$125 | Duration: 3h 10m | Video: h264, 1920x1080 | Audio: AAC, 48kHz, 2 Ch | 2.2 GB

Genre: eLearning | Language: English | April 30, 2019

Learn to migrate and build highly scalable, reliable applications that leverage Google’s planet-scale infrastructure

Video Description

Want to learn how to architect and deploy applications on Google Cloud Platform (GCP)? This course will show you how to deploy your application to GCP.

First, you will run the same application in different ways on GCP. Then you’ll learn how to choose the right package and take advantage of the scale and reliability of GCP. Moving on, you’ll work with App Engine and Containers with a dash of Cloud Functions to discover the future of cloud computing.

By the end of this course, you’ll know how to architect and deploy applications on GCP.

All the code and supporting files for this course are available at:

Style and Approach

This course will give you the essential knowledge to choose the right GCP solution for your application and show you how to move from a traditional, on-premises application to be cloud-ready, scalable and resilient. You will understand the essential GCP concepts and be ready to learn more advanced techniques.

Table of Contents

GETTING STARTED WITH GOOGLE CLOUD PLATFORM

INTRODUCTION TO THE WORLD’S LARGEST AND FASTEST PRIVATE NETWORKS

IDENTITY AND SECURITY

INTRODUCTION TO PLANET SCALE COMPUTING

STORAGE AND DATABASE

WORKING WITH BIG DATA

ARTIFICIAL INTELLIGENCE AND DEVELOPER TOOLS

CONNECTING THE DOTS

What You Will Learn

Explore the various options of interacting with GCP services

Deploy an application with multiple components to GCP using GCE, GAE, and GKE

Choose the right storage and database technology for your application

Focus on the actions you need to know to build scalable, reliable applications using GCP

Transform the application to AI-driven application by leveraging Google’s fast, large-scale, and easy-to-use AI products and services

Authors

Zandre Schalkwyk

Zandre Schalkwyk is full-stack developer, a team lead, mentor, wannabe data engineer, and machine learning expert. He has more than 3 years’ experience in the field of technology. He is a certified GCP specialist and has recently started conducting lectures on it, where he trains others on how to pass the certification exam.