A Cloud Architect designs, develops, and manages robust, secure, scalable, and dynamic solutions. This learning path guides you through a curated collection of on-demand courses, labs, and skill badges that provide you with real-world, hands-on experience using Google Cloud technologies essential to the Cloud Architect role.
Google Cloud Architect Learning Path
Google Cloud via edX Professional Certificate
This course may be unavailable.
Overview
Syllabus
Course 1: Preparing for your Professional Cloud Architect Journey
For cloud professionals who intend to take the Professional Cloud Architect certification exam.
Course 2: Google Cloud Fundamentals: Core Infrastructure
For individuals planning to deploy applications and create application environments on Google Cloud, Systems operations professionals, Solution Architects getting started with Google Cloud, and developers, Executives and business decision makers evaluating the potential of Google Cloud to address their business needs.
Course 3: Essential Google Cloud Infrastructure: Foundation
Cloud Solutions Architects, DevOps Engineers. Individuals using Google Cloud to create new solutions or to integrate existing systems, application environments, and infrastructure, with a focus on Compute Engine.
Course 4: Essential Google Cloud Infrastructure: Core Services
Cloud Solutions Architects, DevOps Engineers. Individuals using Google Cloud to create new solutions or to integrate existing systems, application environments, and infrastructure, with a focus on Compute Engine.
Course 5: Elastic Google Cloud Infrastructure: Scaling and Automation
Cloud Solutions Architects, DevOps Engineers. Individuals using Google Cloud to create new solutions or to integrate existing systems, application environments, and infrastructure, with a focus on Compute Engine.
Course 6: Reliable Google Cloud Infrastructure: Design and Process
Cloud Solutions Architects, Site Reliability Engineers, Systems Operations professionals, DevOps Engineers, IT managers. Individuals using Google Cloud to create new solutions or to integrate existing systems, application environments, and infrastructure with Google Cloud.
Course 7: Getting Started with Google Kubernetes Engine
This class is intended for the following participants: - Application developers, Cloud Solutions Architects, DevOps Engineers, IT managers. - Individuals using Google Cloud to create new solutions or to integrate existing systems, application environments, and infrastructure with Google Cloud. - Executives and business decision makers evaluating the potential of GKE to address business needs.
Course 8: Logging, Monitoring and Observability in Google Cloud
This class is intended for the following participants: - Cloud architects -Administrators -SysOps personnel Cloud developers -DevOps personnel
Courses
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This course helps learners create a study plan for the PCA (Professional Cloud Architect) certification exam. Learners explore the breadth and scope of the domains covered in the exam. Learners assess their exam readiness and create their individual study plan.
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Google Cloud Fundamentals: Core Infrastructure introduces important concepts and terminology for working with Google Cloud. Through videos and hands-on labs, this course presents and compares many of Google Cloud's computing and storage services, along with important resource and policy management tools.
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This accelerated on-demand course introduces participants to the comprehensive and flexible infrastructure and platform services provided by Google Cloud with a focus on Compute Engine. Through a combination of video lectures, demos, and hands-on labs, participants explore and deploy solution elements, including infrastructure components such as networks, virtual machines and applications services. You will learn how to use the Google Cloud through the console and Cloud Shell. You'll also learn about the role of a cloud architect, approaches to infrastructure design, and virtual networking configuration with Virtual Private Cloud (VPC), Projects, Networks, Subnetworks, IP addresses, Routes, and Firewall rules.
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This accelerated on-demand course introduces participants to the comprehensive and flexible infrastructure and platform services provided by Google Cloud with a focus on Compute Engine. Through a combination of video lectures, demos, and hands-on labs, participants explore and deploy solution elements, including infrastructure components such as networks, systems and applications services. This course also covers deploying practical solutions including customer-supplied encryption keys, security and access management, quotas and billing, and resource monitoring.
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This accelerated on-demand course introduces participants to the comprehensive and flexible infrastructure and platform services provided by Google Cloud. Through a combination of video lectures, demos, and hands-on labs, participants explore and deploy solution elements, including securely interconnecting networks, load balancing, autoscaling, infrastructure automation and managed services.
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This course equips students to build highly reliable and efficient solutions on Google Cloud using proven design patterns. It is a continuation of the Architecting with Google Compute Engine or Architecting with Google Kubernetes Engine courses and assumes hands-on experience with the technologies covered in either of those courses. Through a combination of presentations, design activities, and hands-on labs, participants learn to define and balance business and technical requirements to design Google Cloud deployments that are highly reliable, highly available, secure, and cost-effective.
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In this course, each module aims to build on your ability to interact with GKE, and includes hands-on labs for you to experience functionalities first-hand. In the first module, you'll be introduced to a range of Google Cloud services and features, with a view to helping you choose the right Google Cloud services to create your own cloud solution. You'll learn about creating a container using Cloud Build, and store a container in Container Registry. You'll also compare and contrast the features of Kubernetes and Google Kubernetes Engine, also referred to as GKE. In addition to conceptualizing the Kubernetes architecture, you'll deploy a Kubernetes cluster using GKE, deploy Pods to a GKE cluster, and view and manage Kubernetes objects.
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Learn how to monitor, troubleshoot, and improve your infrastructure and application performance. Guided by the principles of Site Reliability Engineering (SRE), this course features a combination of lectures, demos, hands-on labs, and real-world case studies. In this course, you'll gain experience with full-stack monitoring, real-time log management and analysis, debugging code in production, and profiling CPU and memory usage.
Taught by
Google Cloud Training