Objectives
- Google Cloud Platform Fundamentals: Core Infrastructure teaches participants the following skills:
- Identify the purpose and value of Google Cloud Platform products and services
- Interact with Google Cloud Platform services
- Describe ways in which customers have used Google Cloud Platform
- Choose among and use application deployment environments on Google Cloud Platform: Google App Engine, Google Kubernetes Engine, and Google Compute Engine
- Choose among and use Google Cloud Platform storage options: Google Cloud Storage, Google Cloud SQL, Google Cloud Big table, and Google Cloud Datastore
- Make basic use of Big Query, Google’s managed data warehouse for analytics
- Make basic use of Cloud Deployment Manager, Google’s tool for creating and managing cloud resources through templates
- Make basic use of Google Stack driver, Google’s monitoring, logging, and diagnostics system
Architecting with Google Compute Engine Consider the entire range of Google Cloud Platform technologies in their plans 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
Architectingwith Google Kubernetes Engine teaches participants the following skills: Understand how software containers work Understand the architecture of Kubernetes Understand the architecture of Google Cloud Platform Understand how pod networking works in Kubernetes Engine Create and manage Kubernetes Engine clusters using the GCP Console and gcloud/ kubectl commands Launch, roll back and expose jobs in Kubernetes Manage access control using Kubernetes RBAC and Google Cloud IAM Managing pod security policies and network policies Using Secrets and Config Maps to isolate security credentials and configuration artifacts Understand GCP choices for managed storage services Monitor applications running in Kubernetes Engine
Architecting with Google Cloud Platform: Design and Process teaches participants the following skills:
- Design for high availability, scalability, and maintainability.
- Assess trade offs and make sound choices among Google Cloud Platform products.
- Integrate on-premises and cloud resources.
- Identify ways to optimize resources and minimize cost.
- Implement processes that minimize downtime, such as monitoring and alarming, unit and integration testing, production resilience testing, and incident post-mortem analysis.
- Implement policies that minimize security risks, such as auditing, separation of duties and least privilege.
- Implement technologies and processes that assure business continuity in the event of a disaster.
Preparing for the Professional Cloud Architect Examination (GCPPCA-E) course teaches participants the following skills:
- Position the Professional Cloud Architect Certification
- Provide information, tips, and advice on taking the exam
- Review the sample case studies
- Review each section of the exam covering highest-level concepts sufficient to build confidence in what is known by the candidate and indicate skill gaps/areas of study if not known by the candidate
- Connect candidates to appropriate target learning.