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Google Cloud Platform Boot Camp

2 Days Classroom Session   |  
2 Days Live Online
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This course can be tailored to your needs for private, onsite delivery at your location.

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Professional Credits


ASPE is an IIBA Endorsed Education Provider of business analysis training. Select Project Delivery courses offer IIBA continuing development units (CDU) in accordance with IIBA standards.


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Google Cloud Platform (GCP) is the public cloud offering from Google, and it's rapidly becoming more and more important for developers to learn about. Just using GCP’s core services will give you everything you need to begin your journey to the cloud. You can start with GCP’s infrastructure as a service (IaaS), creating virtual machines with the resources you need.

Like other cloud providers, with GCP, you only pay for what you use. GCP has a pricing structure that rewards you for using it—the more you use, the bigger your discount. And it's worth mentioning that GCP integrates natively with other Google products like Gmail, Docs, and Hangouts.

If you don't want or need to administer servers, GCP also has a platform as a service (PaaS) offering, which lets Google manage your infrastructure. While you’ll always share that responsibility with Google, the idea is that you can focus on creating cool products and let Google take care of the servers. You can spin up a MySQL or a PostgreSQL database in just a few clicks and start using it in your application.

But what's perhaps garnering the most attention in GCP is the PaaS offering for Kubernetes. It’s not a surprise that this is being offered; after all, Google has been using containers and orchestrators for several years now. There's no doubt that GCP has the best offering for Kubernetes as a managed service.

Last but not least, GCP also offers serverless services that allow you to upload your code and let Google handle the infrastructure at the scale you need.

In this course, we'll cover the ground services from GCP. You'll also be able to practice what you learn with useful labs.

Upcoming Dates and Locations
All Live Online times are listed in Eastern Time Guaranteed To Run
Request a quote for private onsite training Request
Oct 24, 2019 – Oct 25, 2019    8:30am – 4:30pm Dallas, Texas Register
Oct 24, 2019 – Oct 25, 2019    9:30am – 5:30pm Live Online Register
Nov 14, 2019 – Nov 15, 2019    8:30am – 4:30pm Indianapolis, Indiana Register
Nov 14, 2019 – Nov 15, 2019    9:30am – 5:03pm Live Online Register
Dec 12, 2019 – Dec 13, 2019    8:30am – 4:30pm San Diego, California Register
Dec 12, 2019 – Dec 13, 2019    11:30am – 7:30pm Live Online Register
Course Outline

Part 1: Google Cloud Platform (GCP)

  1. What makes GCP different?
  2. GCP core fundamentals (services, projects, etc.)
  3. Identity access management (IAM)
  4. GCP console tour​

Exercise: Create a GCP account and the first project

Part 2: GCP App Engine

  1. App engine overview
  2. App engine management (requests, routes, instances)
  3. App engine security: how to secure your applications by integrating it with other security services
  4. Microservices on app engine: how to deploy and manage microservices based-applications
  5. Standard environment: creating applications with pre-configured environments
  6. Flexible environment: creating applications with containers or any other version of the supported languages​

Exercise: Create a hello world with Go

Part 3: GCP Networking

  1. Networking overview
  2. VPC network: how it’s different from traditional networks
  3. Network services: the different ones that GCP offers and how/when to use each one of them
  4. Network tiers: the difference between standard and premium tiers
  5. Network VPN: connect on-prem servers with GCP securely
  6. How security works in networking

Part 4: GCP Compute Engine

  1. Compute engine overview
  2. Virtual machine instances: the different types you can create and configure in GCP
  3. Compute engine storage: how to integrate VMs with different storage options and when to use them
  4. Compute engine networking: how networking works for VMs.
  5. Compute engine security (ACL): secure VMs by integrating them with the IAM service and grant access to users
  6. Creating high availability VMs that are always up and running
    • Load balancers
    • Scaling
    • Regions and zones​

Exercise: Create and manage a VM

Part 5: GCP Kubernetes Engine

  1. Kubernetes Engine overview: learn what is it and why you’d choose the Kubernetes managed service from GCP
  2. Kubernetes clusters: learn how to administer Kubernetes in GCP as a platform
  3. Deploying Kubernetes workloads to GKE
  4. Configuring Kubernetes cluster security
  5. Configuring Kubernetes cluster networking
  6. Working with storage in GKE​

Exercise: Deploy a containerized application

Part 6: GCP Cloud Functions

  1. Cloud functions overview: learn about the serverless offering from GCP
  2. Node.js runtime: learn how to create Node.js functions
  3. Python runtime: learn how to create Python functions
  4. Events and triggers: integrating cloud functions with other GCP services
  5. Adding security to functions​

Exercise: Create an HTTP function interacting with storage

Part 7: GCP Storage Options

  1. Storage options overview
  2. Storage services: learn about the most relevant storage services in GCP
    • Bigtable: No-SQL service for high volumes of data and  performing data analytics
    • Datastore: No-SQL service for high-value transactional data for high traffic applications
    • Firestore: No-SQL service for mobile applications
    • Cloud storage: learn about the object storage service
    • Cloud SQL: the managed service for relational DBs
    • Spanner: the managed horizontal scalable service for relational DBs
  3. How to choose the proper storage option​

Exercise: Create MySQL and PostgreSQL instances

Part 8: GCP Stackdriver

  1. Stackdriver monitoring overview
  2. Logging and error reporting
  3. Stackdriver APM: understanding and improving your applications with the different services from GCP
    • Stackdriver trace: a service used to know how requests are propagated in the application
    • Stackdriver debugger: a service used to know how to debug live running applications
    • Stackdriver profiler: a service used to monitor CPU and heap of applications
Who should attend

This Google Cloud Platform training course is perfect for anyone wanting to gain working knowledge of the Google Cloud Platform. Some roles who would find this course useful include:

  • Developers
  • Data Scientists
  • Network Administrators
  • Systems Administrators
  • IT Managers, IT Directors, CIOs, CTOs

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