30+ Hrs
Hands On Training
Lifetime Access
Updated Content
Customizable
Learning Paths
Industry Expert
Mentors
Projects
Advanced Interactive
Google Cloud Course Overview
Welcome to HKRTrainings, your premier destination for mastering Google Cloud Platform (GCP). Our comprehensive training program is designed to equip you with the skills and knowledge needed to excel in GCP, a leading cloud platform for businesses.
Prerequisites
To apply for the Google Cloud Training, you need to either:
- No specific prerequisites to learning GCP Course.
- It will be beneficial to have prior Experience in Application Deployment and Management.
- Further, a basic understanding of Google Cloud Architecture will be an added advantage (not mandatory).
GCP Training Course Content
At HKR Trainings, we have curated this GCP courses with the help of skilled and experienced trainers ensuring all the concepts as per the current industry needs are covered. Below are the modules that are covered in this course.
- 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
- 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)
- Basic concepts of IAM
- Organizations, Roles, members, service account, 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
- 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
- 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
- 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
- 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)
- 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
- 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
- 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 Questions
- 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
- Feature
- 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)
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 revision
- Use cases
- Creating cloud Run instance and run hello world (LAB
- 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)
- 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
- 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
GCP Training Projects
Deploy A Multi-tier Website On Google Cloud Platform
Problem Statement: Deploy a custom PHP website to Google Cloud Platform with functionalities for SQL and file storage Highlights:..... 1.1 Configuring Google Cloud Platform to send emails for every operation using the website 1.2 Deploying the web application in private subnet with no Internet access 1.3 Using Load Balancer to expose the application in the private subnet 1.4 Using the database for metadata storage Read more
Deploying A Website For High Availability And High Resilience
Problem Statement: Design an architecture that can automatically scale up and down based on traffic and is decoupled for component.....s like database, web app, etc. Highlights: 2.1 Designing architectures that are self-healing and auto-scaling 2.2 Load balancing across multiple instances using Load Balancer 2.3 Deploying Google Cloud Platform and managing cloud storage using Gsutil Read more
Corporate Training
GCP Training Reviews
GCP Online Training Objectives
GCP Training is a training given to the aspirants of GCP. Through this training HKR Trainings enables the aspirants to upskill themselves on all the concepts of GCP that you need as per the current industry needs.
When you complete this Google Cloud Platform training, you would be familiar with:
- The basics like What is cloud computing, GCP and why we use it
- What is IAM, compute engine, google cloud storage
- Networking basics, VPC, Load balancing and Auto scaling
- cloud SQL, compute services, GKE,
- big data and related database/storage services, etc.
To start with this GCP training, you need to either click on the Enrol Now icon at the top of the screen, or contact us at our customer care number, or just enter your details in the pop-up and submit it. Our Team will contact you as soon as possible and give you more information regarding the training process.
Once you complete the entire course along with real-time projects and assignments, HKR delivers the course completion certification. This certification helps to get a job in any company very quickly.
Our trainers are highly qualified and certified with many years of industry experience with a technical background in Google Cloud.
Certification differentiates you from the non-certified peers, and you can demand the best salary in the leading companies.
We, at HKR, provide complete guidance to reach your dream job. But your job will be based on your performance in the interview panel and the recruiter requirements.
The Google Cloud training course benefits the following list of professionals.
- IT Professionals.
- Software Developers.
- Administrators.
- Those looking to deploy SaaS, PaaS and IaaS solutions.
- Systems and Network Administrators.
- Project Managers.
There are no specific prerequisites for Google Cloud Architect Training. Prior operations experience in deploying and managing applications is beneficial.
GCP Training FAQ's
You will get class recordings for the missed GCP Training classes. You can learn from these videos and resolve your queries with the trainer in the next session.
Yes! Right from the first day of your Google Cloud training, our trainers make sure that you understand all the concepts and provide you with complete guidance to reach your dream job. And when you complete your course, we will also assist you in your resume preparation which will give you the confidence to clear your interview. Moreover, We are also tied up with some corporate companies. So when they have a requirement, we send your profiles to them.
Yes, we provide a free demo class for each learner of our GCP Course before enrolling in the program. This session will acquaint them with the trainer's experience and quality of teaching, and the overall course structure.
Our trainers for Google Cloud training are professionals with more than ten years of work experience. They will deliver you the Google Cloud Training. They have a flair for making learning fun and easy. So you will get the best training on Google Cloud.
You can reach our customer support team to clear your additional queries not mentioned in this GCP article.
Many students and professionals enrolled with HKR were satisfied with our technology training classes and reached new milestones. Our faculties are highly skilled and experienced in real-time for many years and teach learners well. So, there will be no chance of getting dissatisfied with our GCP Online Course.
Google cloud comprises a suite of cloud computing services which are executed on the same infrastructure used by google for its end-user products internally like google drive, gmail, google search and youtube.
There are various free online courses for google cloud training. It is not guaranteed that all the concepts will be covered in these free cloud courses. HKR Trainings offers the best google cloud training that can make the learners obtain all the necessary skills that help them work efficiently with Google cloud platform.
Google cloud is not very difficult to learn with proper guidance. Google cloud’s web based interface is simple and its API offers easy integration with other applications. Moreover, Google Cloud Platform also provides a number of capabilities that benefits businesses of all sizes.
Foundational certificate will cost $99 while the cost of associate cloud engineer certification is $125 and the cost for any other google cloud certifications will be $200.
Yes! Google cloud certification will validate your skills and help you to obtain better opportunities. It helps you leverage these skills in your work and advance your career.
In order to obtain a job, google cloud platform plays an important role. Along with this you need to have relevant skills and experience that can exhibit your skills to the employer to obtain the job.
It offers a number of benefits. It offers highly scalable and reliable services to the users that assist them compute and store data and also help developers create, test and deploy the applications.
+1 (818) 665 7216
+91 9711699759