What you will learn
- Understand the core GCP services and tools for application development
- Learn how to design, develop, and deploy cloud-native applications on GCP
- Gain proficiency in using Compute Engine, App Engine, Kubernetes Engine, and other GCP services
- Develop skills to integrate GCP services into applications for storage, messaging, and authentication
- Explore best practices for building scalable, reliable, and secure applications on GCP
- Learn how to monitor, troubleshoot, and optimize applications deployed on Google Cloud Platform
- Gain insights into emerging trends and technologies in cloud-native application development
Beneficial for
- Software Developers
- Full-stack Developers
- Application Architects
- DevOps Engineers
Course Pre-requisite
- Proficiency in at least one programming language such as Python, Java, or Node.js
- Basic understanding of cloud computing concepts.
- Familiarity with web development frameworks (beneficial but not mandatory)
Course Outline
Overview of Google Cloud services and offerings
Understanding the GCP pricing model and billing
Provisioning virtual machines with Compute Engine
Deploying containerized applications on Kubernetes Engine
Building and deploying serverless applications with Cloud Functions
Integrating serverless components into applications
Storing data in Google Cloud Storage
Using Cloud SQL, Firestore, and Bigtable for managed database services
Configuring network resources with Virtual Private Cloud (VPC)
Implementing security best practices on Google Cloud Platform
Deploying applications on Google App Engine
Integrating GCP services with applications using Cloud APIs and SDKs
Monitoring application performance and health using Stackdriver
Implementing logging, tracing, and diagnostics in GCP applications
Best practices for building scalable, reliable, and secure applications on GCP
Resources for further learning and certification preparation