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Fee
The syllabus
Articles
Fee
The syllabus
Articles
Home
Mindmajix Technologies
Courses
Google Cloud Training
Google Cloud Training
BY
Mindmajix Technologies
Brochure
Enquire
Online
43 Hours
₹ 8800
11000
Quick Facts
particular
details
Medium of instructions
English
Mode of learning
Self study, Virtual Classroom
Mode of Delivery
Video and Text Based
Frequency of Classes
Weekdays, Weekends
Course and certificate fees
Fees information
₹ 8,800
₹11,000
certificate availability
Yes
certificate providing authority
Mindmajix Technologies
The syllabus
Module 1 - What is Cloud Computing? and Why GCP?
What is traditional IT environment and how it works?
Servers, storage, network in traditional IT
What is cloud computing?
Basic architecture of cloud computing
Difference between traditional IT and Cloud computing
Advantages of cloud computing
Deployment Model and service model
SAAS, PAAS and IAAS
Private, Public and hybrid Cloud
Why google cloud? And its exclusive benefits
GCP locations
Gartners Magic quadrant and market share
Module 2 - Cloud Computing and Basic Concepts
Different cloud providers
Regions and zones
GCP interfaces
Google cloud shell overview (LAB)
How to create GCP account
GCP console overview and navigations (LAB)
Organizations, folders, project and resources
Setting up Billing and alerts (LAB)
Module 3 - IAM - Identity and Access Management
Basic concepts of IAM
Organizations, Roles, members, service accounts, policy
Policy hierarchy
Understanding of different roles and permission
IAM Best practices
Assigning various roles and test (LAB)
Create service account and assign role (LAB)
Practice Questions
Module 4- GCP Storage Services
Overview of Virtual machine
Life cycles of VM instances
Access options
Creation of Linux and windows VM instances (LAB)
Different Machine types
Preemptible and sole tenant VMs
Images
Machine images
Live migration and auto restart
Types of disks, Local SSD, persistent disk and balanced persistent disk
Adding new disk and mount in OS (LAB)
Deleting VM and recreate using disk (LAB)
Snapshots
firewall Rules
Pricing criteria and discounts
Creating snapshot and snapshot schedules (LAB)
Recover using snapshot (LAB)
Compute engine activities in gcloud shell (LAB)
Practice Questions
Module 5 - Storage: Google Cloud Storage (GCS)
Overview of object storage (GCS)
Features and use cases of GCS
Structure of GCS
Bucket name standards
Creation of bucket and upload object (LAB)
Setting IAM and ACL permission on bucket (LAB)
Storage classes
Versioning
Life cycle policies
Pricing
Versioning and Life cycle policies (LAB)
GCS using gcloud (LAB)
Practice Questions
Module 6 - Networking Basics (optional)
Why interconnecting compute devices is necessary?
SOHO networks
LAN and WAN
OSI Model
Overview and traffic flow in layers
TCP/IP protocol
IP address
Subnet mask
CIDR notation
Broadcast and default gateway
NAT
Module 7 - Load Balancing and Autoscaling
Overview and features of GCP load balancer
Types of load balancers
Global and regional load balancers
External and internal load balancers
technology behind LB
Internal/external https load balancing
Internal TCP/UDP load balancing
SSL/TCP proxy load balancing
Components of LB
Auto scaling
Managed and unmanaged instance groups
Create external http global load balancer with autoscaling (LAB)
Module 8 - VPC (Virtual Private Cloud)
Overview and features of VPC
Types of VPC – default /automode and custom VPC
VPC Components
Internal and external IPs
Routes
Firewall
Shared VPC
VPC peering
NAT Gateway
Pricing criteria
Creation of Auto mode VPC (LAB)
Creation of Custom VPC (LAB)
Creating subnets (LAB)
Distributing VM instances in different subnets (LAB)
Creation of firewall rules (LAB)
VPC peering (LAB)
NAT gateway (LAB)
Practice Questions
Module 9 - Cloud SQL
Overview of relational and nonrelational database
Types of cloud sql databases
Cloud mysql
Cloud postgresql
Sql server
Components of mysql
HA sql
Create SQL instance (LAB)
Create HA sql (LAB)
Replication
Backups
Module 10 - Cloud Spanner
Overview of cloud spanner
Comparison with traditional databases
Features
Architecture - regional and global
Replication
Backup and restore
Creation of cloud spanner instance, loading database and query (LAB)
Practice Question
Module 11 - Bigdata And Other Database/Storage Services
Cloud firestore/Datastore
Data model of firestore
Data, document and collection
Dataproc
Overview and features of dataproc
Use cases
Customers
MemCache (Redis)
Introduction to Redis
Introduction to Memcache
Creating Memcache Instance
Bigtable
Challenges of transitional data handling
Overview and features of bigtable
Creating a cluster (LAB)
Use cases
Big query
What is data warehousing
Features
Pricing criteria
Data flow
Overview of data streaming
Architecture of data flow
Features
Cloud Pub/Sub
Overview of messaging and injection
How pub/sub works
Features
Topics subscription and message
Use cases
Creation of topic and publish (LAB)
Module 12 - Compute Services – Others
App Engine
Overview of App engine
Service, versions of app engine
Standard and flexible environments
Architecture
Types of scaling
Create app engine using python code (LAB)
Deploy new version of App engine
Test Autoscaling in App engine
Cloud functions
Overview and use cases of cloud functions
Features and use cases
Creation of cloud functions
Create function to blur offensive images (LAB)
Cloud Run
Cloud run on containerization
Service and revisions
Use cases
Creating cloud Run instance and run hello world (LAB)
Module 13 - Management Tools
Cloud monitoring and logging
Overview of cloud monitoring and logging
Metrix, logs
Log management
Error reporting
Health check monitoring and Alert mechanism
Creating Metrix and alerts (LAB)
Setting up monitoring on different resources (LAB)
Cloud deployment manager
Overview of deployment manager
Working with deployment manager
Create instance using Deployment manager (LAB)
Module 14 - GKE (Google Kubernetes Engine)
What is a microservice
What is a container
What is docker and docker images
Container optimized OS and Container registry
Run wordpress on docker (LAB)
Create a Microservice, then image and run on docker (LAB)
what is Kubernetes
Kubernetes Architecture
Understanding of nodes
Understanding of cluster
Create Kubernetes cluster (LAB)
Run wordpress on Kubernetes and expose outside (LAB)
Understanding pods
Understanding services
Understanding replication controllers
Understanding deployments
Understanding yaml files
Understanding Kustomize
Managing deployments using Kustomize
Create guestbook application which include frontend deployment, backed redis master and slave deployments (LAB)
Test scale up and scale down of pods (LAB)
Upgrade and downgrade pod version (LAB)
Practice Questions
Module 15 - Wrap Up Session
Project explanation
Guidelines for Resume upgrade and interview questions
Solve practice questions of Associate Cloud Engineer Exam
Solve practice questions of Professional Cloud Architect Exam
Practice Test & Interview Questions
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