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Ultimate Google Cloud Certifications: All in one Bundle (4)

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250,000+ GCP Students, 500+ Questions - Associate Cloud Engineer, Cloud Architect, Cloud Developer, Network Engineer

What does this course teach you?

Introduction
Introduction to this Course Google Cloud Platform Certifications GCP Certifications Covered in this Course Course Motivation Course Structure
Getting around basics of Google Cloud Platform
Google Cloud Platform Overview Getting Started ! - Login and $300 GCP Credit Google Cloud Platform - Infrastructure Services Getting Around : GCP Cloud Console Google Cloud Platform Services Google Cloud Platform interfaces GCP Projects GCP Resources Identity and Access Management Billing Account and Usage Alerts Quota and Limits GCP Infrastructure Services Cloud Shell Cloud SDK Cloud SDK Installations and Setup Cloud API Cloud Launcher GCP Tools Stackdriver Applications
Google Cloud Platform Fundamentals : Core Concepts
Introduction Section 1: Compute Services Overview Compute Engine - Basics Compute Engine - Machine Types Compute Engine - GPU's - Graphic Processing Unit Compute Engine - Disks & VM Storage Compute Engine - VM Images Compute Engine - Instance Templates Compute Engine - Networking Compute Engine - Startup Scripts Compute Engine - Preemptible Virtual Machine Compute Engine - Other Concepts ! Compute engine - Other Concepts in Console ! Compute Engine - Pricing & Discount LAB : Compute Engine Compute Engine Compute Engine in Summary App Engine - Basics App Engine - Services, Version & Instances App Engine - Traffic Splitting App Engine - Standard Environment App Engine - Flexible Environment App Engine - Deployment configuration app.yaml App Engine - Security Scanner Multiple Application Deployment App Engine - Pricing App Engine - Disable App and avoid cloud charges ! Lab : App Engine App Engine in Summary App engine Kubernetes Engine - Basics Kubernetes in Google Cloud Platform. Kubernetes Engine - Cluster Kubernetes Engine - POD Kubernetes Engine - Service Kubernetes Engine - Deployments Kubernetes Engine - Different Types of Clusters Kubernetes Engine - Node Pools Kubernetes Engine - Auto Scaling Kubernetes Engine - Regional and Multizone Clusters Kubernetes Engine - Load Balancing Kubernetes Engine - Node Images Kubernetes Engine - Node Repair Kubernetes Engine - Networking Kubernetes Engine - Labels & Selectors Kubernetes Engine - Local SSD Support Kubernetes Engine - GPU's Support Kubernetes Engine - Other Concepts Avoid Cloud Charges deleting cluster ! Cluster Creation : Other options in Summary ! Kubernetes - Hybrid Env - Anthos Kubernetes Summary LAB - Kubernetes Engine Kubernetes Engine Quiz ! Cloud Function- Basics Google Cloud Function Questions Cloud Run (Beta) - Basics Cloud Run - Service Cloud Run - Revisions Cloud Run - Container Instance Cloud Run - Fully Managed Cloud Run for Anthos Cloud Run in Summary ! Load Balancer - Basics Load Balancer in Cloud Console Load Balancer - Health Check Content Aware Load Balancing Load Distribution Algorithm Load Balancer - Session Affinity Different Types of Load Balancers Load Balancer - Auto Scaling and HA HTTP Load Balancer TCP/SSL Proxy Load Balancer FYI - Network OSI - Simpler form. Regional Internal/External Load Balancer Load Balancer - Pricing Optional - HTTP load Balancer Demo Optional - Demo Clean up ! LAB : Load Balancer Load Balancer Summary GCE - Load Balancing & Auto Scaling Section 2 : Database Services Overview Cloud SQL- Basics Cloud SQL - New Changes Cloud SQL - MYSQL Cloud SQL -PostgreSQL Cloud SQL - Performance Cloud SQL - Backup and Restore Cloud SQL : Logging and Point in time recovery ! Cloud SQL - High Availability Cloud SQL - Read Replica and Performance Cloud SQL - Pricing LAB : Cloud SQL Cloud SQL in Summary Cleanup Reminder Cloud Spanner - Basics Cloud Spanner - Features Cloud Spanner - Architecture (Global) Cloud Spanner - Performance Cloud Spanner - Interleaved Tables Cloud Spanner - IAM Cloud Spanner - Cleanup LAB : Cloud Spanner Cloud Spanner - Summary Google Cloud SQL Spanner Persistent Disk Questions Cloud Storage- Basics Cloud Storage - Consistency Model Cloud Storage - Buckets Cloud Storage - Objects Cloud Storage - Storage Class Updates Cloud Storage - Storage Classes Cloud Storage - Object Life-cycle policies Cloud Storage - Data Transfer Services Data Encryption Object Change Notification Cloud Storage - Audit Logging Cloud Storage - IAM Cloud Storage Summary Google Cloud Storage Questions Cloud Firestore Cloud Firestore in Datastore mode Cloud Firestore - Schema Design Cloud Firestore - Features Cloud Firestore - Pricing Cloud Firestore - IAM TBD - LAB : Cloud Datastore /Firestore Cloud Firestore/Datastore Summary Cloud BigTable - Basics Cloud Bigtable - Architecture Cloud Bigtable - Migration from HBASE Cloud Bigtable - Schema Designing Cloud Bigtable - Performance Cloud BigTable - Application Profile Cloud Bigtable - Quotas and Limits Cloud BigTable - Pricing Cloud Bigtable - IAM BigData Services Cloud BigQuery - Basics Cloud BigQuery - Best Practices Cloud BigQuery - IAM Cloud BigQuery - Pricing and Others LAB : Cloud BigQuery Cloud BigQuery - Summary Cloud Dataproc Cloud Dataproc - Architecture Cloud Dataproc - Additional Components Cloud Dataproc - Storage Options Cloud Dataproc - Jobs Cloud Dataproc - Workflows Cloud Dataproc - Quota and Limits Cloud Dataproc - IAM Cloud Dataproc - Pricing Cloud Dataproc - Cleanup Reminder LAB : Cloud Dataproc Cloud Dataproc Summary Cloud Dataflow - Basics Cloud Dataflow - Pipeline Cloud Dataflow vs Cloud Dataproc Cloud Dataflow - Quota and Limits Cloud Dataflow - IAM Cloud Dataflow - Pricing Cloud Dataflow - Summary Cloud PubSub Cloud Pub/Sub - Demo Lab : Cloud PUB/SUB Google Datalab/Data Studio Only for Beginners - Networking Basics Part1 Only for Beginners - Networking Basics part 2 Section 3: Cloud Networking Cloud VPC Basics Types of VPC's Project and VPCs Cloud VPC - Subnetworks Cloud VPC - Internal IP Addresses Cloud VPC - External IP Address Cloud VPC - Routes Cloud VPC - Firewalls Cloud VPC - Shared VPC Cloud VPC - Peering Cloud VPC - Quota and Limits Cloud VPC - Flow Logs Optional - Cloud VPC Demo Security - Bastion Host Optional - Bastion Host - Demo Security : Nat Gateway Cloud VPC - Pricing Hybrid Connectivity Cloud VPN Cloud Router Cloud Interconnect Cloud CDN Cloud DNS Optional - Cloud DNS Demo Cloud Armor Section 4: Stackdriver Applications Stackdriver Applications Stackdriver Monitoring Stackdriver Logging Stackdriver Error Reporting Stackdriver Trace Stackdriver Debug Section 5: Cloud Security Cloud IAM Service Account Cloud Audit Logs Cloud KMS Cloud Security Scanner Cloud CI/CD Cloud Source Code Repository Cloud Container Registry Cloud Build - Basics Cloud Build - Build Config Cloud Build - Triggers Cloud Build - Simple Build Demo Cloud Build - CD Demo Introduction Cloud Build - CD Demo Setup Cloud Task Cloud Scheduler Deployment Manager API Management - Overview API Management - APIGEE Light Demo Cloud Developer Tools - Eclipse Cloud Developer Tools - IntelliJ
Associate Cloud Engineer Certifications
Introduction Associate Cloud Engineer Syllabus & Exam Structure Exam Focus and Strategy What we achieved and What is that we are going to learn. 1. Setting up a cloud solution environment 1.1 Setting up cloud projects and accounts. 1.2 Managing billing configuration 1.3 Installing and configuring the command line interface (CLI) - Cloud SDK Quiz: Setting up Environment. Section 2: Planning and configuring a cloud solution 2.1 Planning and estimating GCP product use using the Pricing Calculator. 2.2 Planning and configuring compute resources. TBD 2.3 Planning and configuring data storage options. 2.4 Planning and configuring network resources : Load Balancer Quiz : Planning and Configuring Cloud. Section 3: Deploying and implementing a cloud solution 3.1 Deploying and implementing Compute Engine resources. - Recap 3.2 Deploying and implementing Kubernetes Engine resources - recap 3.3 Deploying and implementing App Engine and Cloud Functions resources. recap 3.4 Deploying and implementing data solutions. 3.5 Deploying and implementing networking resources - recap 3.6 Deploying a Solution using Cloud Launcher - recap 3.7 Deploying an Application using Deployment Manager - recap. Section 4. Ensuring successful operation of a cloud solution 4.1 Managing Compute Engine resources. Quiz Managing Compute Engine 4.2 Managing Kubernetes Engine resources. Quiz : Managing Kubernetes Engine 4.3 Managing App Engine resources. Quiz : Managing App Engine. 4.4 Managing data solutions.- Cloud Spanner Quiz : Managing Cloud Spanner 4.4 Managing data solutions - Cloud Storage TBD - 4.5 Managing networking resources. 4.6 Monitoring and logging. Stackdriver Section 5. Configuring access and security Quiz : Configuring Access and Security 5.1 Managing Identity and Access Management (IAM). 5.2 Managing service accounts. 5.3 Viewing audit logs for project and managed services Associate Cloud Engineer Practice Exam
