Requirements:

• The student should be computer science knowledge will help to understand and prepare for certification.

Description:

Hi Cloud Professionals!

Becoming Google Certified choice of your certification – Professional Cloud Architect, Associate Cloud Engineer, Professional Cloud Developer,  Professional Cloud Network Engineer (Beta), Upcoming -> Cloud Data Engineer, Cloud DevOps Engineer, Cloud Security Engineer.

Ultimate Google Cloud Certifications: All in one Bundle (4) course is not for Lazy learners – The course has comprehensive coverage of Google Cloud Platform and students need very long focus/attention to complete.

Ultimate Google Cloud Certifications: All in one Bundle (4) course does not assume you have knowledge of Google Cloud Platform or any cloud Platform. We cover almost everything on GCP to become “Hero” from whatever your current GCP understanding (it may be Zero or Beginning or Intermediate)

Advance Students – Joining this course only for certification -> Please at least run through the foundation section once for you to understand the certification syllabus.

Why waste time learning the same foundation concepts again and again for each certification around the same technology. Ultimate Google Cloud Certifications: All in one Bundle (4) is divided into the section where you learn all concepts in one course and then focus individually on each certification – Incrementally. 

Why Pay for Every Certifications course and sometimes you don’t even appear for certification. This course will help you to pay only once and plan for any certification on the Google Cloud Platform.   

Single Course Fully Prepares you for all FOUR certifications below ->Associate Cloud Engineer, Professional Cloud ArchitectProfessional Cloud Developer Professional Cloud Data Engineer  – Expected in Dec 2020Professional DevOps Engineer – Expected in Jun 2021
Time is Money nowadays – We all want to optimize our time to learn new things and add them to our profile in a smart way.

This course will take out duplicate learning work which you may need to do if you are planning for more than 1 certification on the Google Cloud Platform.

Each Certification gives an additional dimension about Google Cloud Platform and this Course committed to giving you will give you a 360 view of the Google Cloud platform so – you don’t have to refer to any other course.

Thank You for your time and stay connected!
Happy Learning !!

Topics Covered:

Introduction:

• Introduction to this Course
• Google Cloud Platform Certification
• 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 – Graphics 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 Engine10 questions
• 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 engine8 questions
• 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
• 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
• 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
• 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 part2
• 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/CD0
• 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 – Intelligence

Associates 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 the project and managed services

Professional Cloud Developer Certifications:

• 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

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

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