Google Cloud Architect

What you’ll learn

• Develop an in-depth understanding of the Google Cloud Platform.
• Explore a multitude of GCP services, including Networking, Storage, Databases, Containers, Virtual Machines, App Engine, and Security.
• Master the GCP Compute Service, covering Virtual Machine (GCE), App Engine (GAE), Google Kubernetes Engine(GKE), and Google Cloud Function.
• Delve into GCP Networking, unraveling concepts like VPC, CDN, Interconnect, and DNS.
• Familiarize yourself with GCP Management Tools, including Stackdriver Monitoring, Logging, Trace, Error Reporting, Deployment Manager, Shell, Console, and Cloud SDK.
• Navigate GCP Storage & Database Services, encompassing Cloud Storage, Cloud SQL, Cloud BigQuery, Cloud Spanner, Cloud DataStore, and Cloud Spanner.
• Strengthen your grasp of GCP IAM and Security through Cloud IAM, KMS, Resource Manager, and Security Scanner.
• Harness the power of Google Cloud Operations and Analytics services through practical demonstrations.

Who this course is for:
• You’re eager to gain a comprehensive understanding of the Google Cloud Platform (GCP).
• You aim to grasp the nuances of Public Cloud, Private Cloud, and Hybrid Cloud Deployments.
• You seek a broad understanding of the services offered by the Google Cloud Platform.
• You’re a current customer of Google Cloud Platform, desiring a deeper understanding of the services provided.
• Customers of Amazon, Azure, or any other public cloud who wish to explore GCP services are welcome.
• Developers, lead developers, or anyone utilizing Google Cloud Platform services, or other public cloud services.

COURSE CONTENT:
Course Highlights:

• Introduction to GCP:
◦ GCP Infrastructure Overview.
◦ Understanding GCP Regions and Zones.

• Getting Started with Google Cloud:
◦ Interacting with Google Cloud via Cloud Console.
◦ Cloud SDK, API Interfaces, Cloud Mobile App.
◦ Getting Started with Cloud Shell and Gcloud.
◦ Resource Hierarchy Setup: Organization, Folder, Project.
◦ Cloud Identity: User and Groups

• Identity and Access Management (IAM) in Google Cloud:
◦ IAM Policy and IAM Role.
◦ Typical Organization-level Roles and Common service-level roles.
◦ IAM Conditions and Using Groups for IAM.
◦ Service Account in Google Cloud.

• Google Cloud Networks:
◦ Virtual Private Network, IP Addressing, Network Concepts.
◦ Creating VPC Network and Compute Engine.
◦ VPC Design, Subnet Creation, and Network Peering.
◦ Shared VPC, Cloud HA VPN, and Google Cloud Firewall.

• Serverless and Containers:
◦ Cloud Functions, App Engine, Knative, and Cloud Run.
◦ Comparison with Virtualization and Shared Hosts.
◦ Kubernetes Engine (GKE) Architecture and Kubernetes – Demo

Google Cloud Storage:
• Key Terms, Features, and Storage Classes.
• Creating a Cloud Storage Bucket.
• Block Storage and Filestore.

• Google Cloud Database:
◦ Managed Database Products, Cloud SQL, Spanner, Bigtable, Memorystore, Firestore.
◦ Autoscaling, Clustering, and Backup/DR Services,Load Balancing.
◦ Instance Groups, Backup, Replica, Snapshot

• Google Cloud Analytics:
◦ Data Transfer Service and Cloud Analytics
◦ Data Layers, Scalability, and Big Data Reference Architecture.
◦ Big Query, Pub/Sub, Dataproc Job, and Looker and Cloud Scheduler.

• Automation and Security:
◦ Foundation Stakeholders, Infrastructure as Code (IaC), and IaC Tool Landscape.
◦ Testing Terraform Code, Deployment Manager and CI/CD Architecture.
◦ Cloud Build, Source Repository and Types of CI/CD.
◦ Infrastructure and Application Pipeline.
◦ Guardrail Toolbox, Organization Policy, Roles and Permissions.
◦ VPC Service Control, Policy as Code, Terraform Policy Enforcement.
◦ Modern CI/CD Workflow and Cloud Build.

• Google Cloud Armor:
◦ Security Policies, Cloud Armor Rule, DDoS Protection and WAF.
◦ Deployment Modes and Pricing.
◦ Visibility, Telemetry, Cloud Monitoring and Alerting.
◦ Cloud Armor in Security Command Center and Rules Language Specification.

• Google Cloud Security Products:
◦ Data Loss Prevention and Cloud Encryption Key Management.
◦ reCAPTCHA Enterprise, Security Command Center and Security Health Analytics.
◦ Event Threat Detection, Container Threat Detection and Feature Matrix.

• Google Cloud Instrumentation:
◦ Cloud Logging and Monitoring Pricing.
◦ Cloud Audit Logs, Ops Agent, VPC Flow Logs.
◦ Integrations, Log Sinks, Aggregation Logs, Cloud Monitoring.
◦ Infrastructure Summary, and Alerting.
◦ Error Reporting and Log Exclusions.
◦ Alerting Policies, Uptime Checks, Debugger, Profiler, and Tracing.

COURSE DESCRIPTION:
Embark on Your Cloud Journey: Google Cloud Platform Certification Course
In the ever-expanding landscape of public cloud services, Google Cloud takes center stage, witnessing a surge in demand for certified professionals. Remarkably, the Professional Cloud Architect certification stands as one of the most lucrative certifications. For those venturing into the cloud or Google Cloud for the first time, Google Cloud Platform certification offers an ideal starting point, serving as a gateway to advanced Professional-level certifications.

This meticulously crafted course is designed to prepare you comprehensively for the Google Cloud Platform exam. It covers all major Google Cloud services featured on the test, including Compute Engine, App Engine, Kubernetes Engine, Cloud Functions, Cloud SQL, BigQuery, Bigtable, VPCs, VPNs, Cloud Operations Suite, machine learning in BigQuery, and more. To reinforce theoretical knowledge, follow along and gain hands-on experience with Google Cloud through the cloud console or command line utility.

In this course, you will acquire skills to:
• Create and configure virtual machine instances in Compute Engine using both the Cloud Console and the command line.
• Delve into Identity and Access Management (IAM), a crucial component of the exam.
• Cultivate decision-making skills for selecting among compute, storage, and networking options.
• Familiarize yourself with the exam structure and effective study strategies, including insights into additional study resources.
• Enhance your system management and DevOps skills by understanding how to monitor applications in the cloud.
• Grasp how machine learning and AI are seamlessly integrated into Google Cloud services, with a particular focus on BigQuery.
Utilizing a blend of demonstrations and lectures, this course ensures not only a practical understanding of working in Google Cloud but also a deep comprehension of its fundamental design and operational concepts. This approach empowers you to navigate challenging exam questions, assessing your understanding of Google Cloud’s overall design and recommended best practices.
With a wealth of knowledge ahead, let’s embark on this exciting learning journey together!