Google Cloud (GCP) Professional Cloud Architect

Name: Google Cloud (GCP) Professional Cloud Architect
Rating: 4.6 (954 reviews)

Classroom style coaching for GCP (Begineer to experienced level). Includes new case Studies (EHR, Helicopter Racing)

Created byAshutosh Mishra

Last updated 4/2022

English

English [Auto],Spanish [Auto],

What you'll learn

Google Cloud Platform, Cloud Computing, Architecting a solution on Google Cloud Platform
Google Compute, Storage, Security, Databases, Network, Monitoring, Operations, Big Data and AI services
Google Architecture Framework, Data Lifecycle, Architecture Best practices & Industry Use Cases
GCP Infrastructure as a Service, Platform as a Service and Serverless services
Case Study (EHR Healthcare, Helicopter Racing League, Mountkirk Games, TerramEarth)
Advanced section on ML&AI use cases, Multi-cloud Architecture, Kubernetes Engine & Mew GCP Products and Releases (updated every month)

Course content

18 sections • 58 lectures • 22h 14m total length

Introduction & Course Structure7:47
Welcome to the GCP Professional Architect Course.
This video gives you the Introduction to the course and talks about the structure of lectures and labs. I encourage you to take the 3 day challenge to finish the course based on the schedule provided in the last slide.
The course structure has been broken into following sections:
Introduction
Cloud Architect Certification & Resources
The Basics & GCP console tour
Certification Case Study
Google Cloud Core Services (Network, Storage, Compute, Databases, Big Data, AI, Security & Operations)
Architecture landscape
Reference Architecture
Case Study - Solution
Certification Refresher & Test
GCP Advanced Knowledgebase
GCP Resources and Exam Guide10:41
This video describes the certification exam guide and GCP resources available at your fingertip:
Design and Plan a cloud solution architecture
Manage & Provision a solution infrastructure
Design for security and compliance
Analyse and optimise technical and business processes
Managing implementation
Ensuring Solution and Operations reliability

GCP Basics15:25
This lecture describes the GCP basic structure and network primer of GCP network products.
Google Cloud Console Tour16:01
This lecture provides a descriptive tour of GCP services, common practices and cloud shell.
GCP Products & Services Overview18:13
This lecture provides introduction of 100+ GCP Products and services from personas and data lifecycle perspectives.
GCP Project Hierarchy & Authentication6:49
GCP Network Primer3:13

Case Study23:12
During the exam for the Cloud Architect Certification, some of the questions may refer you to a case study that describes a fictitious business and solution concept to provide additional context to exam questions.
• EHR Healthcare - https://services.google.com/fh/files/blogs/master_case_study_ehr_healthcare.pdf
EHR Healthcare is a leading provider of electronic health record software to the medical industry. EHR Healthcare provides their software as a service to multi-national medical offices, hospitals, and insurance providers.
• Helicopter Racing League- https://services.google.com/fh/files/blogs/master_case_study_helicopter_racing_league.pdf
Helicopter Racing League (HRL) is a global sports league for competitive helicopter racing. Each year HRL holds the world championship and several regional league competitions where teams compete to earn a spot in the world championship. HRL offers a paid service to stream the races all over the world with live telemetry and predictions throughout each race.
• TerramEarth - https://services.google.com/fh/files/blogs/master_case_study_terramearth.pdf
TerramEarth manufactures heavy equipment for the mining and agricultural industries.. They currently have over 500 dealers and service centers in 100 countries. There are 2 million TerramEarth vehicles in operation currently, and they see 20% yearly growth. Their mission is to build products that make their customers more productive.
• Mountkirk Games - https://services.google.com/fh/files/blogs/master_case_study_mountkirk_games.pdf
Mountkirk Games makes online, session-based, multiplayer games for mobile platforms. They have recently started expanding to other platforms after successfully migrating their on-premises environments to Google Cloud. Mountkirk Games is building a new multiplayer game that they expect to be very popular.

Compute Services - Architectural Overview7:39
This lecture gives architectural introduction and comparative landscape of the following computing services.
Compute Engine
App Engine
Kubernetes Engine
Cloud Functions
Cloud Run
Compute Engine19:35
Labs - Compute Engine17:44
In this lab, create a compute engine VM, deploy an Nginx server, and use instance templates, images, and instance groups to enable scalable, template-driven deployments.
App Engine4:00
Explore App Engine as a serverless, fully managed platform for scalable web apps, with standard vs flexible environments, language packages and dockerized customization, plus Kubernetes Engine integration.
Kubernetes Engine24:57
Labs - Kubernetes Engine (Console)9:12
Create and manage a Kubernetes cluster in Google console, deploy a sample nginx app, and expose it with a load balancer using kubectl commands in the GKE standard workflow.
Labs - Kubernetes Engine (gcloud)23:51
Serverless Compute (Cloud Function, Cloud run)10:36
Lab - Serverless Platforms (App Engine, Cloud Function, Cloud Run)30:22
Deploy a Flask-based app that uses the Google Cloud Translation API on serverless platforms (App Engine, Cloud Functions, Cloud Run) via CLI and UI workflows.
Compute Services - Conclusion4:58
Designing Compute Systems

