Introduction:
In the age of digital transformation, leveraging cloud technologies is crucial for developers to create scalable, efficient, and innovative applications. Google Cloud Platform (GCP) stands out as a comprehensive cloud computing solution, offering a suite of tools and services designed to support developers at every stage of the application development lifecycle. This course provides a deep dive into GCP, equipping participants with the skills needed to design, develop, and deploy applications in the cloud.
Course Objective:
By the end of this course, participants will:
Understand the core components and services of Google Cloud Platform.
Gain hands-on experience in developing applications using GCP services.
Learn best practices for cloud architecture, security, and data management.
Explore tools for monitoring, debugging, and optimizing GCP applications.
Prepare for GCP certification exams to enhance their career opportunities in cloud development.
Course Outline:
Module 1: Introduction to Google Cloud Platform
Overview of cloud computing and GCP services.
Key features and benefits of using GCP for developers.
Hands-on: Setting up a Google Cloud account and navigating the GCP Console.
Module 2: Core GCP Services for Developers
Introduction to Compute Engine, App Engine, Cloud Functions, and Kubernetes Engine.
Understanding storage solutions: Cloud Storage, Firestore, and Cloud SQL.
Hands-on: Creating and deploying a simple application using App Engine.
Module 3: Networking and Security in GCP
Overview of GCP networking concepts: Virtual Private Cloud (VPC), Load Balancing, and Cloud CDN.
Best practices for securing GCP resources: Identity and Access Management (IAM) and Cloud Security.
Hands-on: Configuring VPC and implementing IAM roles for a project.
Module 4: Data Management and Databases
Introduction to GCP database services: BigQuery, Cloud Spanner, and Firestore.
Best practices for data modeling, querying, and analytics in GCP.
Hands-on: Running queries in BigQuery and setting up Firestore for a web application.
Module 5: Application Development with GCP
Using Cloud Functions for serverless application development.
Exploring microservices architecture with Google Kubernetes Engine (GKE).
Hands-on: Deploying a microservice application using GKE and Cloud Functions.
Module 6: Monitoring and Debugging Applications
Overview of GCP monitoring tools: Stackdriver Monitoring, Logging, and Error Reporting.
Best practices for debugging and troubleshooting applications in GCP.
Hands-on: Setting up monitoring dashboards and alerts for a deployed application.
Module 7: CI/CD in GCP
Introduction to Continuous Integration and Continuous Deployment (CI/CD) using Google Cloud Build and Cloud Source Repositories.
Best practices for automating application deployment and updates.
Hands-on: Setting up a CI/CD pipeline for a sample application using GCP tools.
Module 8: Cost Management and Optimization
Understanding GCP pricing models and budgeting tools.
Strategies for optimizing cloud costs and resource utilization.
Hands-on: Analyzing cost reports and implementing best practices for cost savings.
Module 9: Serverless Computing with GCP
Overview of serverless architecture and its advantages.
Deep dive into Google Cloud Functions and Cloud Run for serverless application development.
Hands-on: Building and deploying a serverless application using Cloud Functions.
Module 10: Course Wrap-Up and Certification Preparation
Review of key concepts covered throughout the course.
Preparing for GCP certification: Exam structure, tips, and study resources.
Final assessment: Participants will design a GCP architecture solution for a real-world application scenario.
Q&A session to address participants’ queries and explore additional GCP resources.
Course Duration:
20 hours of instructor-led or self-paced learning.
Target Audience:
Developers, software engineers, system administrators, and IT professionals interested in leveraging Google Cloud Platform for application development.