دوره جامع Google Cloud
Google Cloud یک پلتفرم محاسبات ابری قدرتمند است که طیف گسترده‌ای از خدمات، از جمله زیرساخت به عنوان سرویس (IaaS)، پلتفرم به عنوان سرویس (PaaS) و نرم‌افزار به عنوان سرویس (SaaS) را ارائه می‌دهد.
Google Cloud این ابزارها را برای محاسبات، ذخیره‌سازی، یادگیری ماشین، تجزیه و تحلیل کلان داده‌ها، DevOps و موارد دیگر فراهم می‌کند و به کسب و کارها امکان می‌دهد برنامه‌ها را در مقیاس بسازند و استقرار و مدیریت کنند.
یادگیری Google Cloud برای مهندسان نرم‌افزار مهم است زیرا در صنایعی که به دنبال راه‌حل‌های ابری قابل اعتماد، مقیاس‌پذیر و نوآورانه هستند، به‌ویژه برای برنامه‌های کاربردی مبتنی بر داده و هوش مصنوعی، به‌طور گسترده مورد استفاده قرار می‌گیرد.
مهارت‌های Google Cloud می‌تواند درها را به روی نقش‌هایی در مهندسی ابر، توسعه نرم‌افزار و DevOps باز کند.
یک معلم خصوصی می‌تواند با ارائه درس‌های ساختاریافته، پروژه‌های عملی و سناریوهای واقعی که سرویس‌های کلیدی Google Cloud مانند Compute Engine، BigQuery و Kubernetes Engine را پوشش می‌دهد، روند یادگیری را تسریع بخشد، در حالی که فراگیران را برای گواهی‌های Google Cloud آماده می‌کند و اعتبار آنها را در بازار کار تقویت می‌کند.
Chapter 1: Introduction to Google Cloud
- Lesson 1: What is Google Cloud?
- Lesson 2: History and Evolution of Google Cloud
- Lesson 3: Google Cloud vs. Other Cloud Platforms
- Lesson 4: Google Cloud Free Tier and Pricing Models
- Lesson 5: Setting Up a Google Cloud Account
Chapter 2: Google Cloud Console and CLI
- Lesson 1: Overview of Google Cloud Console
- Lesson 2: Navigating Google Cloud Console
- Lesson 3: Introduction to Google Cloud SDK and gcloud CLI
- Lesson 4: Managing Google Cloud Projects
- Lesson 5: IAM (Identity and Access Management) Basics
Chapter 3: Google Compute Engine (GCE)
- Lesson 1: Introduction to Compute Engine
- Lesson 2: Creating and Managing Virtual Machines (VMs)
- Lesson 3: Configuring Persistent Disks and Snapshots
- Lesson 4: Networking and Firewall Rules in GCE
- Lesson 5: Autoscaling and Load Balancing
Chapter 4: Google Kubernetes Engine (GKE)
- Lesson 1: Introduction to Kubernetes and GKE
- Lesson 2: Deploying Containers with Google Kubernetes Engine
- Lesson 3: Managing Pods, Services, and Deployments
- Lesson 4: Kubernetes Networking and Ingress
- Lesson 5: Autoscaling and Monitoring in GKE
Chapter 5: Google Cloud Functions and Serverless Computing
- Lesson 1: Introduction to Serverless Computing
- Lesson 2: Deploying Functions with Google Cloud Functions
- Lesson 3: Event-Driven Computing with Cloud Functions
- Lesson 4: Integrating Cloud Functions with Other Services
- Lesson 5: Security and Best Practices
Chapter 6: Google Cloud Storage
- Lesson 1: Introduction to Google Cloud Storage
- Lesson 2: Object Storage vs. File Storage vs. Block Storage
- Lesson 3: Storage Classes and Lifecycle Management
- Lesson 4: Access Control and Security in Cloud Storage
- Lesson 5: Managing Large Datasets and Data Transfer
Chapter 7: Google Cloud SQL and Database Services
- Lesson 1: Introduction to Google Cloud SQL
- Lesson 2: Deploying and Managing MySQL and PostgreSQL
- Lesson 3: Introduction to Firestore and Bigtable
- Lesson 4: Backup, Replication, and Failover Strategies
- Lesson 5: Performance Optimization and Best Practices
Chapter 8: Google BigQuery and Data Analytics
- Lesson 1: Introduction to Google BigQuery
- Lesson 2: Writing SQL Queries in BigQuery
- Lesson 3: Managing Large-Scale Data Processing
- Lesson 4: Integrating BigQuery with Other Google Cloud Services
