Google Cloud: Professional Cloud Architect (PCA)

KEY FEATURES

This 6 day course- and certification programme includes all of these courses: Google Cloud Fundamentals: Core Infrastructure (GCF-CI), Architecting with Google Cloud Platform: Infrastructure (AGCPI), Architecting with Google Cloud Platform: Design and Process (AGCP-DP), Preparing for the Professional Cloud Architect Examination (PPCAE).

What's Included

Your course package is designed to provide maximum learning and convenience. This is included in the price of your course:

• INSTRUCTOR-LED TRAINING
• ALL COURSE MATERIALS
• EXAM VOUCHER
• CERTIFICATION GUARANTEE
• INSTRUCTOR-LED TRAINING
• ACCOMMODATION
• ALL COURSE MATERIALS
• ALL MEALS
• EXAM VOUCHER
• CERTIFICATION GUARANTEE

EXAMS & CERTIFICATIONS

Your expert instructor will get you ready for the following exam and certification, which are included in your course package and covered by the Certification guarantee.

• Google Cloud Certified - Professional Cloud Architect Exam (PR000088)
• Google Cloud Certified: Professional Cloud Architect

PREREQUISITES

You´ll have the perfect starting point for your training with these prerequisites:

- Familiarity with application development, systems operations, Linux operating systems, and data analytics/machine learning is helpful in understanding the technologies covered.
- Basic proficiency with command-line tools and Linux operating system environments
- Systems Operations experience including deploying and managing applications, either on-premises or in a public cloud environment
- Knowledge and experience with GCP, equivalent to GCP Architecting Infrastructure
- Knowledge of cloud solutions, equivalent to GCP Design and Process
- Industry experience with cloud computing

Full curriculum

Using our engaging learning methodology including a variety of tools, we’ll cover the entire curriculum.

Google Cloud Fundamentals: Core Infrastructure (GCF-CI)
We start with an overview of Google Cloud Platform products and services. Through a combination of presentations, demos, and hands-on labs, you will learn the value of Google Cloud Platform and how to incorporate cloud-based solutions into business strategies.

Course Objectives

This course teaches you the following skills:

- Identify the purpose and value of Google Cloud Platform products and services
- Interact with Google Cloud Platform services
- Describe ways in which customers have used Google Cloud Platform
- Choose among and use application deployment environments on Google Cloud Platform: Google App Engine, Google Container Engine, and Google Compute Engine
- Choose among and use Google Cloud Platform storage options: Google Cloud Storage, Google Cloud SQL, Google Cloud Bigtable, and Google Cloud Datastore
- Make basic use of BigQuery, Google’s managed data warehouse for analytics

Module 1: Introducing Google Cloud Platform

- Explain the advantages of Google Cloud Platform
- Define the components of Google’s network infrastructure, including: Points of presence, data centers, regions, and zones
- Understand the difference between Infrastructure-as-a-Service (IaaS) and Platform-as-a-Service (PaaS)
- Lab: Sign Up for the Free Trial and Create a Project

Module 2: Getting Started with Google Cloud Platform

- Identify the purpose of projects on Google Cloud Platform
- Understand the purpose of and use cases for Identity and Access Management
- List the methods of interacting with Google Cloud Platform
Lab: Getting Started with Google Cloud Platform

Module 3: Google App Engine and Google Cloud Datastore

- Understand the purpose of and use cases for Google App Engine and Google Cloud Datastore
- Contrast the App Engine Standard environment with the App Engine Flexible environment
- Understand the purpose of and use cases for Google Cloud Endpoints
Lab: Deploying Applications Using App Engine and Cloud Datastore

Module 4: Google Cloud Platform Storage Options

- Understand the purpose of and use cases for: Google Cloud Storage, Google Cloud SQL, and Google Cloud Bigtable
- Learn how to choose between the various storage options on Google Cloud Platform
Lab: Integrating Applications with Google Cloud Storage

Module 5: Google Container Engine

- Define the concept of a container and identify uses for containers
- Identify the purpose of and use cases for Google Container Engine and Kubernetes
- Deploying Applications Using Google Container Engine

Module 6: Google Compute Engine and Networking

- Identify the purpose of and use cases for Google Compute Engine
- Understand the various Google Cloud Platform networking and operational tools and services
Lab: Deploying Applications Using Google Compute Engine

Module 7: Big Data and Machine Learning

- Understand the purpose of and use cases for the products and services in the Google Cloud big data and machine learning platforms
Lab: Getting Started with BigQuery

Architecting with Google Cloud Platform: Infrastructure (AGCPI)
During this part of the course programme you will be introduced to the comprehensive and flexible infrastructure and platform services provided by Google Cloud Platform. Through a combination of presentations, demos, and hands-on labs, participants explore and deploy solution elements, including infrastructure components such as networks, systems and applications services. This course also covers deploying practical solutions including securely interconnecting networks, customer-supplied encryption keys, security and access management, quotas and billing, and resource monitoring.

