Google Cloud Practioner Certification & Training

• Weekdays – 5-6 weeks
• Weekend – 6 weeks weeks
• FastTrack – 4 week

• Weekdays – 5-6 weeks
• Weekend – 6 weeks
• FastTrack – 4 weeks

• Cloud computing (Intro & types)
• History of Google cloud
• Advantage of Google cloud

• 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

• 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

• 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

• Understand Compute Engine
• Understand and implement Compute options (vCPU and Memory) specific to workload
• Persistent disk – HDD, SSD
• Load Balancing Common
• Compute Engine actions

• 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

• 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

• 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

• Understand JencoMart case study
• Understand Mountkirk Games case study
• Understand Dress4Win case study
• Understand TerramEarth case study

• 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

Problem statement:- The objective of the project is to make world digital and also this project will be help in ticket management system.

Description:-Customer can buy the bus ticket over the Internet, 24 hours a day throughout the week, this solves the issue of bus ticket being misplaced or stolen. Users can recharge through cc or debit car. The site may get overloaded due to huge number of users visiting at once. Thus this system is built up using cloud infrastructure for improved performance.

Problem statement:- University campus online automation system, is a recruitment system that is beneficial for a college student, college placement faculty and Companies visiting the campus.

Description:- This software has three login portal, for students, placement faculty and companies visiting the campus. Students will enter all their personal as well as professional while registering themselves into the system. The faculty can register themselves by entering their details like, employee id, subject and position. The Companies register with their company name, Job title, No. of vacancy, Job description, Job profile, Criteria. The students can view and apply to the companies. The companies can view the list of student profile who have applied to the particular company. The admin of the system, has the access to all the portal. He handles all the three logins credentials.

Problem Statement: - Use Google cloud platform for custom PHP website with functionalities of SQL and file storage.

Description: - In this project you need to use google cloud to host a website and send emails for operations using website. In addition of deployment of web application, you will use database for metadata storage. You will use load balancer to expose application in private subnet after deployment.