Google Cloud Platform Boot Camp

Course Code: 1910

$1795

Overview
Schedule classes
What you'll learn
Outline
Prerequisites
Who should attend

Overview

Google’s public cloud offering – Google Cloud Platform (GCP) is gaining popularity, making it important for developers to learn about it. This boot camp covers the ground services from the Google Cloud Platform, and includes labs to help participants practice the concepts learnt during the course.

Schedule Classes

Delivery Format
Starting Date
Starting Time
Duration

Live Classroom
Monday, 26 October 2020
10:00 AM - 6:00 PM EST
3 Days

$1795 Add to cart

Delivery Format
Starting Date
Starting Time
Duration

Live Classroom
Monday, 7 December 2020
10:00 AM - 6:00 PM EST
3 Days

$1795 Add to cart

Looking for more sessions of this class?

Course Delivery

This course is available in the following formats:

Live Classroom
Duration: 2 days

Live Virtual Classroom
Duration: 2 days

What You'll learn

What makes GCP different from other platforms?
Overview of the GCP app engine
Overview of the GCP networking
Understand the GCP Compute Engine
Understand the GCP Kubernetes engine
Overview of the GCP Cloud Functions
Storage options on the GCP
The GCP Stackdriver

Outline

Module 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

Module 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

Module 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

Module 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

Module 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

Module 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

Module 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

Module 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

Prerequisites

There are no prerequisites for this course.

Who Should Attend

This Google Cloud Platform training course is perfect for anyone wanting to gain working knowledge of the Google Cloud Platform. The course is highly recommended for –