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.

GCP also includes a PaaS offering for Kubernetes, which involves containers and orchestrators.

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

Viewing outline for:

Part 1: Google Cloud Platform (GCP)

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

Exercise: Create a GCP account and the first project

Part 2: GCP App Engine

App engine overview
App engine management (requests, routes, instances)
App engine security: how to secure your applications by integrating it with other security services
Microservices on app engine: how to deploy and manage microservices based-applications
Standard environment: creating applications with pre-configured environments
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

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

Part 4: GCP Compute Engine

Compute engine overview
Virtual machine instances: the different types you can create and configure in GCP
Compute engine storage: how to integrate VMs with different storage options and when to use them
Compute engine networking: how networking works for VMs.
Compute engine security (ACL): secure VMs by integrating them with the IAM service and grant access to users
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

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

Exercise: Deploy a containerized application

Part 6: GCP Cloud Functions

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

Exercise: Create an HTTP function interacting with storage

Part 7: GCP Storage Options

Storage options overview
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
How to choose the proper storage option

Exercise: Create MySQL and PostgreSQL instances

Part 8: GCP Stackdriver

Stackdriver monitoring overview
Logging and error reporting
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

Part 1: Google Cloud Platform (GCP)

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

Exercise: Create a GCP account and the first project

Part 2: GCP App Engine

App engine overview
App engine management (requests, routes, instances)
App engine security: how to secure your applications by integrating it with other security services
Microservices on app engine: how to deploy and manage microservices based-applications
Standard environment: creating applications with pre-configured environments
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

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

Part 4: GCP Compute Engine

Compute engine overview
Virtual machine instances: the different types you can create and configure in GCP
Compute engine storage: how to integrate VMs with different storage options and when to use them
Compute engine networking: how networking works for VMs.
Compute engine security (ACL): secure VMs by integrating them with the IAM service and grant access to users
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

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

Exercise: Deploy a containerized application

Part 6: GCP Cloud Functions

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

Exercise: Create an HTTP function interacting with storage

Part 7: GCP Storage Options

Storage options overview
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
How to choose the proper storage option

Exercise: Create MySQL and PostgreSQL instances

Part 8: GCP Stackdriver

Stackdriver monitoring overview
Logging and error reporting
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

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

Google Cloud Platform Boot Camp

Course Overview

Scheduled Classes

What You'll Learn

Outline

Part 1: Google Cloud Platform (GCP)

Part 2: GCP App Engine

Part 3: GCP Networking

Part 4: GCP Compute Engine

Part 5: GCP Kubernetes Engine

Part 6: GCP Cloud Functions

Part 7: GCP Storage Options

Part 8: GCP Stackdriver

Part 1: Google Cloud Platform (GCP)

Part 2: GCP App Engine

Part 3: GCP Networking

Part 4: GCP Compute Engine

Part 5: GCP Kubernetes Engine

Part 6: GCP Cloud Functions

Part 7: GCP Storage Options

Part 8: GCP Stackdriver

Prerequisites

Who Should Attend

Next Step Courses