Google Cloud Certification Training
Google Cloud Certification Training – Cloud Architect is designed to help you pass the Professional Cloud Architect – Google Cloud Certification. With this course, you will get an in-depth understanding of all the GCP Services in Networking , Storage , Databases, Containers, Virtual Machines, App Engine, Security etc.
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- Understand Google Cloud Platform concepts and terminologies
- Understand GCP products and services
- Learn methods to develop, implement, and deploy solutions
- Distinguish between features of similar or related products and technologies
- Learn to work with the Compute Engine, Cloud Storage, Cloud SQL and Big Query GCP services
- Manage GCP environments using three different methods (Console, App, Command-Line)
- Develop knowledge of solution patterns — methods, technologies, and designs that are used to implement security, scalability, high availability, and other desired qualities
- Understand basics of Big Data and Machine Learning services of GCP
Google Cloud Certifications are the world’s most prestigious certifications. Google Cloud Platform is ranked as the world’s third largest cloud provider. The world-renowned services such as Google Search and Youtube are also hosted on the Google Cloud, which means applications which will be hosted on GCP will share the same world class infrastructure used by other Google products.
Google Cloud training is designed for the IT professionals who want to pursue a career in Cloud Computing and become Google Cloud Infrastructure Solutions Expert. This Google Cloud course is the best fit for:
- Professionals who want to start their career in Google cloud platform
- Professionals who want to appear for Google Cloud Certification exam – Cloud Architect
- AWS Solution Architect or Microsoft Azure Architect who wants to understand Google Cloud Platform
- Individuals using Google Cloud Platform to create new solutions or to integrate existing systems, migrate application environments and infrastructure with the Google Cloud Platform
Google Cloud Certification Training requires no specific pre-requisites. Any professional who understands IT Service Management can join this course. There is no programming knowledge needed and no prior Cloud experience required for this course.
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Structure your learning and get a certificate to prove it.
- What is Cloud computing
- Overview of different cloud computing services
- Understand GCP environment
- Different Compute, Storage, Big Data and AI resources which GCP offers
- Google Network Service Offerings
- Setup GCP account
- Google Cloud Platform (GCP) Infrastructure
- Compute resources
- Networking Services
- Storage and Database offering
- Bigdata and AI services
- Basics of GCP Project
- Introduction to Primitive role
- How to manage GCP using GCP console
- How to use Cloud Shell to manage GCP environment
- How to use Gcloud tool to manage GCP environment
- How to use Gsutil tool to manage cloud storage
- Install/configure cloud SDK
- Managing GCP environment with GCP console
- Control GCP environment using CLI
- GCP environment management using Cloud Shell
- GCP environment management using Gcloud
- GCP environment management using Gsutil
- Install and configure cloud SDK
- Add components to use the Gcloud tool to manage GCP resources
- Using Gsutil tool do file operations
- How to use VPC
- Create/Manage VPN
- How to use cloud router
- Create/Modify Firewall policies
- Work with Routes
- Configure and Deploy Endpoints
- Cloud Virtual Network
- Virtual Private Network
- Virtual Private Cloud
- Proxies / Gateway and Endpoints
- Network/Subnetwork
- DNS Resolution
- Firewalls and Routes
- Cloud Router
- Interconnecting networks
- Security aspect
- Create virtual private network with multiple subnets and apply firewall rules
- Security aspect of GCP
- Understand Identity and Access Management
- IAM Role – Primitive, Predefined, Custom
- IAM Policy and Policy Hierarchy
- Best Practices for IAM role, policy and service account
- Create and manage permissions for Google Cloud Platform resources
- Understand Identity and Access Management (IAM)
- Understanding Organizations, Roles, Members, Service accounts, Policy
- Policy Hierarchy
- Understanding different role and permission
- Creating custom role
- Basic IAM APIs
- Best Practices
- Key Management Systems
- Data security
- Resource Sharing and Isolation
- Auditing
- Penetration testing
- Security controls
- Define various roles and policy of GCP environment
Goal: In this module, you will learn how to create/manage Virtual machines and work with Compute engine.
