Google Cloud Platform Professional Cloud Developer Bootcamp

Google Cloud Platform Certification - A way to distinguish your self in the AWS world!

What you'll learn
How to obtain the Google Cloud Platform Cloud Developer Certification
Understand what the objectives are for the Cloud Developer Certification
Deploy best practices for application development
Choose the appropriate data storage option for application data
Implement federated identity management
Develop loosely coupled application components or microservices
Debug, trace, and monitor applications
Requirements
Developers that have experience with Google Cloud Platform
Developers reading to take the Google Cloud Platform Cloud Developer Exam
Developers who need to get certified in a leading cloud certification
Description
Course updated 02/04/2022A 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 been 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.  All Exam Objectives covered. Course has a FREE introduction to Google Cloud section.  Section 1: Designing highly scalable, available, and reliable cloud-native applications Section 2: Building and Testing ApplicationsSection 3: Deploying applicationsSection 4: Integrating Google Cloud Platform Services Section 5: Managing Application Performance MonitoringCertification TestTips, demos galore. Joseph Holbrook. TechCommanders and GCPGurus

Overview

Section 1: Introduction to Course

Lecture 1 Introduction

Lecture 2 Course Prerequisites to be successful

Lecture 3 What is a GCP Professional Cloud Developer?

Lecture 4 Cloud Developer Exam Objectives

Lecture 5 Cloud Developer Deep Dive Notes

Lecture 6 Course Setup

Section 2: Course Readiness

Lecture 7 Course Material Download

Lecture 8 What are Test Tips?

Lecture 9 Whiteboards and Demos

Lecture 10 Sign up for Free Tier or Credits if available

Lecture 11 GCP Pricing Calculator

Lecture 12 SDK Install

Lecture 13 Read the GCP Cloud Developer Deep Dive Notes.

Section 3: Introduction to Google Cloud Platform

Lecture 14 Google Cloud Intro (Condensed Version)

Lecture 15 GCP Hierarchy

Lecture 16 Whiteboard GCP Hierarchy

Lecture 17 Demo - Projects

Lecture 18 Compute Options

Section 4: Compute Engine

Lecture 19 Compute Engine

Lecture 20 Compute Engine Demo

Lecture 21 Instance Groups

Lecture 22 Instance Groups Demo

Section 5: App Engine - PaaS

Lecture 23 App Engine Security Scanner

Lecture 24 App Engine Demo

Lecture 25 App Engine or Kubernetes Engine

Section 6: Kubernetes Engine

Lecture 26 Kubernetes Engine

Lecture 27 Demo- Kubernetes Engine

Lecture 28 Whiteboard - Kubernetes

Section 7: Cloud Functions

Lecture 29 Cloud Functions Basics

Lecture 30 Cloud Functions Demo

Section 8: Cloud Storage

Lecture 31 Data Storage Basics

Lecture 32 Cloud Storage Basics

Lecture 33 Cloud Storage

Lecture 34 Cloud Storage Demo Part2

Section 9: Networking

Lecture 35 Networking Overview

Lecture 36 VPC Overview

Lecture 37 IP Addressing

Lecture 38 Networking Whiteboard

Lecture 39 Networking Demo

Lecture 40 VPC Whiteboard

Lecture 41 Hybrid Connectivity Networking Whiteboard

Section 10: Developing on Google Cloud Platform

Lecture 42 Download SDK

Lecture 43 Devops on GCP Part 1

Lecture 44 Devops on GCP Part 2

Lecture 45 Cloud Source Repositories Demo

Lecture 46 Cloud Build Demo

Lecture 47 Demo Gcloud Commands

Section 11: 1. Designing highly scalable, available, and reliable cloud-native applications

Lecture 48 Section 1 Coverage

Lecture 49 1.1 Designing performant applications and APIs

Lecture 50 Infrastructure as a Service vs. Container as a Service vs. Platform as a Service

