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Google Cloud-Professional Cloud Architect
Google Cloud Professional Cloud Architect Training by Techpratham teaches you how to create, build, and run cloud solutions on Google Cloud Platform (GCP) that are safe and can grow. Get hands-on experience to pass the Professional Cloud Architect certification exam and move up in your cloud career.
5/5(4,890 Reviews)

Level

Advanced

Duration

8 Weeks

What is Google Cloud-Professional Cloud Architect?
Our Google Cloud Professional Cloud Architect Training by Techpratham will help you learn how to design solutions, network, secure, and build cloud architecture on Google Cloud Platform (GCP). This course teaches you how to build cloud solutions that are both scalable and secure through hands-on labs, real-world case studies, and best practices. It gets you ready for the Professional Cloud Architect certification exam and helps you become a trusted cloud professional by making you more knowledgeable.
Training Plan

About trainer

Working professional who is carrying more then 10 years of industry experience.

Decks

The candidate will get access to the presentation taken-up during the session.

Notes

Consolidated notes in word document.

Assignments

Assignments for every module will be covered.

MCQs

MCQs for every module covered in the session would be provided.

Video Recording

Daily Session would be recorded and shared to the candidate.

Dumps for Certification

We will provide dumps for the certification exam, which will help you to prepare for the exam.

Updated Content

We provide Generative AI Driven content By experts.

Projects

3 Live Projects will be provided for practice.

Google Cloud-Professional Cloud Architect Course Curriculum
.

Introduction to Google Cloud & Cloud Architecture
Section 1

Learn the fundamentals of Google Cloud Platform and principles of cloud architecture.
GCP Overview & Services
Resource Hierarchy & Projects
Billing & Cost Management
Cloud Architecture Principles
.

Designing and Planning a Cloud Solution Architecture
Section 2

Discover how to design cloud architectures that are safe, scalable, and economical based on business requirements.
Analyzing Business and Technical Requirements
Designing Secure, Scalable, and Reliable Architectures
Selecting Appropriate Google Cloud Services
Planning Network, Compute, and Storage Architectures
Designing for High Availability and Disaster Recovery
.

Managing and Provisioning GCP Infrastructure
Section 3

Use Terraform and Deployment Manager to automate and provision infrastructure.
Setting up GCP Projects and Accounts
Managing Resource Quotas and APIs
Infrastructure as Code with Deployment Manager and Terraform
Managing Compute Engine Instances and Instance Groups
Automating Infrastructure Deployment
.

Designing for Security and Compliance
Section 4

Cloud architectures should incorporate robust security, IAM, and compliance frameworks.
Identity and Access Management (IAM) Design
Data Security, Encryption, and Key Management
Network Security Design
Compliance and Regulatory Requirements
Security Monitoring and Threat Detection
.

Analyzing and Optimizing Technical and Business Processes
Section 5

Analyze, track, and improve systems' scalability, performance, and cost.
Performance Optimization for Compute, Storage, and Network
Cost Optimization Techniques
Monitoring, Logging, and Debugging with Cloud Operations Suite
Resource Utilization and Efficiency Improvements
Using Cloud Monitoring and Logging for Insights
.

Managing Implementations of Cloud Architecture
Section 6

To handle complicated cloud solutions, learn practical deployment and migration techniques.
Managing Migrations to GCP
Hybrid and Multi-Cloud Strategies
Application Deployment and Scaling
Managing Change and Release Management
Continuous Integration/Continuous Delivery (CI/CD)
.

Ensuring Solution and Operations Reliability
Section 7

In cloud environments, design for continuous operations, availability, and dependability.
Reliability Engineering and SRE Principles
Designing for Fault Tolerance and Resilience
Incident Management and Troubleshooting
Backup and Restore Strategies
Monitoring SLAs, SLOs, and SLIs
.

Designing for Data Processing and Storage
Section 8

Architect and manage data pipelines, analytics, and scalable storage solutions on GCP.
Data Storage Options in GCP
Designing for Data Lakes and Data Warehouses
BigQuery, Cloud SQL, and Cloud Spanner
Data Pipelines with Dataflow and Dataproc
Designing for Analytics and AI Integration
.

Preparing for the Professional Cloud Architect Exam
Section 9

Use real-world case studies, practice questions, and mock exams to strategically prepare.
Exam Overview and Registration
Sample Questions and Case Studies
Hands-on Labs and Scenario-Based Practice
Exam Tips and Best Practices
Review and Final Assessment
Key Projects
Google Cloud-Professional Cloud Architect
Scalable E-Commerce Web Application on GCP
Use Compute Engine, Kubernetes Engine, and Cloud SQL to build and deploy an e-commerce app on Google Cloud that can grow as needed. Use IAM to set up load balancing, autoscaling, and secure user authentication. This project shows how to design a solution, set up infrastructure, and cut costs.
Data Analytics Platform with BigQuery & Dataflow
Create a data analytics solution that uses Cloud Storage, Pub/Sub, Dataflow, and BigQuery to gather, store, and analyze large datasets. Use Looker Studio to make dashboards that give you real-time insights. This project shows how to design, monitor, and scale a data pipeline.
Multi-Region Disaster Recovery & Business Continuity
Set up a web app in several GCP regions to make a plan for recovering from a disaster. Set up automated backups, Cloud DNS failover, and Cloud Storage replication. This project shows how important reliability engineering, high availability, and business continuity planning are.

Google Cloud-Professional Cloud Architect – Associate Training Program

Category
Associate
Exam Name:
Google Cloud-Professional Cloud Architect – Associate
Exam Code:
N.A.
Exam Duration:
N.A.
Exam Format:
N.A.
Passing Score:
N.A.
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Frequently Asked Questions (FAQs)

What is Google Cloud Professional Cloud Architect Training?

Google Cloud Professional Cloud Architect Training teaches IT workers how to design solutions, secure networks, and build cloud architecture on GCP. It gets students ready to pass the Professional Cloud Architect certification exam and learn how to build cloud solutions that are both scalable and safe.

How often is the GCP Professional Cloud Architect exam updated?

Every six to twelve months, Google updates the test to take into account new features, services, and industry best practices.

How does the certification add value to a DevOps engineer?

It improves your ability to automate deployments, design CI/CD systems in GCP, and integrate DevOps workflows with cloud architecture.

How much does the certification exam cost in India?

The exam fee is approximately ₹19,200 INR (USD $200) plus applicable taxes.

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