- Create Virtual Machine and VM instances
- Working with VM
- Understand Compute Engine
- Understand and implement Compute options (vCPU and Memory) specific to workload
- Persistent disk – HDD, SSD
- Load Balancing
- Common Compute Engine actions
- Create Custom Machine Types optimized for specific needs
- Creating VM instance using CLI
- Working with Virtual Machine – Attaching persistent disk to VM
Goal: In this module, you will learn different data storage services offered by GCP.
- How to store data
- How to retrieve data
- Archiving cold data
- Managing rich content
- How to host your website
- Understand Cloud Storage – Nearline, Coldline
- Cloud SQL
- Cloud Spanner, Cloud Datastore
- Cloud Bigtable
- Pros and cons of storage option and how to choose
- Understanding Billing aspect of storage options
- Tradeoff of storage options
- Integration with on premises/multi-cloud environment
- Working with Cloud Storage Buckets
- Working with VM And Storing Results on Cloud Storage
- How to use Gsutil tool to manage cloud storage
- Host your website
Goal: In this module, you will learn how to Deploy, manage, and scale containerized applications on Kubernetes.
- Why containers are used
- How to deploy application using Kubernetes
- Understand Containers and their benefits
- Kubernetes Engine, Container Registry
- How to use Kubernetes Load Balancing
- How to choose Kubernetes Engine, App Engine, or Containers on Compute Engine
- Creating A Kubernetes Cluster
Goal: In this module, you will learn how to develop and execute a variety of data processing patterns using Dataflow processing and how to manage cluster using Dataproc service.
- Build dataflow pipeline
- How to create a maven project with Dataflow SDK
- How to create and execute streaming pipeline using Dataflow template
- How to create pipeline on Beam
- Testing pipeline
- Create/Manage/Delete cluster using Dataproc service
- How to run a job on cluster
- Using APIs to automate jobs
- Dataflow services
- Stream and Batch processing
- Apache Beam SDK
- Monitoring using Stackdriver
- Data transformation with Cloud Data flow
- Working with Dataproc
- Creating Cluster
- Managing cluster
- Automation of jobs
Goal: In this module, you will learn how to use GCP for application development, deployment, debugging and monitoring.
- Best practices for application development
- Choosing the appropriate data storage option for application data
- Debug, trace, and monitor applications
- Infrastructure automation, Images, Metadata, Scripts, Google Cloud API
- Cloud Pub/Sub, API Management, Cloud Functions, Cloud Source Repositories, Specialty APIs
- App Engine
- How to use Google Stackdriver : Overview, Integration, Monitoring, Logging, Error reporting, Tracing
- Implement & Configure Deployment Manager, Cloud Launcher
- Deploying Applications Using App Engine
Goal: In this module, you will learn how to use GCP DevOps service for CI/CD using Jenkins and how to do debugging using Stackdriver in DevOps environment.
- How to create/configure Jenkins service on GCP
- Jenkins deployment
- Setup CI/CD
- Setting up Jenkins on Container engine
- Deploy application on Jenkins
- Create deployment pipeline in Jenkins
- Create and Deploy on cluster
- Deploy development and production environment
- Analysis & Troubleshooting
- Set up a continuous delivery pipeline using Jenkins and deploy an application to Kubernetes.
Goal: In this module, you will learn how to check different metrics and take decision to migrate to GCP.
- Different critical KPIs, Metrics, Analytics
- How to take decision to migrate to GCP
- How to choose from different options as per specific need
- How to manage scalability
- Hybrid model
- How to move completely from on-prem to GCP
- Collect and Analyze metrics
- Evaluate and choose an automation framework for provisioning resources in cloud
- Design strategy
- Create Migration Plan
- Move local data to GCP
Goal: In this module, you will learn the official case studies provided by Google for GCP Architect exam, and practice on these case studies with sample exam problem statements
- Google provided case studies
- How to solve problems as described in these case studies
- Understand JencoMart case study
- Understand Mountkirk Games case study
- Understand Dress4Win case study
- Understand TerramEarth case study
- Solve Sample Problem Statements Based On these Case Studies
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