Google Cloud Certified Professional
- Created By raju2006
- Last Updated December 26th, 2023
- Overview
- Prerequisites
- Audience
- Audience
- Curriculum
Description:
Consider the entire range of Google Cloud Platform technologies in their offerings. Learn methods to develop, implement, and deploy solutions Distinguish between features of similar or related products and technologies Recognize a wide variety of solution domains, use cases, and applications Develop essential skills for managing and administering solutions Develop knowledge of solution patterns methods, technologies, and designs that are used to implement security, scalability, high availability, and other desired qualities.
Long Description:
Unlock the full potential of Google Cloud Platform (GCP) with our 'Google Cloud Certified Professional' course. In today's rapidly evolving digital landscape, cloud computing is a key driver of innovation. Gain in-depth insights into the entire spectrum of GCP technologies, from Artificial Intelligence to Machine Learning. Develop hands-on expertise in deploying GCP solutions, distinguishing between related products, and recognizing diverse solution domains and use cases. Master the skills required for efficient solution management and administration, and acquire the knowledge of solution patterns, methods, technologies, and designs to implement security, scalability, high availability, and other essential qualities. By the end of this course, you'll be fully prepared to obtain your Google Cloud certification. Join us on this transformative journey and become a Google Cloud Certified Professional.
Course Code/Duration:
BDT58 / 3 Days
Learning Objectives:
After this course, you will be able to:
- Introduction to Cloud Computing
- Compare GCP, AWS and Microsoft Azure
- Understanding the Google Cloud Platform Ecosystem
- Discuss Virtual Network and Virtual Machines
- Understand Security Capabilities on Google Cloud Platform
- Understand Storage options on Google Cloud Platform and usages
- Monitoring and Maintenance on Google Cloud Platform
- Automation on Google Cloud Platform
- Understand costing on Google Cloud Platform
- Apply Google Cloud Platform using tutorials and project
- Understand what it takes to get certification on Google Cloud Platform
- Python experience
- Basic proficiency with command-line tools and Linux operating system environments
- Python Developers, Data Engineer, Analyst and Machine Learning Engineer. Cloud Solutions Architects, DevOps Engineers.
This course is designed for Software Architects, Developers, Data Engineer, Analyst and Machine Learning Engineer. Cloud Solutions Architects, DevOps Engineers. Individuals using Google Cloud Platform to create new solutions or to integrate existing systems, application environments, and infrastructure with a focus on Google Compute Engine.
- Python Developers, Data Engineer, Analyst and Machine Learning Engineer. Cloud Solutions Architects, DevOps Engineers.
This course is designed for Software Architects, Developers, Data Engineer, Analyst and Machine Learning Engineer. Cloud Solutions Architects, DevOps Engineers. Individuals using Google Cloud Platform to create new solutions or to integrate existing systems, application environments, and infrastructure with a focus on Google Compute Engine.
Course Outline:
The course includes presentations, demonstrations, and hands-on labs.
Course Introduction
Module 1: Google Cloud Platform Fundamentals
- Cloud Computing Benefits
- Comparing GCP, AWS and Microsoft Azure
- Getting Started with Google Cloud Platform
- Virtual Machines in the Cloud
- Storage in the Cloud
- Containers in the Cloud
- Applications in the Cloud
- Developing, Deploying and Monitoring in the Cloud
- Big Data and Machine Learning in the Cloud
- Lab: Cloud Labs Preview
Module 2: Introduction to Google Cloud Platform
- Google Cloud Platform (GCP) Infrastructure
- Using GCP
- Lab: Console and Cloud Shell
- Demo: Projects
- Lab: Infrastructure Preview
Module 3: Virtual Networks
- Virtual Private Cloud (VPC), Projects, Networks, Subnetworks, IP addresses, Routes, Firewall rules
- Subnetworks for resource management instead of physical network topology
- Lab: Virtual Networking
- Lab: Bastion Host
Module 4: Virtual Machines
- Compute Engine
- Lab: Creating Virtual Machines
- Compute options (vCPU and Memory)
- Images
- Common Compute Engine actions
- Lab: Working with Virtual Machines
Module 5: Cloud IAM
- Organizations, Roles, Members, Service accounts, Cloud IAM best practices
- Lab: Cloud IAM
- Usage patterns
Module 6: Data Storage Services
- Cloud Storage
- Lab: Cloud Storage
- Cloud SQL
- Lab: Cloud SQL
- Cloud Spanner, Cloud DataStore
- Lab: Cloud DataStore
- Cloud Bigtable
Module 7: Resource Management
- Cloud Resource Manager, Quotas, Labels, Names, Billing
- Demo: Billing Administration
- Lab: Examining Billing Data with BigQuery
Module 8: Resource Monitoring
- Stackdriver, Monitoring
- Lab: Resource Monitoring (Stackdriver)
- Logging, Error Reporting, Tracing, Debugging
- Lab: Error Reporting and Debugging (Stackdriver)
Module 9: Interconnecting Networks
- Cloud Virtual Private Network (VPN)
- Lab: Virtual Private Networks (VPN)
- Cloud Router, Cloud Interconnect, External Peering, Cloud DNS
Module 10: Load Balancing
- Managed Instance Groups, HTTPS load balancing, Cross-region and content-based load balancing, SSL proxy/TCP proxy load balancing, Network load balancing
- Lab: VM Automation and Load Balancing
Module 11: Autoscaling
- Autoscaling, Policies, Configuration
- Lab: Autoscaling
Module 12: Infrastructure Automation with Google Cloud Platform APIs
- Infrastructure automation, Images, Metadata, Scripts, Google Cloud API
- Lab: Google Cloud Platform API Infrastructure Automation
Module 13: Infrastructure Automation with Deployment Manager
- Deployment Manager, Configuration, Cloud Launcher
- Lab: Deployment Manager
Module 14: Managed Services
- Cloud Dataproc, Cloud Dataflow, BigQuery, Cloud Datalab
Module 15: Project
- Performing Practice Project on Google Cloud
Module 16: Certification
- Preparation for Google Cloud Certification
- Practice test on Google Cloud Certification
Module 17: References and Next steps
Structured Activity/Exercises/Case Studies:
- Lab: Cloud Labs Preview
- Lab: Infrastructure Preview
- Lab: Virtual Networking
- Lab: Bastion Host
- Lab: Virtual Private Networks (VPN)
- Lab: Cloud IAM
- Lab: Cloud Storage
- Lab: Cloud SQL
- Lab: Cloud DataStore
- Lab: Examining Billing Data with BigQuery
- Lab: Resource Monitoring (Stackdriver)
- Lab: Error Reporting and Debugging (Stackdriver)
- Lab: Virtual Private Networks (VPN)
- Lab: VM Automation and Load Balancing
- Lab: Autoscaling
- Lab: Google Cloud Platform API Infrastructure Automation
- Lab: Deployment Manager
- Performing Project on Google Could
Training material provided:
Yes (Digital format)
