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Module 1: Introduction to Google Cloud Platform
Module 2: Core GCP Services
Module 3: Networking and Security
Module 4: Data and Analytics
- BigQuery: The Analytical Data Warehouse
- Cloud Dataflow: Batch and Streaming Data Processing
- Cloud Dataproc: Managed Spark and Hadoop
- Cloud Pub/Sub: Asynchronous Messaging
- Cloud Data Fusion: Code-Free Data Integration
- Orchestrating Pipelines with Cloud Composer and Workflows
- Data Governance and Dashboards with Dataplex and Looker Studio
Module 5: Machine Learning and AI
Module 6: DevOps and Monitoring
- Cloud Build: Continuous Integration on GCP
- Cloud Source Repositories and Source Code Management
- Cloud Functions: Serverless Functions
- Cloud Monitoring (formerly Stackdriver): Metrics, Dashboards and Alerts
- Cloud Deployment Manager and Native Infrastructure as Code
- Cloud Logging and Cloud Trace: Logs, Traces and Diagnostics
- Terraform on GCP: Infrastructure as Code in Practice
Module 7: Advanced GCP Topics
- Hybrid and Multicloud with Anthos
- Serverless Computing with Cloud Run
- Advanced Networking: Shared VPC, Peering and Hybrid Connectivity
- Security Best Practices
- Cost Management and Optimization
- Reliability: SLOs, High Availability and Disaster Recovery
- Governance at Scale: Organization, Policies and Auditing
Module 8: Final Project
Tools
Analytics
Automation Tools
AWS
Azure
Branding
Community Management
Content Creation
Content Marketing
Copywriting
Crisis Management
Email Marketing
User Acquisition Strategies
Event Management
Excel
Facebook Ads
Prototyping with Figma
GCP
Git
Google Ads
Google Analytics
Google Data Studio
Collaboration Tools
Link Building
Linux
NGINX
Postman and API Testing
Power BI
Programmatic Advertising
SEM (Search Engine Marketing)
SEO (Search Engine Optimization)
Social Media Management
Tableau