GCP - Cloud Compute

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Course Overview

Our Google Cloud training program provides learners with a comprehensive understanding of Google Cloud’s IAM, Security services, Cloud APIs, Network services, and Computing & migration to Google Cloud. Our flexible schedule allows you to keep your job while you learn in-depth about Google Cloud concepts, and our interactive labs, lectures, and projects help you develop key skills.

Our course includes 25 hours of informative and interactive sessions, a certification-oriented curriculum, and 20 hours of lab sessions to provide you with hands-on experience in implementing Google Cloud solutions. Additionally, we offer a free demo on request, one-on-one doubt clearing sessions with our trainers, and real-time project use cases to provide you with a practical understanding of Google Cloud. We also provide mock interviews and career preparation sessions to help you gain the expertise needed to get hired. Join our Google Cloud training program today and take the first step towards a successful career in the cloud computing industry.

What You'll Learn?

In-demand skills: GCP - Cloud Compute is a rapidly growing field, and proficiency in these skills is in high demand.
Hands-on experience: our course provides extensive hands-on experience through lab sessions and real-world project use cases.
Flexible schedule: our course is designed to be flexible to accommodate your schedule.
Career growth: proficiency in GCP - Cloud Compute can lead to career advancement opportunities.

Targeted Audience
Requirements

IT professionals who want to learn about GCP - Cloud Compute and its applications in the industry.
Developers who want to understand how to build and deploy applications using GCP - Cloud Compute.
System Administrators who want to learn how to manage infrastructure using GCP - Cloud Compute tools and principles.

Basic knowledge of IT concepts, such as programming and system administration.
A computer with an internet connection and access to the required software and tools.
Familiarity with Linux operating systems and command-line interfaces is helpful but not required.

Topics for this course

Virtual machines: understanding how to create, manage, and configure virtual machines on Google Cloud Compute Engine.
Networking: configuring and managing networks, subnets, firewalls, and load balancers on Google Cloud Platform.
Storage: working with different types of storage options, such as persistent disks, object storage, and file storage on Google Cloud Platform.
Automation: using automation tools such as Cloud SDK, Cloud Console, and Cloud Shell to automate routine tasks and workflows.
Monitoring and logging: using Cloud Monitoring and Cloud Logging to monitor and analyze system performance and troubleshoot issues.
Deployment: managing application deployments on Compute Engine, including creating and managing instances, scaling, and updating applications.
Security: implementing security best practices, managing access and permissions, and securing network communications on Google Cloud Platform.
Interoperability: integrating Compute Engine with other Google Cloud Platform services, such as Cloud Storage, Cloud SQL, and Kubernetes Engine.
Backup and Disaster Recovery: ensuring data backup and disaster recovery options are set up for Compute Engine instances.

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GCP – Cloud Compute

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