Network - Core Concepts43:12
This lectures covers following networking products:
Virtual Private Cloud
Region, Zones, Subnet, Firewall Rules
VPC Peering
Shared VPC
Cloud NAT
Load Balancing
Global Load Balancer (HTTP(s) Load Balancer, SSL Proxy, TCP Proxy)
Regional Load Balancer (Network TCP/UDP, Internal TCP/UDP)
Network - Services and Technologies30:05
Explore Google Cloud networking services and technologies for on-premises, multi-cloud, and SaaS connectivity, including hybrid connectivity, interconnect options, VPN, peering, CDN, load balancing, and security perimeters.
Lab - VPC Network & Firewalls35:45

Databases - Architectural Overview7:51
Explore relational, NoSQL, and document databases with Cloud SQL, Cloud Spanner, Cloud Bigtable, Firestore, and Memorystore, plus migration and data stream services, highlighting scalable architecture and real-time syncing.
Databases - Cloud SQL, Cloud Spanner20:27
This lecture explain databases services and different types of databases and it's use cases:
Cloud Spanner
Cloud SQL
Lab - Cloud SQL10:35
Labs - Cloud Spanner12:20
Discover Cloud Spanner, a globally distributed, acid-compliant relational database with replicas and sharding that scales horizontally; create an instance and database, load sample data, run queries, and clean up resources.
Databases - Bigtable, Firestore, Memorystore28:18
This lecture explain databases services and different types of databases and it's use cases:
Bigtable
Firestore
Firestore Realtime Database
Memorystore
Databases - BigQuery21:49
Labs - BigQuery26:11

Data Ananlytics & Big Data - Overview12:34
This lecture explains the Big data services and it's use cases:
Composer
Dataproc
Pub/Sub
Dataflow
BigQuery
Looker
Data Fusion
Dataprep
Data Catalog
Big Data - PubSub14:31
Big Data - Dataflow16:46
Discover how Dataflow offers a serverless, unified pipeline for streaming and batch processing with Apache Beam, using PCollection and PTransform, windowing, and multiple runners.
Labs - Dataflow27:19
Explore serverless dataflow labs and unified batch and streaming processing with Apache Beam. Build pipelines using PTransforms on PCollections, apply windowing and triggers, and run on various runners.
Big Data - Dataproc & Cloud Composer19:53
Labs - Dataproc & Cloud Composer29:20
Big Data - Cloud Data Fusion18:52
Big Data - Data Catalogue11:28
Lab - Data Catalogue18:45
D&A - BigQuery, Dataprep, Looker, Dataplex, Analytics Hub41:19

Artificial Intelligence Services - Overview9:04
This lecture explores AI services and it's use cases:
Vertex AI (AI Platform)
Natural Language
Speech-to-text
Text-to-Speech
Vision AI
Cloud Translation
Document AI
Video Intelligence
Vertex AI25:11
Conversational AI7:38
AI for Documents18:05
Explore Google Cloud Natural Language, Document AI, Vision AI, and Translation API to extract entities, sentiment, classify content, and convert invoices and forms into structured data.
Labs - Vertex AI59:31

Requirements

No Prerequisite. Basic Cloud computing knowledge beneficial.

Description

Immerse in a classroom style coaching of GCP cloud architect certification topics, regularly updated with in-depth lectures and bonus topics to broaden your architecture knowledge. Continuously updated with new GCP product launches (GA) and feature enhancements.

This course is also ideal for cloud professionals from AWS & Azure background to familiarise themselves with GCP.

This course focuses on building your architect instinct, which is supplemented with industry use cases, data management, master data management and data and analytics ecosystem. Every aspect of GCP services has been categorised into use cases and comparative categories to help you become an informed architect.

Being a cloud architect is not just about technical details, but also about business strategy, planning, development and operations of GCP platforms. The business process and technical process help facilitate Return on Investment (ROI) for business and technical requirements.

Course Structure:

Cloud Architect Certification Details & Resources
The Basics & GCP Console tour (IAM, Network & Access, Org Hierarchy)
Certification Case Study (EHR Healthcare, Helicopter Racing League added)
GCP Core Services(Network, Compute, Storage, Big Data, Databases, Security, Operations, Artificial Intelligence)
Architecture landscape (Business & Technical Requirements, Microservices, DevOps, GCP Architecture Framework)
Reference Architecture (Data Lifecycle, Industry Use Cases)
Certification Refresher and Mock tests (1 hour refresher video of all GCP services, Actual 2-hour test)
Extras (Multi and Hybrid Cloud Architecture, Anthos, Kubernetes Engine, GCP Tools, ML & AI and others)

Take this journey to be an architect beyond textbook and click-where taxonomies.

Who this course is for:

Ultimate course for Google Cloud Professional Cloud Architect certification seekers
Cloud practitioners from AWS and Azure seeking GCP knowledge.
Beginners on Cloud Computing from Google Cloud Platform lenses
Executives and Technical Managers looking to execute GCP Project

Google Cloud (GCP) Professional Cloud Architect

What you'll learn

Explore related topics

Course content

Introduction2 lectures • 18min

GCP - The Basics5 lectures • 1hr

Certification Case Study1 lecture • 23min

Core Services - Compute10 lectures • 2hr 33min

Core Services - Network3 lectures • 1hr 49min

Core Services - Storage2 lectures • 59min

Core Services - Databases7 lectures • 2hr 8min

Core Services - Security1 lecture • 36min

Core Services - Big Data & Analytics10 lectures • 3hr 31min

Core Services - Artificial Intelligence5 lectures • 1hr 59min

Requirements

Description

Who this course is for: