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Janani Ravi, Vitthal Srinivasan, and Howard Dierking

This skill path covers all the objectives needed to be a Cloud Architect on Google Cloud. You will learn in depth how to use the products and services as well as how to complete the most common tasks such as provisioning IaaS services, working with cloud functions and containers in depth, networking, security, deployment, architecture, and more in GCP. Although this path aligns with the topics for the GCP Cloud Architect Professional exam, it is not a cert exam prep course. This is a path to teach the practical on the job skills for Data on GCP.

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This skill path covers all the objectives needed to be a Cloud Architect on Google Cloud. You will learn in depth how to use the products and services as well as how to complete the most common tasks such as provisioning IaaS services, working with cloud functions and containers in depth, networking, security, deployment, architecture, and more in GCP. Although this path aligns with the topics for the GCP Cloud Architect Professional exam, it is not a cert exam prep course. This is a path to teach the practical on the job skills for Data on GCP.

What You'll Learn

  • Compute
  • Storage
  • Google App Engine
  • Google Kubernetes Engine
  • Google Cloud Functions
  • Networking and VPC’s
  • Load Balancing
  • Logging, Monitoring, and Debugging
  • IAM
  • Managed Instance Groups
  • Deployment
  • Billing
  • Security
  • Architectural Patterns
  • Enroll now

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    What's inside

    13 courses

    Choosing and Implementing Google Cloud Compute Engine Solutions

    (1 hours)
    As cloud computing grows in popularity, the first use-case is the provisioning and managing of cloud compute virtual machines. This course will show you the advantages of cloud VM instances on the Google Cloud Platform over on-premise machines.

    Architecting Scalable Web Applications Using Google App Engine

    (1 hours)
    App Engine is the PaaS offering on the GCP and is ideal for developers seeking to build and deploy web applications while staying focused on writing code. In this course, you will learn about the App Engine's Standard and Flexible Environments.

    Streamlining API Management Using Google Apigee

    (1 hours)
    This course covers working with Apigee, an API management platform that enables providers to design, secure, deploy, monitor, and scale APIs. Acquired by Google in 2016, Apigee is popular and works seamlessly with Google App Engine.

    Deploying Containerized Workloads Using Google Cloud Kubernetes Engine

    (2 hours)
    This course covers the Google Kubernetes Engine (GKE), a managed Kubernetes service for deploying containerized workloads on Google Cloud Platform. It introduces core Kubernetes concepts like pods, nodes, and deployments, and explains how to create, manage, and scale clusters using GKE.

    Architecting Event-driven Serverless Solutions Using Google Cloud Functions

    (2 hours)
    In this course, you’ll learn how to deploy serverless functions using Google Cloud Functions with the aid of several triggers. Following this course, you will be very comfortable writing, deploying, and executing Google Cloud Functions.

    Leveraging Network Interconnection Options on the GCP

    (1 hours)
    This course focuses on network interconnections where one or both of the connected networks are on the GCP. This includes peering, interconnect, shared VPCs, and static and dynamic VPN.

    Architecting Global Private Clouds with VPC Networks

    (1 hours)
    This course introduces networking and VPCs on the Google Cloud Platform (GCP), including auto and custom VPCs, subnet design, and advanced features like Shared VPC.

    Leveraging Load Balancing Options on the GCP

    (2 hours)
    Developers and app architects need to understand load balancing options and why. This course covers essential load balancing options on GCP and demonstrates their use with other GCP technologies.

    Leveraging Advanced Networking and Load Balancing Services on the GCP

    (1 hours)
    The GCP offers several services related to networking and load balancing that is used to obtain a highly optimized and scaling infrastructure. Such as Cloud CDN for fast serving of web content and GCP-optimized load balancing for container clusters.

    Regulating Resource Usage Using Google Cloud IAM

    (1 hours)
    This course focuses on designing and implementing role-based access control (RBAC) on the GCP. This includes creating and using service accounts, as well as primitive, predefined, and custom roles.

    Automating Infrastructure Deployment Using Google Cloud Deployment Manager

    (1 hours)
    Cloud Deployment Manager is Google’s service for infrastructure automation, also often referred to as “Infra-As-Code” (IAC). Infra-As-Code services allow us to programmatically provision resources using templates, commands, and constructs such as loops and conditionals.

    Leveraging Google Cloud Armor, Security Scanner and the Data Loss Prevention API

    (2 hours)
    This course focuses on security scanning, protection against DDoS attacks, and security auditing. It also covers the Data Loss Prevention API for protecting sensitive data.

    Implementing Customer Managed Encryption Keys (CMEK) with Google Key Management Service

    (1 hours)
    This course covers creating, validating secrets and keys, and using Google Key Management Service (KMS) to rotate keys, create hierarchies, and work with keys and secrets on the cloud.

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