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https://github.com/nitesh009/gcp-course


https://github.com/nitesh009/gcp-course

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README

        

# GCP Course

> **Comprehensive Guide to Google Cloud Platform (GCP)**
Explore core services, concepts, and advanced tools to harness the power of Google Cloud Platform effectively.

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## Table of Contents

1. [GCP Basics and Overview](#gcp-basics-and-overview)
2. [GCP Infrastructure](#gcp-infrastructure)
3. [Managed Services in GCP](#managed-services-in-gcp)
4. [Identity & Access Management (IAM)](#identity--access-management-iam)
5. [Security, Networking & Advanced Topics](#security-networking--advanced-topics)
6. [Google Cloud Storage Services](#gcp-storage-services)
7. [Containerization and Orchestration](#containerization-and-orchestration)
8. [Cloud-Native Architecture](#cloud-native-architecture)
9. [DevOps & Scaling](#devops--scaling)
10. [Data Services & Analytics](#data-services--analytics)

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## GCP Basics and Overview
- **Introduction to Google Cloud Platform (GCP)**
Overview of key features, benefits, and product categories: Compute, Storage, Database, Networking, etc.
- **Key Products and Services**
Explore foundational GCP tools and services for developers and enterprises.

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## GCP Infrastructure
- **Regions and Zones**
Understanding the global infrastructure, data residency, and latency considerations.
- **Choosing the Right Region and Zone**
Factors, availability, and service limits for optimal resource allocation.

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## Managed Services in GCP
- Overview of managed services such as Compute Engine, App Engine, Cloud Functions, and Cloud Run.
- Benefits of adopting managed services for scalability and operational efficiency.

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## Identity & Access Management (IAM)
- Introduction to IAM: Roles, permissions, policies, and best practices.
- Applying IAM policies to secure GCP resources effectively.

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## Security, Networking & Advanced Topics
### Google App Engine
- Key features, benefits, and deployment strategies for applications.

### Google Cloud Pub/Sub
- Publisher-subscriber model and integration with other services.

### VPC and Service Controls
- Configuring secure virtual private clouds and managing data exfiltration.

### Google Cloud KMS & Encryption
- Managing encryption keys and integrating with GCP services for enhanced security.

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## GCP Storage Services
### Cloud Storage
- Object storage for varied use cases.
### Cloud SQL & Cloud Spanner
- Relational database services with high scalability.

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## Containerization and Orchestration
- Overview of Kubernetes, GKE (Google Kubernetes Engine), and deploying scalable containerized applications.

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## Cloud-Native Architecture
- Microservices, containers, and designing modern cloud-native applications using GCP tools like App Engine and Cloud Functions.

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## DevOps & Scaling
- Implementing CI/CD pipelines, auto-scaling applications, and managing artifacts with Google Artifact Registry.

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## Data Services & Analytics
### BigQuery
- Data warehousing and analytics with SQL-based queries.

### Cloud Dataflow
- ETL pipelines and data processing using the Java SDK.

### Looker
- Business intelligence and reporting for building dynamic, interactive dashboards.

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## Contributing
We welcome contributions to enhance this course! Please follow these steps:
1. Fork the repository.
2. Create a feature branch.
3. Submit a pull request with detailed explanations.

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## License
This content is licensed under the [MIT License](LICENSE).
Feel free to use, modify, and distribute with attribution.

![MIT License](https://img.shields.io/badge/License-MIT-yellow.svg)
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Happy Learning! 🚀