This customized course introduces students to the comprehensive and flexible infrastructure and platform services provided by Google Cloud Platform.
Through a combination of presentations, 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 securely interconnecting networks, customer-supplied encryption keys, security and access management, quotas and billing, and resource monitoring.
It is specifically designed to answer the following questions:
- Why choose Google Cloud Platform?
- How Google Cloud Platform (GCP) Infrastructure works
- What does it take to design a GCP Cloud Infrastructure for an enterprise?
- What are Virtual Private Cloud (VPC), Projects, Networks, Subnetworks, IP addresses, Routes, Firewall rules?
- Virtual Private Cloud (VPC), Projects, Networks, Subnetworks, IP addresses, Routes, Firewall rules
- Organizations, Roles, Members, Service accounts, Cloud IAM best practices
- Subnetworks for resource management instead of physical network topology
- What are the options for migrating VMS to GCP?
- What are the options for migrating data storage to GCP?
- What are computing options available?
- What are the database options available?
- What are the options for developer tools around DevOps?
- What are Google Cloud Platforms best practices around enterprise deployment?
- What is IAM in GCP and how do we implement a secure cloud with Organizations, Roles, Members, Service accounts, Cloud IAM best practices
- What are the options for Infrastructure as Code?
- What are managed and unmanaged services in GCP?
- What are load balancing options around Managed Instance Groups, HTTPS load balancing, Cross-region and content-based load balancing, SSL proxy/TCP proxy load balancing, Network load balancing?
- What are the following services? Cloud Pub/Sub, API Management, Cloud Functions, Cloud Source Repositories, Specialty APIs application services?
- What is Google Stackdriver and its features Logging, Error Reporting, Tracing, Debugging?
- What role does Gsuite and Cloud Identity play in GCP?
- Google Cloud Certification Overview
What you’ll learn in the Google Cloud Platform Cloud Architect Workshop:.
- 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.
What are the pre requites of the course to be successful?
- Completion of Google Cloud Platform Fundamentals or equivalent experience
- Basic proficiency with command-line tools and Linux operating system environments
- Systems Operations
experience, including deploying and managing applications, either on-premises
or in a public cloud environment
Day One
8 Hours
| DAY 1 | Module | Subject | Start | End | Total Time (in hours) |
| 01 | Course Introduction | 09:00 | 09:30 | 00:30 | |
| 02 | GCP Cloud Platform Infrastructure, Billing and Resource Management, GCP Cloud Hierarchy | 09:30 | 12:30 | 03:00 | |
| 03 | Console, Cloud Shell and Gcloud | 12:30 | 13:00 | 00:30 | |
| Lunch | 13:00 | 13:30 | 00:30 | ||
| 04 | Networking in GCP (VPC, VPN, Firewalls) and Demo/Lab | 13:30 | 15:00 | 01:30 | |
| 05 | Virtual Machines in GCP (Compute Engine, Kubenetes Engine, Cloud Functions and App Engine) | 15:00 | 16:30 | 01:30 | |
| 05 | Resource Management | 16:30 | 17:00 | 00:30 | |
Day Two
8 Hours
| DAY 2 | Module | Subject | Start | End | Total Time (in hours) |
| 06 | Data Storage Services | 09:00 | 09:30 | 00:30 | |
| 06 | Data Storage Services, Migrating Data | 09:30 | 12:00 | 02:30 | |
| 07 | Stackdriver Monitoring | 12:00 | 13:00 | 01:00 | |
| Lunch | 13:00 | 13:30 | 00:30 | ||
| 07 | Stackdriver Logging, Error Reporting, Tracing, Debugging | 13:30 | 16:00 | 02:30 | |
| 08 | Interconnecting Networks | 16:00 | 17:00 | 01:00 | |
| Total Lecture | 8:00 |
Day Three
8 Hours
| DAY 3 | Module | Subject | Start | End | Total Time (in hours) |
| 08 | Load Balancing and Autoscaling | 09:00 | 09:30 | 00:30 | |
| 09 | Infrastructure Automation (Deployment Manager) | 09:30 | 10:30 | 01:00 | |
| 10 | Managed Services (Cloud Dataflow, Cloud Dataproc, etc) | 10:30 | 11:00 | 00:30 | |
| Lunch | 13:00 | 13:30 | 00:30 | ||
| 11 | GCP Application Development, Application Infrastructure Services, App Engine APIs and API Gateways | 13:30 | 15:00 | 02:30 | |
| 12 | GCP Cloud Architecture Exercises and Whiteboards | 15:00 | 16:30 | 01:30 | |
| 13 | Cloud Certification Overview | 16:30 | 17:00 | 00:30 | |
| Total Lecture | 8:00 |