Professional Cloud Developer Certification
Introduction Professional Cloud Developer Certification Details Exam Focus and Strategy Case Studies and its Importance What we achieved and What is that we are going to learn. Section 1. Designing highly scalable, available, and reliable cloud-native Apps 1.1 Designing performant applications and APIs. 1.1 Designing performant Apps -Cloud IAAS CAAS PAAS Services overview 1.1 Designing performant apps - Platform Specific design 1.1 Designing performant apps - Geographic Distribution of GCP Services 1.1 Designing performant apps -Microservices Bonus API Proxy : 1.1 -Designing performant apps -Microservices with API Proxy Bonus REST API and GraphQL : 1.1 -Designing performant apps -Microservices 1.1 Designing performant apps - Database Keys 1.1 Designing performant apps - Session Persistence 1.1 Designing performant apps - Loose Coupling using Cloud Pub Sub 1.1 Designing performant apps - Health Check 1.1 Designing performant apps - Best Practices 1.2 Designing secure applications. 1.3 Managing application data. 1.4 Re-architecting applications from local services to Google Cloud Platform. Section 2. Building and Testing Applications 2.1 Setting up your development environment. 2.1 Setting up your development environment Part 2 2.2 Building a continuous integration pipeline. CI CD Exam Points 2.3 Testing. 2.4 Writing code. CLI Assignments Section 3. Deploying applications 3.1 Implementing appropriate deployment strategies based on the target compute 3.2 Deploying applications and services on Compute Engine. 3.3 Deploying applications and services on Google Kubernetes Engine. Kubernetes - Exam Bullets 3.4 Deploying an application to App Engine. 3.5 Deploying a Cloud Function. 3.6 Creating data storage resources. 3.7 Deploying and implementing networking resources. 3.8 Automating resource provisioning with Deployment Manager 3.9 Managing Service accounts. Section 4. Integrating Google Cloud Platform Services 4.1 Integrating an application with Data and Storage services. 4.1 Integration with Database - Node JS and Cloud SQL - MySQL Application 4.1 Integration with Database - Node JS and Datastore application Upcoming Lectures 4.1 Integration with DB- SQL Basics and Trade Offs - TBD 4.2 Integrating an application with Compute services. 4.2 Integrating an application with Compute services - Service Discovery 4.2 Integrating an application with Compute services - Instance Metadata 4.3 Integrating Google Cloud APIs with applications. Section 5. Managing Application Performance Monitoring 5.1 Installing the logging and monitoring agent 5.2 Managing VMs. 5.3 Viewing application performance metrics using Stackdriver. 5.4 Diagnosing and resolving application performance issues. Case Studies - Hiplocal - Upcoming Lectures Cloud Developer - Practice Question Set - Still in review
Professional Cloud Architect Certifications
Introduction Professional Cloud Architect Syllabus & Exam Structure Exam Focus and Strategy Case Studies and its Importance Syllabus Coverage Approach TerramEarth - Case Study Introduction Section 1. Designing and planning a cloud solution architecture 1.1 Designing a solution infrastructure that meets business requirements. 1.2 Designing a solution infrastructure that meets technical requirements 1.3 Designing network, storage, and compute resources 1.4 Creating a migration plan (i.e., documents and architectural diagrams). 1.5 Envisioning future solution improvements. Considerations include: 2.1 Configuring network topologies. 2.2 & 2.3 Configuring individual storage & Compute Systems Section 3 : Designing for security & Compliance 3. Applying Security and Compliance 4.1 Analyzing and defining technical processes 4.2 Analyzing and defining business processes. 