Lecture 51 Portability vs. platform-specific design

Lecture 52 Evaluating System Considerations

Lecture 53 Operating system versions and base runtimes of services

Lecture 54 Service Locality

Lecture 55 Whiteboard Service Locality

Lecture 56 Locality Test Tips

Lecture 57 Microservices

Lecture 58 Whiteboard- Microservices

Lecture 59 Testips - Microservices

Lecture 60 Defining a key structure for high write applications using Cloud Storage, Cloud

Lecture 61 Defining a key structure Test Tips

Lecture 62 Session management

Lecture 63 Test Tips Session Management

Lecture 64 Loosely coupled applications using asynchronous Cloud Pub/Sub events

Lecture 65 Demo Pub Sub

Lecture 66 Test Tips Cloud Pub Sub

Lecture 67 Deploying and securing an API with cloud endpoints

Lecture 68 Demo Cloud Endpoints

Lecture 69 Test Tips -API Management

Lecture 70 Health checks

Lecture 71 TestTips Healthchecks

Lecture 72 Google-recommended practices and documentation

Lecture 73 1.2 Designing secure applications

Lecture 74 Applicable regulatory requirements and legislation

Lecture 75 TestTips Regulatory Requirements

Lecture 76 Security mechanisms that protect services and resources

Lecture 77 TestTips Security Mechanisms

Lecture 78 Storing and rotating secrets

Lecture 79 Secrets Whiteboard

Lecture 80 TestTips Secrets

Lecture 81 IAM roles for users/groups/service accounts

Lecture 82 IAM Whiteboard

Lecture 83 TestTips IAM

Lecture 84 HTTPs certificates

Lecture 85 Test Tips Https Certificates

Lecture 86 Demo Https Certificates

Lecture 87 Google-recommended practices and documentation

Lecture 88 1.3 Managing application data.

Lecture 89 Defining database schemas for Google-managed databases

Lecture 90 TestTips Defining Schema

Lecture 91 Session Management

Lecture 92 TestTips Session Management

Lecture 93 Loosely Coupled Apps – Cloud Pub/Sub

Lecture 94 Demo - Loosely Coupled Apps – Cloud Pub/Sub

Lecture 95 Whiteboard - Cloud Pub/Sub

Lecture 96 TestTips Loosely Coupled Apps – Cloud Pub/Sub

Lecture 97 Deploying and securing an API with cloud endpoints

Lecture 98 Demo Deploying and securing an API with cloud endpoints

Lecture 99 TesTips Deploying and securing an API with cloud endpoints

Lecture 100 TestTips Health Checks

Lecture 101 Health Checks

Lecture 102 Choosing data storage options based on use case considerations

Lecture 103 TestTips Data Storage

Lecture 104 Working with data ingestion systems

Lecture 105 TestTips Data Ingestion

Lecture 106 Following Google-recommended practices and documentation

Lecture 107 1.4 Re-architecting applications from local services to Google Cloud Platform.

Lecture 108 Using managed services

Lecture 109 Using the strangler pattern for migration

Lecture 110 Strangler Whiteboard

Lecture 111 Codelabs - Exercise for Practice- Cloud Functions

Lecture 112 Codelabs - Cloud Pub/sub

Lecture 113 Google-recommended practices and documentation

Lecture 114 Section Review Questions

Section 12: 2. Building and Testing Applications

Lecture 115 Section 2 Building and Testing Applications

Lecture 116 2.1 Setting up your development environment.

