Google Cloud Platform Developer Bootcamp (Part 2 of 2 )
Google Cloud Platform Developer Bootcamp
Updated on Sep, 2023
Language - English
Course Description
Why Google Cloud Platform?
According to Global Knowledge’s Survey for 2018 a GCP Cloud Professionals had the highest salary at $139,529. Getting Google Cloud Certified or even just learning more can add value to your career earnings.
A Professional Cloud Developer builds scalable and highly available applications using Google recommended practices and tools that leverage fully managed services. This individual has experience with next generation databases, runtime environments and developer tools. They also have proficiency with at least one general purpose programming language and are skilled with using Stackdriver to produce meaningful metrics and logs to debug and trace code.
This course is meant to be a course developed to be targeted for taking the Google Cloud Professional Cloud Developer Exam. Content is fresh and has been customized for the exam materials.
It would be expected or at a minimum to have experience with Google Cloud and be a developer. Course has compressed the study objectives listed by Google Cloud and we have taken the Cloud Developer exam. The exam is very challenging and will challenge the "average" developer in many respects but mainly around how well you understand GCP best practices and services.
GCP Beginners. Some minor experience would be helpful since this course does not spend much time on GCP 100 materials
- Existing Cloud Developers
- Existing Data Engineers and Administrators
- Programmers Interested in Deploying Applications on GCP
- People interested in hosting highly scaleable, fault tolerant applications (such as SQL and Joomla) on the GCP platform IaaS or PaaS.
- Taking the GCP exam and need to get certified Quickly...
Goals
What will you learn in this course:
- Preparing for Cloud Developer Certification exam.
- Student wants to learn Google Cloud platform to develop and deploy applications on Google Cloud.
- Understand Google Compute Services to deploy applications
- Use of different databases in programming
- Google Network, Security , APIs , Deployment Manager, Cloud Build CI and CD
- Cloud Repository, Container Registry , Developer Tools
Prerequisites
What are the prerequisites for this course?
- You should be software developer, Programmer
- Basic Concepts of Cloud will be good to understand but not necessary.
Curriculum
Check out the detailed breakdown of what’s inside the course
Deploying Applications
52 Lectures
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3.1 Implementing appropriate deployment strategies based on the target compute environment
00:25
00:25
-
Blue/green deployments, Traffic-splitting deployments Rolling deployments, Canary deployments
05:45
05:45
-
Whiteboard - App Engine
07:33
07:33
-
Demo App Engin A/B Testing
03:01
03:01
-
3.2 Deploying applications and services on Compute Engine
01:02
01:02
-
Demo - Launching a compute instance using GCP Console and Cloud SDK
08:06
08:06
-
Whiteboard - Moving a persistent disk to different VM
05:56
05:56
-
Demo - Creating an autoscaled managed instance group using an instance template
10:54
10:54
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Demo - Generating/uploading a custom SSH key for instances
03:45
03:45
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Demo - Configuring a VM for Stackdriver monitoring and logging
05:19
05:19
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Demo - an instance with a startup script that installs software
02:55
02:55
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Demo - Creating custom metadata tags
05:00
05:00
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Demo - Creating a load balancer for Compute Engine instances
09:31
09:31
-
3.3 Deploying applications and services on Google Kubernetes Engine
00:34
00:34
-
Demo - Deploying a GKE cluster
03:56
03:56
-
Deploying a containerized application to GKE
02:50
02:50
-
Demo - Configuring GKE application monitoring and logging
03:05
03:05
-
Demo - Creating a load balancer for GKE instances
04:12
04:12
-
Building a container image using Cloud Build
02:23
02:23
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Demo - SDK Update
02:05
02:05
-
Test Tips
02:03
02:03
-
3.4 Deploying an application to App Engine
00:22
00:22
-
Scaling configuration, Versions, Traffic splitting, Blue/green deployment
10:14
10:14
-
App Engine or Kubernetes
08:15
08:15
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Test Tips 1
02:54
02:54
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3.5 Deploying a Cloud Function
00:21
00:21
-
Cloud Functions that are triggered (Event and Http)
04:46
04:46
-
Codelabs - Cloud Functions
01:55
01:55
-
Test Tips 2
03:16
03:16
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3.6 Creating data storage resources
00:32
00:32
-
Creating a Cloud Repository
02:47
02:47
-
Creating a Cloud SQL instance
04:25
04:25
-
Creating composite indexes in Cloud Datastore
13:18
13:18
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Demo - Creating BigQuery datasets
02:48
02:48
-
Whitepaper Cloud Spanner
01:20
01:20
-
Demo - Creating a Cloud Storage bucket
06:40
06:40
-
Demo - Creating a Cloud Pub/Sub topic
05:18
05:18
-
Test Tips 3
01:14
01:14
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3.7 Deploying and implementing networking resources
00:27
00:27
-
Creating an auto mode VPC with subnets and Creating ingress and egress firewall rules for a VPC
03:34
03:34
-
Setting up a domain using Cloud DNS
04:25
04:25
-
Test Tips 4
00:42
00:42
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3.8 Automating resource provisioning with Deployment Manager
00:18
00:18
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Deployment Manager
01:32
01:32
-
Demo Deployment Manager
06:42
06:42
-
Test Tips 5
00:57
00:57
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3.9 Managing Service accounts. Tasks include:
00:18
00:18
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Demo - Creating a service account with a minimum number of scopes require
03:38
03:38
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Demo Downloading and using a service account private key file
02:55
02:55
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Test Tips 6
03:21
03:21
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Codelabs
00:53
00:53
-
Section Review Questions
08:41
08:41
Integrating Google Cloud Platform Services
37 Lectures
Managing Application Performance Monitoring
45 Lectures
Instructor Details
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