4.3 Developing procedures to test resilience of solution in production 5.1 Advising development/operation team(s) to ensure successful deployment 5.2 Interacting with Google Cloud using GCP SDK (gcloud, gsutil and bq). Section 6. Ensuring solution and operations reliability Mountkirk Games - Case Study Introduction Mountkirk Games - As is Architecture MountKirk Games -Section 1. Designing and planning a cloud solution architecture MountKirk Games -Section 1. Designing and planning a cloud solution arch Part2 MountKirk Games -Section 1. Designing and planning - Resiliency , Scalibility MountKirk Games -Section 2. Managing and Provisioning a solution Infrastructure MountKirk Games -Section 4. Analyzing and optimizing technical and business Proc MountKirk Games -Section 5. Managing implementation MountKirk Games -Section 6. Ensuring solution and operations reliability Dress4Win Practice Question Set 1 - Cloud Architect Certification Practice Question Set 2 - Cloud Architect Certification
Upcoming Jul 2020 -> Professional Cloud Data Engineer Certifications
Introduction Professional Cloud Data Engineer Syllabus & Exam Structure Exam Focus and Strategy Case Studies and Importance Section 0: Data Engineer Foundation Artificial Intelligence Fundamentals AI in Google Cloud Platform. Machine Learning Fundamentals Machine Learning in Google Cloud Platform. Section 1. Designing data processing systems 1.1 Selecting the appropriate storage technologies. 1.2 Designing data pipelines. 1.3 Designing a data processing solution. 1.4 Migrating data warehousing and data processing. Section 2. Building and Operationalizing Data Processing Systems 2.1 Building and operationalizing storage systems. 2.2 Building and operationalizing pipelines. 2.3 Building and operationalizing processing infrastructure. Section 3. Operationalizing Machine Learning Models 3.1 Leveraging pre-built ML models as a service. 3.2 Deploying an ML pipeline. 3.3 Choosing the appropriate training and serving infrastructure. 3.4 Measuring, monitoring, and troubleshooting machine learning models. Section 4. Ensuring Solution Quality 4.1 Designing for security and compliance. 4.2 Ensuring scalability and efficiency. 4.3 Ensuring reliability and fidelity. 4.4 Ensuring flexibility and portability. TBD - Practice Questions Set
Upcoming Cloud DevOps Engineer - Aug 2020.
Introduction to Cloud Devops Certifications
Bonus - Professional Cloud network Engineer Certifications
Introduction Professional Network Engineer Certifications Exam Focus and Strategy Section 1. Designing, Planning, and Prototyping a GCP Network 1.1 Designing the overall network architecture. Designing the overall network - Options for HA Designing the overall network - Options for Load Balancer Designing the overall network - CDN Designing the overall network - Project and Network Quota Designing the overall network - Hybrid Connection Designing the overall network - SAAS PAAS IAAS 1.2 Designing a Virtual Private Cloud (VPC). 1.3 Designing a hybrid network. 1.4 Designing a Container IP Addressing plan for Google Kubernetes Engine Section 2. Implementing a GCP Virtual Private Cloud (VPC) 2.1 Configuring VPCs. VPC Peering Configuring VPC - Share VPC 2.2 Configuring routing. 2.3 Configuring and maintaining Google Kubernetes Engine clusters. 2.3 Configuring and maintaining Google Kubernetes Engine clusters - Part 2 2.4 Configuring and managing firewall rules. Section 3. Configuring Network Services 3.1 Configuring load balancing. 3.2 Configuring Cloud CDN. 3.3 Configuring and maintaining Cloud DNS. 3.4 Enabling other network services. Section 4. Implementing Hybrid Interconnectivity 4.1 Configuring Interconnect. 4.2 Configuring a site-to-site IPsec VPN 4.3 Configuring Cloud Router for reliability. Section 5. Implementing Network Security 5.1 Configuring Identity and Access Management (IAM). 5.2 Configuring Cloud Armor policies. 5.3 Configuring third-party device insertion into VPC using multi-nic (NGFW) 5.4 Managing keys for SSH access Section 6. Managing and Monitoring Network Operations 6.1 Logging and monitoring with Stackdriver or GCP Console 6.2 Managing and maintaining security. 6.3 Maintaining and troubleshooting connectivity issues. 6.4 Monitoring, maintaining, and troubleshooting latency and traffic flow. Section 7. Optimizing Network Resources 7.1 Optimizing traffic flow. 7.2 Optimizing for cost and efficiency.

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