Google Cloud Certification Workshop: Cloud Architect
Google Cloud Certification Training Description
The workshop is designed to help IT professionals prepare for the Google Certified Professional – Cloud Architect Certification Exam.
In this workshop, we review the exam guidelines, product strategies for the major Google Cloud Platform services, and other related topics covered by the exam. We examine concepts related to Site Reliability Engineering, and review cloud architectures, implementations, and best practices to solve common problems.
Interested in taking this course on demand? Enroll here.
The workshop assumes prior knowledge of Google Cloud Platform (GCP) and is not an introduction to GCP. To see the full Google Cloud Platform curriculum, click here.
Dedicated Onsite Training for Your Team
Have a team of people you are looking to certify? ROI Training will send a Google Authorized Trainer to you and work with you to customize a certification track based on your experience with Google Cloud Platform. Private events are cost effective, customizable, and convenient. Contact us at email@example.com to find out more.
- Prepare for the GCP Cloud Architect certification exam
- Investigate business cases, cost optimization, and product strategies for major GCP services
- Deploy application using Compute Engine, Kubernetes, App Engine, and Cloud Functions
- Choose appropriate GCP storage services
- Examine security and compliance concerns in the cloud
- Explore Site Reliability Engineering and Stackdriver Monitoring
- Analyze GCP best practices and cloud case studies
- Review cloud architectures and implementations to solve common computing use cases
The workshop includes instructor lecture, group activities, case study discussions, practice exams and links to recommended study, videos, and tutorials. Homework assignments are also included to help students further prepare for the exam.
Who Should Attend
IT professionals interested in obtaining the Google Certified Professional – Cloud Architect Certification. Also, architects and consultants who want to learn more about deploying systems that take optimal advantage of the services provided by Google Cloud Platform will benefit from this course.
Prior to taking the Google Cloud Architect Certified Professional exam, students must have experience working with Google Cloud Platform. The exam tests one’s understanding of architecting, provisioning, and managing secure and reliable business solutions that leverage Google Cloud Platform. We strongly recommend candidates take Google’s Architecting with Google Cloud Platform: Infrastructure and Architecting with Google Cloud Platform: Design & Process classes prior to attending this workshop.
Practice Quizzes and Case Study Examples
Included with this course are sample quizzes and numerous case study examples that will help you both prepare for the exam, and have a greater level of understanding of how to architect systems on Google Cloud Platform.
Google Cloud Platform Training Outline
Module 1: Cloud Architect Certification Overview
- Exercise: Creating a GCP Account
Module 2: Realizing a Cloud Strategy
- Making the Business Case for Moving to the Cloud
- Measuring the Success of Cloud Projects
- Architecting Cloud Applications to Optimize High Availability, Scalability, Security, Disaster Recovery, and Cost
Module 3: Cloud Solution Infrastructure
- Migrating to the Public Cloud
- Exercise: GCP Networking
- Interacting with Google Cloud Platform
- Deploying Applications Using Google Compute Services
- Exercise: Compute Engine Virtual Machines
- Exercise: Disks, Snapshots and Images
- Exercise: Load Balancing and Autoscaling
- Setting Up Networks to Control Access to our Machines and Services
- Automating Deployments Using Google App Engine
- Exercise: App Engine
- Deploying Hybrid Cloud Applications Using Google Kubernetes Engine and Kubernetes
- Exercise: Docker and Kubernetes
- Building Microservices Using Google Cloud Functions
- Exercise: Cloud Functions
Module 4: Storage and Big Data Solutions
- Storing Binary Data Using Cloud Storage
- Exercise: Google Cloud Storage
- Storing Relational Data with Cloud SQL and Spanner
- Storing NoSQL Data with BigTable, Firestore, Datastore and Memorystore
- Warehousing and Analyzing Data Using Google BigQuery
- Exercise: BigQuery
- Determining the Right Google Cloud Storage Service for Various Use Cases
Module 5: Security and Compliance
- Leveraging What Google Provides for Securing Our Applications
- Assessing the Risks of Moving to Google Cloud Platform
- Controlling Who Has Access to your GCP Projects with Identity Access Management
- Securing Data Stored in GCP
- Following Security Best Practices in the Cloud
Module 6: Monitoring in the Cloud
- Monitoring Cloud Resources and Applications
- Leveraging Stackdriver Monitoring Services
Module 7: Managing Cloud Applications
- Deploying Applications Using Site Reliability Engineering Best Practices
- Architecting Service-Oriented and Microservice Cloud Applications
- Automating Deployments and Upgrades Using DevOps Features Built into Google Cloud Platform
- Analyzing Common GCP Application Design Patterns
Module 8: Case Studies