- Lesson 5: Data Visualization and BI Tools
Chapter 9: Google Cloud AI and Machine Learning Services
- Lesson 1: Overview of AI/ML Services in Google Cloud
- Lesson 2: Introduction to Vertex AI
- Lesson 3: Using AutoML for Model Training
- Lesson 4: Deploying and Managing ML Models in the Cloud
- Lesson 5: Integrating AI APIs (Vision, NLP, Translation, Speech)
Chapter 10: Google Cloud Networking
- Lesson 1: Overview of Google Cloud Networking
- Lesson 2: Virtual Private Cloud (VPC) and Subnets
- Lesson 3: Cloud Load Balancing and Traffic Management
- Lesson 4: Cloud Interconnect and VPN
- Lesson 5: DNS, CDN, and Edge Networking
Chapter 11: Google Cloud Security and Compliance
- Lesson 1: Introduction to Google Cloud Security Best Practices
- Lesson 2: Identity and Access Management (IAM)
- Lesson 3: Security Command Center and Monitoring
- Lesson 4: Encryption, Key Management, and DLP
- Lesson 5: Compliance and Regulatory Certifications
Chapter 12: Google Cloud DevOps and CI/CD
- Lesson 1: Introduction to DevOps on Google Cloud
- Lesson 2: Setting Up Cloud Build for CI/CD
- Lesson 3: Using Artifact Registry for Image Storage
- Lesson 4: Automating Deployments with Cloud Deployment Manager
- Lesson 5: Monitoring and Logging with Cloud Operations Suite
Chapter 13: Hybrid and Multi-Cloud Solutions
- Lesson 1: Introduction to Hybrid and Multi-Cloud Strategies
- Lesson 2: Google Anthos Overview and Use Cases
- Lesson 3: Managing Kubernetes Across Multiple Clouds
- Lesson 4: Cloud Run for Multi-Cloud Deployments
- Lesson 5: Data Transfer and Migration Strategies
Chapter 14: Google Cloud Identity and Security Management
- Lesson 1: Identity-Aware Proxy (IAP)
- Lesson 2: Google Security Key and Authentication Methods
- Lesson 3: Managing Service Accounts and Permissions
- Lesson 4: Auditing and Monitoring with Cloud Audit Logs
- Lesson 5: Security and Compliance Best Practices
Chapter 15: Monitoring and Logging in Google Cloud
- Lesson 1: Overview of Cloud Logging and Cloud Monitoring
- Lesson 2: Setting Up Stackdriver Logging and Metrics
- Lesson 3: Alerting and Incident Management
- Lesson 4: Analyzing Logs with BigQuery and Cloud Functions
- Lesson 5: Best Practices for Observability
Chapter 16: Google Cloud IoT and Edge Computing
- Lesson 1: Introduction to IoT on Google Cloud
- Lesson 2: Using Cloud IoT Core for Device Management
- Lesson 3: Data Processing with Pub/Sub and Dataflow
- Lesson 4: Edge AI and Cloud TPU Integration
- Lesson 5: Real-World IoT Applications
Chapter 17: Google Cloud API Management
- Lesson 1: Introduction to API Gateway and Apigee
- Lesson 2: Creating and Securing APIs
- Lesson 3: API Rate Limiting and Caching
- Lesson 4: API Analytics and Monitoring
- Lesson 5: Integrating APIs with Cloud Functions and Cloud Run
Chapter 18: Google Cloud Disaster Recovery and High Availability
- Lesson 1: Understanding Disaster Recovery Strategies
- Lesson 2: Backup and Restore Best Practices
- Lesson 3: Multi-Region Deployments for High Availability
- Lesson 4: Automated Failover and Load Balancing
- Lesson 5: Resilience Testing and Chaos Engineering
Chapter 19: Google Cloud Future Trends and New Features
- Lesson 1: Latest Innovations in Google Cloud
- Lesson 2: Trends in AI and Cloud Computing
- Lesson 3: The Future of Serverless and Edge Computing
- Lesson 4: Upcoming Security and Compliance Enhancements
- Lesson 5: Preparing for Google Cloud Certifications