam Blue Print
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Google Cloud Platform MasterClass - GCP Live Projects
Quick Facts
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Medium of instructions
English
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Mode of learning
Self study
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Mode of Delivery
Video and Text Based
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Course overview
Google Cloud Platform MasterClass - GCP Live Projects Certification Course is meant to provide the learners with an insight on the Google Cloud Platform and guide them to prepare and attain all 4 GCP (Google Cloud Platform) certifications i.e Google Cloud Associate Cloud Engineer, Google Cloud Professional Cloud Architect, Google Cloud Professional Security Engineer and Google Cloud Professional Cloud Data Engineer. In the Google Cloud Platform MasterClass - GCP Live Projects Certification Online Course, the learners will go through the various concepts including GCP architecture, application deployment, networking, databases and the like along with practical exposure and hands-on knowledge.
Google Cloud Platform MasterClass - GCP Live Projects Certification Programme, the online training by Udemy, will coach the candidates on the all ability the Google Cloud Certified - Professional Cloud Architect test evaluates such as designing a GCP solution architecture, optimizing the technical and business processes and the like.
The highlights
- Online course
- Downloadable resources
- Full lifetime access
- Access on mobile and TV
- Certificate of completion
- English videos
- 30-Day Money-Back Guarantee
Program offerings
- 31 hours on-demand video
- 30 articles
- 113 downloadable resources
- Full lifetime access
- Access on mobile and tv
- Certificate of completion
- English videos
Course and certificate fees
Fees information
₹ 499 ₹3,499
certificate availability
Yes
certificate providing authority
Udemy
Who it is for
What you will learn
By the end of Google Cloud Platform MasterClass - GCP Live Projects Certification Online Programme, the candidates will have the opportunity to learn Google Cloud Platform, Google Cloud Storage, Data LifeCycle, machine learning, DataProc, DatFlow in Google Cloud, VPC in GCP and much more.
The syllabus
Course Introduction
Introducing Google Cloud Platform
- Google Cloud Platform Context
- What is Cloud Computing
- GCP Services Overview
- Google Network Infrastructure
- GCP Regions & Zones
- GCP User Friendly Pricing
Google Cloud Account SetUp
- Create Free Tier GCP Account
- Google Cloud Web Console
- Bonus : Jenkins Master Class Course
Google Cloud Shell
- Interact with Google Cloud
- Demo : Google Cloud Shell
- Google Market Place Overview
- Demo : Market Place with Deployment Manager
- The Google Cloud Platform resource hierarchy
Google Cloud Compute Engine
- About this Section
- Google Compute Engine
- Lab : Create Google Virtual Machine
- Lab : Edit Running Compute Engine
- Lab: Create Custom Machine in GCP
- Lab: Submit StartUp Script | Execute Tomcat on Compute Engine
- Source Code Repository for this Course
- Lab: Create VM using Command Line
- Kubernetes & Google Kubernetes Engine
- Docker & Kubernetes Complete Course
- GKE : Google Kubernetes Engine
- Google Kubernetes Engine Lab 1
- Google Kubernetes Engine Lab 2
- Text Direction : Google Kubernetes Lab
- App Engine In Google Cloud
- App Engine Standard Environment
- App Engine Flexible Environment
- Standard vs Flexible Environment
Disks on Google Compute Engine
- Disks in Compute Engine
- Hands On : Disk I
- Hands On : Disk II
- Hands On : Disk III
- Hands On : Disk IV
- SnapShots
- Hands On : Snapshot
Google Cloud Storage
- About this Section
- Storage Options Overview
- Cloud Storage in GCP
- Interact with Cloud Storage
- Lab : Working with Cloud Storage Buckets
- Lab : Create Bucket & Data using CLI
- Lab : Execute Application and Create Data in Cloud Storage
- Transfer Services in GCP
- Lab : Transfer Service in GCP
- Lab : SetUp Cloud Storage SetUp for CLI
- Text Direction : Lab SetUp Cloud Storage SetUp for CLI
- Lab : Custom Encryption key in Cloud Storage
Managed Database Service in GCP
- Manage Database Overview
- Manage Database on GCP
Architect Relational DataBase(RDBMS) In GCP
- About this Section
- Understanding of Cloud SQL & Cloud Spanner
- Lab : Create Cloud SQL DB
- Lab : Execute Cloud SQL DB
- Text Direction : Execute Cloud SQL DB
- Lab : Bulk Load in Cloud SQL DB
- Lab : Demo on Cloud Spanner
Virtual Private Cloud (VPC) Network in GCP
- About this Section
- VPC in GCP Intro
- Global Network and Subnets
- Role of IP Addresses In GCP
- Lab : VPC IPs Distribution
- Routes in VPC
- Firewalls in VPC
- Firewall Rules Logging in GCP
- Lab : Network Firewalls in GCP
- Lab : VPC Network in GCP
- Interconnecting Networks in GCP
- Lab : Cloud VPN & VPN Tunnels