Lecture 117 Local application development emulations

Lecture 118 Developer Tools and SDK

Lecture 119 Demo SDK Install and basic commands

Lecture 120 Demo SDK Emulators

Lecture 121 TesTips SDK

Lecture 122 Creating GCP projects

Lecture 123 Demo CLI Create Project

Lecture 124 TestTips Create Project

Lecture 125 2.2 Building a continuous integration pipeline

Lecture 126 Creating a Cloud Source Repository and committing code to it

Lecture 127 DevOps and Pipelines

Lecture 128 Developing unit tests for all code written

Lecture 129 Developing an integration pipeline using services

Lecture 130 Reviewing test results of continuous integration pipeline

Lecture 131 TestTips

Lecture 132 Whiteboard - DevOps

Lecture 133 2.3 Testing. Considerations include:

Lecture 134 Performance Testing

Lecture 135 Whiteboard Testing

Lecture 136 TestTips Testing

Lecture 137 2.4 Writing code

Lecture 138 Algorithm design

Lecture 139 Modern application patterns

Lecture 140 Efficiency

Lecture 141 TestTips

Lecture 142 Section Review Questions

Section 13: 3. Deploying applications

Lecture 143 Section 3

Lecture 144 3.1 Implementing appropriate deployment strategies based on the target compute

Lecture 145 Blue Green Deployments

Lecture 146 Whiteboard App Engine

Lecture 147 Demo App Engine

Lecture 148 3.2 Deploying applications and services on Compute Engine

Lecture 149 Launching a compute instance using GCP Console and Cloud SDK

Lecture 150 Moving a persistent disk to different VM

Lecture 151 Creating an autoscaled managed instance group using an instance template

Lecture 152 Generating/uploading a custom SSH key for instances

Lecture 153 Configuring a VM for Stackdriver monitoring and logging

Lecture 154 Creating an instance with a startup script that installs software

Lecture 155 Creating custom metadata tags

Lecture 156 Creating a load balancer for Compute Engine instances

Lecture 157 3.3 Deploying applications and services on Google Kubernetes Engine

Lecture 158 Deploying a GKE cluster

Lecture 159 Kubenetes Engine Whiteboard

Lecture 160 Kubenetes Engine Clusters Demo

Lecture 161 TestTips

Lecture 162 3.4 Deploying an application to App Engine. Considerations include:

Lecture 163 Scaling configuration

Lecture 164 GKE or App Engine

Lecture 165 TestTips App Engine

Lecture 166 Cloud Functions that are triggered via an event

Lecture 167 Cloud Functions that are invoked via HTTP

Lecture 168 3.6 Creating data storage resources. Tasks include:

Lecture 169 Creating a Cloud SQL instance

Lecture 170 Cloud Datastore

Lecture 171 Creating BigQuery datasets

Lecture 172 Creating a Cloud Storage bucket

Lecture 173 Creating a Cloud Pub/Sub topic

Lecture 174 TestTips Create data storage

Lecture 175 3.7 Deploying and implementing networking resources. Tasks include: Creating an

Lecture 176 Creating an auto mode VPC with subnets

Lecture 177 Setting up a domain using Cloud DNS

Lecture 178 TestTips Networking

Lecture 179 3.8 Automating resource provisioning with Deployment Manager

Lecture 180 Deployment Manager

Lecture 181 Deployment Manager Demo

Lecture 182 TestTips

Lecture 183 3.9 Managing Service accounts. Tasks include: Creating a service account with a

Lecture 184 Service Accounts

Lecture 185 Save KeyFile

Lecture 186 Codelabs

Lecture 187 TestTips

Lecture 188 Section Review Questions

Section 14: 4. Integrating Google Cloud Platform Services

Lecture 189 Section 4 Overview

Lecture 190 4.1 Integrating an application with Data and Storage services.

