Complete Course of Google Cloud
Google Cloud is a powerful cloud computing platform that offers a wide range of services, including infrastructure as a service (IaaS), platform as a service (PaaS), and software as a service (SaaS).
It provides tools for computing, storage, machine learning, big data analytics, DevOps, and more, enabling businesses to build, deploy, and manage applications at scale.
Learning Google Cloud is important for software engineers because it is widely adopted in industries seeking reliable, scalable, and innovative cloud solutions, especially for data-intensive and AI-driven applications.
Skills in Google Cloud can open doors to roles in cloud engineering, software development, and DevOps.
A tutor can accelerate the learning process by offering structured lessons, practical projects, and real-world scenarios that cover key Google Cloud services like Compute Engine, BigQuery, and Kubernetes Engine, while also preparing learners for Google Cloud certifications, boosting their credentials in the job market.
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