- Text Direction : Cloud VPN & VPN Tunnels Lab
- Function of Cloud Router
- Lab : Cloud Routers for Routing in GCP
- Shared VPC in GCP
Instance Management & Load Balancing in GCP
- About the Section
- Instance Templates of Compute Engine
- Lab : Create Instance Template & Instances
- Dive in Instance Groups
- Lab : Manage Instance Groups
- Help : Load Balancers in GCP
- Load Balancers in GCP
- HTTP/HTTPS Load Balancer
- Components of HTTPS Load Balancer
- Lab - HTTPS Load Balancing
- Bonus : Kubernetes MasterClass Course
Google Cloud Monitoring and Logging
- StackDriver Introduction
- StackDriver Monitoring Concepts
- StackDriver Logging Concepts
- Lab : StackDriver Monitoring
- Lab : StackDriver Monitoring Alerts
- Deployment Manager in GCP
- Lab - Deployment Manager Hands-On
- Lab - Create Multiple Services & Update Deployment Manager
- Text Direction : Lab - Deployment Manager Hands-On
Google Cloud Access and Identity Management
- Familiarity with Cloud IAM Part I
- Familiarity with Cloud IAM Part II
- Cloud IAM : Members (Obsolete)
- Cloud IAM : Roles (Obsolete)
- Cloud IAM : Policies
- Cloud IAM : Service Accounts
- Demo : Service Account
- Cloud IAM : Best Practices
- Lab : Cloud IAM
Google Virtual Machine and Images
- About the Section
- Live Migration in GCP
- GCP VM Type
- Lab: GCP VM Type
- Billing Model for Machine Types
- Google Images
- Lab : Create Custom Image and Use It
- Custom Images vs Start-Up Scripts
Compute Services Overview
- Where Should I Run My Application I
- Where Should I Run My Application II
Google Cloud BigTable
- About this Section
- GCP BigTable Introduction
- BigTable Model & Architecture
- Columnar DataBase
- BigTable Performance
- Lab : BigTable
- Text Direction : Lab BigTable
Google Cloud DataStore
- DataStore Introduction & Application
- FireStore Native vs DataStore Mode
- Lab : DataStore
- Bonus : Selenium UI Automation MasterClass
Google Cloud BigQuery
- About this Section
- BigQuery Introduction
- BigQuery Application
- Case Study : When to Use BigQuery
- Lab : BigQuery on CSV Data Handling
- Text Direction : Lab CSV Data Handling in BigQuery
- Lab : JSON Data Handling in BigQuery
- Text Direction : Lab - JSON Data Handling in BigQuery
- Lab : Practice DataSet in BigQuery
- Lab : BigQuery via CLI
- Text Direction : Lab - BigQuery via CLI
- Lab : WikiData in BigQuery
- Text Direction : Lab - WikiData in BigQuery
DataFlow in Google Cloud
- DatFlow Introduction
- Apache Beam
- Lab : Running Python DataFlow
- Text Direction: Running Python DataFlow
- Lab : Running DataFlow using Java
- Lab : Running DataFlow using Java Part 2
DataProc in Google Cloud
- DataProc Intro and Application
- Lab : Create DataProc Cluster
- Lab : Access Cloud DataProc from Local/Cloud Machine
- Lab : Running a PySpark Job on DataProc
- Lab : Provision DataProc Cluster with Command Line
- Text Direction : Lab - Provision DataProc Cluster with Command Line
Pub/Sub for Data Streaming in Google Cloud
- Pub/Sub Introduction and Applications
- Lab : Working on Pub/Sub
- Lab : Pub/Sub using CLI
- Text Direction : Lab - Pub/Sub using CLI
- Lab : Setting Up Pub/Sub Using Python
- Text Direction : Lab - Setting Up Pub/Sub Using Python
GCP Professional Cloud Architect - Starts Here
- Role of a Google Cloud Architect
- GCP Professional Architect Exam Blue Print
- Cloud Resource Manager7 lectures • 44min
- Management Services
- GCP Resource Hierarchy
- Demo : Project ID & Project Name
- Labels in GCP
- Demo : Labels in GCP
- Resource Quotas
- Demo : Resource Quotas
Concept of GCP Billing
- Billing Overview
- Demo : Billing Overview
- Demo : Export Billing and BigQuery Result Data
Operations in GCP
- GCP Operations Overview
- Cloud Logging Concepts
- Hands On : Cloud Logging I
- Hands On : Cloud Logging II
- Cloud Monitoring
- Demo : Cloud Monitoring
- Demo : Cloud Monitoring II
- Demo : Cloud Monitoring III - Uptime Check
- Demo : Cloud Monitoring IV - Monitoring Alerts
- Trace | Error Reporting | Debug Tools
- Demo : Trace | Error Reporting | Debug Tools
- Demo : Trace | Error Reporting | Debug Tools II
Big Data, Machine Learning, and Data Lifecycle
- Google BigData Services I
- Google BigData Services II
- Data LifeCycle
Planning Your Cloud Transition
- Making the Case for Cloud and GCP
- Cost Optimization
- Architecting Cloud Application
Migrating to Google Cloud
- Planning a Successful Cloud Migration
- Planning a Successful Cloud Migration II
- Storage Transfer Service
- Data Migration Best Practice
Cloud Resource Manager
- Management Services
- GCP Resource Hierarchy
- Demo : Project ID & Project Name
- Labels in GCP
- Demo : Labels in GCP
- Resource Quotas
- Demo : Resource Quotas
Resilient Cloud Solution Infrastructure
- Disaster Recovery of Application
- BackUp and Recovery Method
Thank You Note & Bonus
- Bonus Lectures
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