Google Cloud Platform (GCP) Fundamentals
Course Description:
Google Cloud Platform (GCP) is a cloud computing platform by Google offering various services for computing, storage, databases, analytics, and machine learning. This course provides comprehensive knowledge of GCP fundamentals, architecture, services, and practical implementation. Learn to deploy, manage, and optimize applications on Google Cloud infrastructure. Perfect for cloud architects, developers, and IT professionals.
Who Should Enroll:
Cloud engineers, system administrators, software developers, data analysts, IT professionals, and students interested in cloud computing. No prior cloud experience required.
Eligibility:
Basic understanding of IT concepts, networking fundamentals, and operating systems required. No GCP experience necessary.
Medium of Instruction:
English (with Hindi support available)
Curriculum Overview
Module 1: Cloud Computing & GCP Basics
- Introduction to Cloud Computing
- Cloud Service Models (IaaS, PaaS, SaaS)
- Google Cloud Platform Overview
- GCP Account Setup and Free Tier Benefits
- GCP Console Navigation & Dashboard
- Projects, Billing, and Resource Management
Module 2: Core GCP Compute Services
- Compute Engine (Virtual Machines)
- App Engine for Serverless Applications
- Cloud Functions for Event-Driven Computing
- Kubernetes Engine (GKE) Basics
- Instance Groups and Auto-Scaling
- Hands-on Lab: Deploy a Web Application
Module 3: Storage & Database Solutions
- Cloud Storage for Object Storage
- Cloud SQL for Relational Databases
- Cloud Firestore for NoSQL Databases
- Cloud Bigtable for Big Data
- Storage Classes and Lifecycle Management
- Backup & Disaster Recovery Strategies
Module 4: Networking & Security
- Virtual Private Cloud (VPC) Configuration
- Subnets, Firewall Rules, and Routes
- Cloud Load Balancing
- Cloud CDN for Content Delivery
- Identity & Access Management (IAM)
- Security Best Practices and Compliance
- DDoS Protection and Security Policies
Module 5: Data Analytics & Machine Learning
- BigQuery for Data Warehousing
- Cloud Dataflow for ETL Pipelines
- Cloud Pub/Sub for Messaging
- Introduction to AI/ML on GCP
- Vertex AI and Pre-trained Models
Module 6: Monitoring, Logging & Optimization
- Cloud Monitoring and Alerting
- Cloud Logging and Log Analysis
- Cost Optimization Strategies
- Performance Tuning
- Capstone Project: Design & Deploy a Multi-Tier Application
- Best Practices and Common Pitfalls
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