Course Objectives
This course teaches you the following skills:

- Consider the entire range of Google Cloud Platform technologies in their plans
- Learn methods to develop, implement, and deploy solutions
- Distinguish between features of similar or related products and technologies
- Recognize a wide variety of solution domains, use cases, and applications
- Develop essential skills for managing and administering solutions
- Develop knowledge of solution patterns—methods, technologies, and designs that are used to implement security, scalability, high availability, and other desired qualities

Module 1: Introduction to Google Cloud Platform

- Role of the Cloud Architect
- Learn about Solution Domains as an approach to design
Lab: Console and Cloudshell
Lab: Projects
Lab: Infrastructure Preview

Module 2: Virtual Networks

- Cloud Virtual Networks (CVN), Projects, Networks, Subnetworks, IP addresses, Routes, Firewall rules
- Subnetworks for resource management instead of physical network topology
Lab: Virtual Networking
Lab: Bastion Host

Module 3: Virtual Machines

- GCE, tags, VM options, vCPUs, disk options, images, and special features of persistent disks for VMs
Lab: Creating Virtual Machines
Lab: Working with Virtual Machines

Module 4: Cloud IAM

- Members, roles, organizations, account administration, service accounts
Lab: Cloud IAM

Module 5: Data Storage Services

- Cloud Storage, Datastore, Bigtable, Cloud SQL
Lab: Cloud Storage
Lab: Cloud SQL
Lab: Cloud Datastore

Module 6: Resource Management

- Billing, Quotas, Labels, Names, Cloud Resource Manager
Lab: Billing Administration
Lab: Examining Billing Data and BigQuery

Module 7: Resource Monitoring

- Stackdriver, Monitoring, Logging, Error Reporting, Tracing, Debugging
Lab: Resource Monitoring (Stackdriver)
Lab: Error Reporting and Debugging (Stackdriver)

Module 8: Interconnecting Networks

- VPNs, Cloud Router, Cloud Interconnect, Direct Peering, Cloud DNS
Lab: Virtual Private Networks (VPN)
Lab: Dynamic VPN with Cloud Routers

Module 9: Load Balancing

- Network Load Balancing, HTTP(S) Load Balancing, SSL Load Balancing and Internal Load Balancing, Managed Instance Groups
Lab: VM Automation and Load Balancing

Module 10: Autoscaling

- Autoscaler
Lab: Autoscaling

Module 11: Infrastructure Automation with Cloud API

- Infrastructure automation, custom images, startup and shutdown scripts and metadata
Lab: Cloud API Infrastructure Automation

Module 12: Infrastructure Automation with Deployment Manager
- Deployment Manager templates
Lab: Deployment Manager

Module 13: Managed Services

- Dataproc, Dataflow, BigQuery, Datalab

Module 14: Application Development Infrastructure

- Cloud Pub/Sub, Cloud Endpoints and Apigee, Cloud Functions

Module 15: Application Development ServicesGoogle App Engine (GAE), Dev Tools, Cloud Source Repos.

Lab: App Engine Development

Module 16: Containers

- Containers, Google Container Engine (GKE), and Container Registry.
Lab: Kubernetes Load Balancing

Architecting with Google Cloud Platform: Design and Process (AGCP-DP)
During the second part of the course, we will teach you how​ ​to​ ​build​ ​highly​ ​reliable​ ​and​ ​efficient​ ​solutions​ ​on​ ​Google​ ​Cloud Platform,​ ​using​ ​proven​ ​design​ ​patterns​ ​and​ ​the​ ​principles​ ​of​ ​Google​ ​Site​ ​Reliability​ ​Engineering​ ​(SRE).​ ​It​ ​is​ ​a continuation​ ​of​ ​the​ ​​Architecting​ ​with​ ​Google​ ​Cloud​ ​Platform:​ ​Infrastructure​​ ​course​ ​and​ ​assumes​ ​hands-on experience​ ​with​ ​the​ ​technologies​ ​covered​ ​in​ ​that​ ​course.

Through​ ​a​ ​combination​ ​of​ ​presentations,​ ​demos,​ ​and​ ​hands-on​ ​labs,​ ​participants​ ​learn​ ​to​ ​design​ ​GCP​ ​deployments that​ ​are​ ​highly​ ​reliable​ ​and​ ​secure;​ ​and​ ​how​ ​to​ ​operate​ ​GCP​ ​deployments​ ​in​ ​a​ ​highly​ ​available​ ​and​ ​cost-effective manner.

