Diploma in GCP

1. Introduction to Cloud Computing and GCP

• Basics of Cloud Computing: Understanding the fundamental concepts of cloud computing, its benefits, and various service models (IaaS, PaaS, SaaS).
• Introduction to GCP: Overview of GCP and its core services, understanding the GCP global infrastructure.
• Understanding Infrastructure as Code (IaC) with Google Cloud Deployment Manager: Learn about IaC and how to use Google Cloud Deployment Manager for automating infrastructure setup.

2. Infrastructure and Networking with GCP

• Understanding Google Compute Engine: Deep dive into Compute Engine instances, understanding instance types, pricing models, and lifecycle.
• Google Cloud Storage and Google Cloud SQL: Understanding Cloud Storage buckets, data management, and security features. Learn about Cloud SQL for relational database services.
• Networking in GCP (VPC, Cloud DNS, Cloud Load Balancing): Learn about GCP networking services including VPC, Cloud DNS for DNS management, and Cloud Load Balancing for traffic distribution.

3. Security with GCP

• Basics of Information Security: Understanding key concepts of information security, including confidentiality, integrity, and availability.
• GCP Security Best Practices: Learn about GCP security measures, IAM, and security best practices.
• Implementing Security in DevOps (DevSecOps) with GCP: Understand how to incorporate security in the DevOps lifecycle using GCP services.

4. DevOps with GCP

• Introduction to Google Cloud DevOps Tools (Cloud Source Repositories, Cloud Build, Cloud Deploy): Overview of GCP DevOps tools and their functionalities.
• Continuous Integration/Continuous Deployment (CI/CD) with GCP: Learn how to implement CI/CD pipelines using GCP services.
• Monitoring and Logging with Google Cloud Monitoring and Google Cloud Logging: Understand how to monitor GCP resources and applications using Cloud Monitoring and Cloud Logging.

5. Application Development and Deployment with GCP

• Basics of Software Development Life Cycle (SDLC): Understanding the phases of SDLC and its importance in software development.
• Developing Applications with Google App Engine: Learn how to deploy and manage applications using App Engine.
• Serverless Computing with Google Cloud Functions: Understand the concept of serverless computing and how to run code without provisioning servers using Cloud Functions.

6. Data Analytics with GCP

• Introduction to GCP Data Services (BigQuery, Cloud Spanner): Overview of GCP data services for big data analytics and relational database management.
• Basics of Data Analytics and Business Intelligence with Google Data Studio: Learn how to analyze data and build visualizations using Data Studio.
• Machine Learning with Google AI Platform: Understand the basics of machine learning and how to build, train, and deploy machine learning models using AI Platform.

7. Networking with GCP

• Advanced Networking Concepts with GCP: Deep dive into GCP networking, understanding network architecture, and advanced VPC features.
• Network Security with Google Cloud Armor: Learn about GCP services for network security and DDoS protection.
• Hybrid Networking with Google Cloud Interconnect: Understand how to establish a dedicated network connection from your premises to GCP using Cloud Interconnect.

8. Capstone Project

• A comprehensive project that requires students to apply all the skills learned in the course. This will involve building a complete cloud solution using GCP services, implementing DevOps practices, ensuring security, and performing data analytics.