Description

Introduction of Architecting with Google Cloud Platform

This course provides a comprehensive understanding of how to design, develop, and deploy robust solutions on the Google Cloud Platform (GCP). By exploring core services, architecture best practices, and deployment strategies, participants will gain hands-on experience in creating scalable, secure, and cost-effective solutions tailored to real-world business needs.

Designed for architects and developers, this course equips participants with the knowledge to make informed decisions about infrastructure, application design, and resource management on GCP.

Prerequisites

Participants should have:

• Basic knowledge of cloud computing concepts and principles.
• Familiarity with networking, storage, and database technologies.
• Experience with programming or scripting languages.
• An understanding of IT operations and system architecture.

Table of Contents

1. Introduction to Google Cloud Platform (GCP)
   1.1 Overview of GCP Services
   1.2 Benefits of Cloud Architectures
   1.3 GCP’s Role in Modern Solution Design
2. Designing GCP Architectures
   2.1 Principles of Cloud-Native Architecture
   2.2 Selecting GCP Services for Solutions
   2.3 High Availability and Scalability in Design
3. Compute and Storage Solutions
   3.1 Virtual Machines with Compute Engine(Ref: Introduction to Google Cloud Platform(GCP): Fundamentals for Beginners)
   3.2 Managing Containers with Kubernetes Engine
   3.3 Data Storage Options: Cloud Storage, Persistent Disks, and Filestore
4. Networking in GCP
   4.1 Configuring Virtual Private Cloud (VPC) Networks
   4.2 Load Balancing and Content Delivery Network (CDN)
   4.3 Managing Connectivity and Hybrid Architectures
5. Database Solutions on GCP
   5.1 Relational Databases with Cloud SQL
   5.2 Non-Relational Databases with Firestore and Bigtable
   5.3 Data Warehousing with BigQuery
6. Security and Identity Management
   6.1 Securing GCP Resources with IAM
   6.2 Data Encryption and Key Management
   6.3 Monitoring and Compliance on GCP
7. Application Deployment Strategies
   7.1 Deploying Applications with App Engine
   7.2 Serverless Computing with Cloud Functions
   7.3 Containerized Application Deployment
8. Monitoring and Optimization
   8.1 Setting Up Monitoring with Cloud Operations Suite
   8.2 Cost Management and Optimization Strategies
   8.3 Performance Tuning for GCP Solutions
9. Machine Learning and Data Analytics
   9.1 Introduction to AI and ML on GCP
   9.2 Implementing Machine Learning Models with AI Platform
   9.3 Analyzing Data with GCP’s Analytics Tools
10. Case Studies and Real-World Scenarios
    10.1 Designing Scalable E-Commerce Solutions
    10.2 Building Secure Financial Applications
    10.3 Managing Global Data Pipelines
11. Architectural Best Practices
    11.1 Designing for Fault Tolerance and Resiliency
    11.2 Incorporating Automation in Deployments
    11.3 Ensuring Security and Compliance
12. Hands-On Labs and Projects
    12.1 Lab: Deploying a Scalable Web Application
    12.2 Lab: Implementing a Data Processing Pipeline
    12.3 Lab: Configuring a Secure Network Architecture

Conclusion

Architecting with Google Cloud Platform empowers participants to design and deploy innovative solutions that leverage the full potential of GCP. By combining foundational concepts with practical applications, this course provides the expertise needed to tackle complex challenges in the cloud. Equipped with these skills, participants can drive business transformation by creating scalable, secure, and efficient cloud-based systems.

Reference