Course Objectives
This course teaches participants the following skills:

- Design for high availability, scalability, and maintainability
- Assess tradeoffs and make sound choices among Google Cloud Platform products
- Integrate on-premises and cloud resources
- Identify ways to optimize resources and minimize cost
- Implement processes that minimize downtime, such as monitoring and alarming, unit and integration testing, production resilience testing, and incident post-mortem analysis
- Implement policies that minimize security risks, such as auditing, separation of duties and least privilege
- Implement technologies and processes that assure business continuity in the event of a disaster

Module 1: Defining the Service

- Design​ ​in​ ​this​ ​class
- State​ ​and​ ​solution
- Measurement
- Gathering​ ​requirements,​ ​SLOs,​ ​SLAs,​ ​and​ ​SLIs​ ​(key​ ​performance indicators)

Module 2: Business-Logic Layer Design

- Microservices​ ​architecture
- GCP​ ​12-factor​ ​support
- Mapping​ ​compute​ ​needs​ ​to​ ​Google​ ​Cloud​ ​Platform​ ​processing services
- Compute​ ​system​ ​provisioning

Module 3: Data Layer Design

- Classifying and characterizing data
- Data​ ​ingest​ ​and​ ​data​ ​migration
- Identification​ ​of​ ​storage​ ​needs​ ​and​ ​mapping​ ​to​ ​Google​ ​Cloud Platform​ ​storage​ ​systems

Module 4: Presentation Layer Design

- Network​ ​edge​ ​configuration
- Network​ ​configuration​ ​for​ ​data​ ​transfer​ ​within​ ​the​ ​service,​ ​including load​ ​balancing​ ​and​ ​network​ ​location
- Network​ ​integration​ ​with​ ​other​ ​environments,​ ​including​ ​on​ ​premise and​ ​multi-cloud

Module 5: Design for Resiliency, Scalability, and Disaster Recovery

- Failure due to loss of resources
- Failure due to overload
- Strategies for coping with failure
- Business​ ​continuity​ ​and​ ​disaster​ ​recovery,​ ​including​ ​restore​ ​strategy and​ ​data​ ​lifecycle​ ​management
- Scalable​ ​and​ ​resilient​ ​design

Module 6: Design for Security

- Google​ ​Cloud​ ​Platform​ ​security
- Network​ ​access​ ​control​ ​and​ ​firewalls
- Protections​ ​against​ ​denial​ ​of​ ​service
- Resource​ ​sharing​ ​and​ ​isolation
- Data encryption and key management
- Identity​ ​access​ ​and​ ​auditing

Module 7: Capacity Planning and Cost Optimization

- Capacity Plannin
- Pricing

Module 8: Deployment, Monitoring and Alerting, and Incident Response

- Deployment
- Monitoring and alerting
- Incident response
- Preparing for the Professional Cloud Architect Examination (PPCAE)

During this part of the course you will get a basic overview of the Professional Cloud Architect exam, review the sample case studies, and review each section of the exam. You´lll be able to identify skill gaps and further areas of study and be pointed to appropriate target learning resources.

Module 1: Understanding the Professional Cloud Architect Certification
Establish basic knowledge about the certification exam and eliminate any confusion or misunderstandings about the process and nature of the exam itself.

Topics covered:

- Position the Professional Cloud Architect certification among the offerings
- Distinguish between Associate and Professional
- Provide guidance between Professional Cloud Architect and Associate Cloud Engineer
- Describe how the exam is administered and the exam rules
- Provide general advice about taking the exam

Module 2: Sample Case Studies
In-depth review of the Case Studies provided for exam preparation
Topics covered:

- JencoMart
- MountKirk Games
- Dress4Win
- TerramEarth

Module 3: Designing and Implementing

Tips and examples covering design and implementation skills that could be tested on the exam
Topics covered:

- Review the layered model from Design and Process
- Provide exam tips focused on business and technical design
- Designing a solution infrastructure that meets business requirements
- Designing a solution infrastructure that meets technical requirements
- Design network, storage, and compute resources
- Creating a migration plan
- Envisioning future solution improvements
- Resources for learning more about designing and planning
- Configuring network topologies
- Configuring individual storage systems
- Configuring compute systems
- Resources for learning more about managing and provisioning
- Designing for security
- Designing for legal compliance
- Resources for learning more about security and compliance

Module 4: Optimizing and Operating

Tips and examples covering business processes, technical, optimization for security, performance, cost, and ongoing operations and reliability
Topics covered:

- Analyzing and defining technical processes
- Analyzing and defining business processes
- Resources for learning more about analyzing and optimizing processes
- Designing for security
- Designing for legal compliance
- Resources for learning more about security and compliance
- Advising development/operation teams to ensure successful deployment of the solution
- Resources for learning more about managing implementation
- Easy buttons
- Playbooks
- Developing a resilient culture
- Resources for learning more about ensuring reliability

Module 5: Next Steps

- Highlght learning resources

Topics covered:

- Present Qwiklabs Challenge Quest for the Professional CA
- Identify Instructor Led Training courses and what they cover that will be helpful based on skills that might be on the exam
- Connect candidates to individual Qwiklabs, and to Coursera individual courses and specializations.
- Test/Exam Simulations, Reinforcement, Q&A