Cloud Architecture with Google Cloud

Important concepts and terminology for working with Google Cloud Platform (GCP). 

Learn and compare, many of the computing and storage services available in Google Cloud Platform, including Google App Engine, Google Compute Engine, Google Kubernetes Engine, Google Cloud Storage, Google Cloud SQL, and BigQuery. 

Learn about important resource and policy management tools, such as the Google Cloud Resource Manager hierarchy and Google Cloud Identity and Access Management. 

Obtain foundational skills for working with GCP through Hands-on labs. 

Comprehensive and flexible infrastructure and platform services provided by Google Cloud with a focus on Compute Engine. 

Explore and deploy solution elements, including infrastructure components such as networks, systems and applications services, through a combination of video lectures, demos, and hands-on labs.

Deploying practical solutions including customer-supplied encryption keys, security and access management, quotas and billing, and resource monitoring. 

Top-down approach to recognize knowledge and skills already known, and to surface information and skill areas for additional preparation. Create your own custom preparation plan. Distinguish what you know from what you don't know. Develop and practice skills required to perform this job. 

The course follows the organization of the Exam Guide outline, presenting highest-level concepts, "touchstones", for you to determine whether you feel confident about your knowledge of that area and its dependent concepts, or if you want more study. 

Learn about and Practice key job skills, including cognitive skills such as case analysis, identifying technical watchpoints, and developing proposed solutions. These are job skills that are also exam skills. Test basic abilities with Activity Tracking Challenge Labs. 

Completed graded practice exam quiz that simulates the exam-taking experience. 

Comprehensive and flexible infrastructure and platform services provided by Google Cloud with a focus on Compute Engine. 

Explore and deploy solution elements, including infrastructure components such as networks, virtual machines and applications services, through a combination of video lectures, demos, and hands-on labs

Use the Google Cloud through the console and Cloud Shell. 

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. 

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.

Learn to define and balance business and technical requirements to design Google Cloud deployments that are highly reliable, highly available, secure, and cost-effective, through a combination of presentations, design activities, and hands-on labs.

The following skills obtained: 

• Apply a tool set of questions, techniques, and design considerations 

• Define application requirements and express them objectively as KPIs, SLOs and SLIs 

• Decompose application requirements to find the right microservice boundaries 

• Leverage Google Cloud developer tools to set up modern, automated deployment pipelines 

• Choose the appropriate Cloud Storage services based on application requirements 

• Architect cloud and hybrid networks 

• Implement reliable, scalable, resilient applications balancing key performance metrics with cost 

• Choose the right Google Cloud deployment services for your applications 

• Secure cloud applications, data, and infrastructure 

• Monitor service level objectives and costs using Google Cloud tools Prerequisites 

Comprehensive and flexible infrastructure and platform services provided by Google Cloud. 

Explore and deploy solution elements, including securely interconnecting networks, load balancing, autoscaling, infrastructure automation and managed services, through a combination of video lectures, demos, and hands-on labs.