Google Cloud
Description
It provides a wide range of services, including computing, data storage, data analytics, and machine learning, as well as tools for managing these services
What You will Learn
Learning Google Cloud (GCP) involves understanding its suite of cloud computing services and how to use them to build, deploy, and manage applications and infrastructure.
After this training, you will be able to:
Course Syllabus
Google Cloud
- What is Cloud Computing? (IaaS, PaaS, SaaS)
- Google Cloud vs. AWS vs. Azure
- GCP Global Infrastructure (Regions, Zones, Edge Locations)
- GCP Free Tier & Pricing Model
- Setting Up a Google Cloud Account & Console Overview
- Google Compute Engine (GCE) - Virtual Machines
- Google Kubernetes Engine (GKE) - Managed Kubernetes
- Google App Engine (GAE) - Serverless PaaS
- Cloud Run - Serverless Containerized Apps
- Cloud Functions - Event-Driven Serverless Computing
- Cloud Storage (Object Storage - Buckets & Lifecycle Policies)
- Persistent Disks (SSD & HDD for Compute Engine)
- Filestore (Managed NFS for File Storage)
- Bigtable (NoSQL Database for High Throughput Workloads)
- Backup & Disaster Recovery Strategies
- VPC Networks, Subnetting & Firewall Rules
- Load Balancing & Auto Scaling
- Cloud CDN for Content Delivery Optimization
- Cloud DNS for Domain Name Management
- Identity & Access Management (IAM) & RBAC
- Cloud Security Command Center for Threat Detection
- Cloud SQL (Managed MySQL, PostgreSQL, SQL Server)
- Firestore & Firebase Realtime Database (NoSQL)
- BigQuery (Data Warehousing & Analytics Engine)
- Cloud Spanner (Enterprise-Grade RDBMS)
- Dataflow (ETL & Data Pipelines)
- Google Cloud Build (CI/CD for Application Deployment)
- Infrastructure as Code (Terraform, Deployment Manager)
- Cloud SDK, gcloud CLI, & APIs
- Stackdriver for Monitoring, Logging & Debugging
- Cloud Scheduler & Task Queues for Job Automation
- Vertex AI (End-to-End ML Platform)
- Cloud AutoML (No-Code/Low-Code ML Solutions)
- Cloud Vision API (Image Recognition)
- Cloud Natural Language API (Text Analysis)
- Cloud Speech-to-Text & Text-to-Speech APIs
- Big Data Processing with BigQuery, Dataflow & Dataproc
- Cloud IAM (Identity & Access Management)
- Cloud Key Management System (KMS) for Encryption
- Google Security Command Center (Threat Management)
- Cloud Audit Logging & Compliance Standards
- DDoS Protection & Security Best Practices
- Building Microservices with Google Cloud
- Cloud Functions for Event-Driven Architecture
- Cloud Run for Serverless Containerized Applications
- API Gateway for Managing & Securing APIs
- Cloud Tasks & Pub/Sub for Asynchronous Workflows
- Cloud Monitoring & Stackdriver Logging
- Google Cloud Cost Management & Billing Alerts
- Autoscaling for Performance & Cost Efficiency
- Best Practices for Cloud Resource Optimization
- Google Associate Cloud Engineer Certification Preparation
- Google Professional Cloud Architect Certification
- Google Professional Data Engineer Certification
- Google Cloud DevOps Engineer Certification
- Building a Portfolio & Resume for Cloud Job
Hook up Course
- StartsThis Week
- Duration6 Months, 6 hrs / week