GCP Associate Cloud Engineer Professional Certification Course
Course Name - GCP Associate Cloud Engineer Professional Certification Course
The only professional certification course you need to become GCP Associate Cloud Engineer.
Course Overview
This comprehensive course provides foundational knowledge and hands-on experience with Google Cloud Platform (GCP). Covering Compute Engine, networking, security, databases, and monitoring, it equips learners with practical skills to manage and deploy applications on GCP. The course focuses on configuring virtual machines, setting up secure networks, managing databases, and implementing identity and access management. It concludes with a capstone project and certification preparation for the GCP Associate Cloud Engineer certification, making it ideal for individuals pursuing a career in cloud computing.
Course Type
Entry-level course designed for beginners and aspiring cloud engineers.
Course Objectives
– Understand core GCP services, infrastructure, and cloud computing concepts.
– Gain practical experience in deploying virtual machines, setting up networks, and managing databases.
– Learn best practices for securing GCP resources and managing permissions.
– Implement monitoring and logging for application performance optimization.
– Prepare for the GCP Associate Cloud Engineer certification with guided exam prep.
What You'll Learn?
– Navigate and utilize the GCP Console, Cloud Shell, and Cloud SDK.
– Deploy and manage Compute Engine instances with customized configurations.
– Design and secure VPC networks with subnets, routes, and firewall rules.
– Work with GCP databases, including Cloud SQL and Cloud Spanner, for different use cases.
– Use Stackdriver (Cloud Monitoring and Logging) for system health monitoring and troubleshooting.
– Manage IAM roles, permissions, and resource-level access for secure operations.
– Build and deploy a multi-tier application using GCP services in a capstone project.
Duration:
30 hours over 5 weeks, including hands-on labs and project work.
Requirements:
– Access to a computer with a stable internet connection.
– A Google Cloud free tier account (for labs and projects).
Pre-requisite:
– Basic knowledge of IT concepts and operating systems.
– Familiarity with basic programming or scripting is helpful but not mandatory.
Target Audience
– Aspiring cloud engineers and IT professionals seeking GCP skills.
– Students and professionals interested in cloud computing fundamentals.
– Individuals preparing for the GCP Associate Cloud Engineer certification.
– Organizations transitioning to GCP and training their staff on its services.
Batch Details
Batch Start Date
Batch Timing
Batch End Date
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Curriculum
– Introduction to Google Cloud Platform
– Overview of GCP services and global infrastructure
– Setting up a GCP account and project
– Introduction to Cloud Console, Cloud Shell, and Cloud SDK
– Understanding the GCP billing model
– Deploying and Managing Compute Engine Instances
– Overview of Compute Engine
– Creating and configuring virtual machines (VMs)
– Customizing VM configurations (e.g., CPU, RAM, Disk)
– Managing VM lifecycle (start, stop, delete, restart)
– Configuring networking and firewalls for VM instances
– Using Google Cloud Marketplace to deploy solutions
– Setting up autoscaling and load balancing
Hands-on Lab:
– Create a custom VM instance and configure firewall rules
– Deploy an application on a VM instance
– Google Cloud Networking
– Overview of Google Cloud networking components
– Virtual Private Cloud (VPC) networks
– Subnets, IP addresses, and routes
– Configuring firewall rules and access controls
– Identity and Security
– Overview of GCP security model
– Understanding service accounts and API keys
– Managing IAM roles and permissions
– Configuring secure communication between GCP services
– Implementing VPC Peering and Cloud Interconnect
– Best practices for securing cloud resources
Hands-on Lab:
– Create a VPC and configure subnets and routes
– Implement firewall rules and IAM roles for secure access
– Google Cloud Databases Overview
– Understanding Cloud SQL, Cloud Spanner, and Firestore
– Use cases for different types of databases (SQL vs NoSQL)
– Configuring and managing Cloud SQL (MySQL, PostgreSQL) instances
– Setting up Cloud Spanner for scalable relational databases
– Using Firestore for NoSQL databases
– Integrating databases with other GCP services (e.g., Compute Engine, App Engine)
– Database Security and Backups
– Configuring database encryption and SSL connections
– Implementing database backups and recovery strategies
– Managing data retention policies and archiving
Hands-on Lab:
– Create and configure a Cloud SQL instance
– Set up Cloud Spanner for distributed database management
– Monitoring and Logging Basics
– Introduction to Google Cloud’s operations suite (formerly Stackdriver)
– Setting up monitoring and logging for GCP resources
– Understanding and using Cloud Monitoring Dashboards
– Configuring log collection, storage, and analysis
– Alerting and notification strategies for system health
– Working with Logs
– Setting up and managing Cloud Logging
– Viewing and analyzing logs in the Cloud Console
– Creating log-based metrics and custom alerts
– Using Cloud Trace and Cloud Profiler for performance monitoring
Hands-on Lab:
– Set up monitoring dashboards and log-based alerts
– Analyze logs for performance optimization
– Managing Identity and Access Management (IAM)
– Overview of IAM roles and policies
– Assigning IAM roles to users, service accounts, and groups
– Custom roles and permissions management
– Using IAM conditions for fine-grained access control
– Best practices for IAM management
– Managing Permissions Across Projects and Resources
– Implementing resource-level access controls
– Using organizations and folders for resource management
– Creating and managing service accounts
– Auditing permissions with Cloud Audit Logs
Hands-on Lab:
– Assign IAM roles to different user groups and test access controls
– Set up service accounts and manage permissions for specific GCP services
– Project: Deploy a multi-tier application on GCP
– Use Compute Engine for virtual machines, Cloud SQL for database management, and VPC for secure networking
– Implement IAM roles and permissions to secure the resources
– Set up monitoring and logging to track application performance
– Exam Preparation
– Review key concepts and exam objectives for the GCP Associate Cloud Engineer certification
– Practice sample questions and case studies
Hands-on Lab:
– Complete a final project that covers all course topics
– Take a practice exam
– Quizzes: At the end of each week, there will be quizzes to assess understanding.
– Final Project: A hands-on final project that integrates all course topics.
– Certification Prep: Review key topics covered in the course for GCP Associate Cloud Engineer certification.
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