Lecture 191 Enable Bigquery and permissions on dataset

Lecture 192 SQL Searches/Selects

Lecture 193 Whiteboard- Fetching Ingesting data

Lecture 194 Codelab -Biquery

Lecture 195 BigTable or BigQuery

Lecture 196 Writing an SQL query to retrieve data from relational databases

Lecture 197 Connecting to SQL

Lecture 198 Gsutil Storing and retrieving objects from Google Storage

Lecture 199 Quickstart - Cloud Storage GsUtil

Lecture 200 Connecting to a Cloud SQL instance

Lecture 201 Enabling Cloud Spanner and configuring an instance

Lecture 202 Cloud Spanner Whitepaper

Lecture 203 Demo -Cloud Spanner

Lecture 204 Cloud Spanner Best Practices

Lecture 205 DataProc or Dataflow

Lecture 206 TestTips

Lecture 207 Configuring a Cloud Pub/Sub push subscription to call an endpoint

Lecture 208 Data Ingestion Sources

Lecture 209 4.2 Integrating an application with compute services. Tasks include:

Lecture 210 Provisioning and configuring networks

Lecture 211 Writing an application that publishes/consumes from Cloud Pub/Sub

Lecture 212 Authenticating users by using Oauth2 Web Flow and Identity Aware Proxy

Lecture 213 Reading instance metadata to obtain application configuration

Lecture 214 TestTips Oath

Lecture 215 4.3 Integrating Google Cloud APIs with applications. Tasks include:

Lecture 216 Enable API

Lecture 217 Using Pre Trained ML APIS

Lecture 218 Using service accounts to make Google API calls

Lecture 219 Using APIs Calls

Lecture 220 Making API calls

Lecture 221 Using the Cloud SDK to perform Basic Tasks

Lecture 222 DLP API

Lecture 223 TestTips

Lecture 224 Section Review Questions

Section 15: Section 5. Managing Application Performance Monitoring

Lecture 225 Section 5 Overview

Lecture 226 Objectives 5.1 Installing Monitoring and Logging

Lecture 227 Install Stackdriver Monitoring Agent

Lecture 228 Objectives 5.2

Lecture 229 Debugging a VM image with serial port

Lecture 230 Using the CLI tools

Lecture 231 Analyzing a failed VM instance

Lecture 232 Sending Logs from a VM

Lecture 233 TestTips

Lecture 234 Objectives 5.3

Lecture 235 Monitoring Dashboard and Views

Lecture 236 Create Monitoring Dashboard Stackdriver

Lecture 237 Viewing Logs In Console

Lecture 238 Viewing Syslogs from a VM

Lecture 239 Streaming Logs

Lecture 240 Creating Logging Sinks

Lecture 241 Create Custom Metrics

Lecture 242 Graphing Metrics

Lecture 243 Using Stackdriver Debugger

Lecture 244 Review Stack Traces

Lecture 245 TestTips

Lecture 246 Objectives 5.4

Lecture 247 Setting Up time checks and basic alerts

Lecture 248 Troubleshooting Network Issues

Lecture 249 API Debbugging

Lecture 250 Codelab Networking For Developers

Lecture 251 Review App Performance Stackdriver

Lecture 252 Troubleshooting Image and OS

Lecture 253 Docs and Support

Lecture 254 TestTips

Lecture 255 Section Review Questions

Section 16: Case Study - Hiplocal

Lecture 256 Case Study Overview

Lecture 257 Case Study Sample Questions

Lecture 258 TestTips

Section 17: Resources to help Study and Tips to Prepare!

Lecture 259 Pricing Calculator

Lecture 260 Qwiklabs

Lecture 261 Codelabs Free to Use

Lecture 262 Stackoverflow

Lecture 263 Project Treehouse

Lecture 264 GCP Pricing Calculator

Lecture 265 GCP Stencils and Icons

Lecture 266 Gcping

Section 18: Practice Exam

Lecture 267 Bonus Lecture- Additional Practice Exams

Section 19: Course Closeout

Lecture 268 Top Ten Things to Focus on the Cloud Developer Exam 12/2018

Lecture 269 Deep Dive Notes for exam

Lecture 270 Comparing AWS to GCP Certifications

Lecture 271 Good Luck and Course Closeout

Developers that have experience with Google Cloud Platform,pplication developers who want to build cloud-native applications or redesign existing applications that will run on Google Cloud Platform