• Learn the Looker interface and its core components.
• Define Looker’s capabilities for data analysis and visualization.
• Master navigation within Looker to access data and tools.

•  Understand Looker’s four analytical pillars: dimensions, measures, filters, and pivots.
• Use dimensions to explore data attributes.
• Aggregate data attributes using measures.
• Combine dimensions and measures for in-depth analysis and visualization.
• Apply filters to focus on specific subsets of data.
• Leverage pivots to restructure and group data dynamically.

• Explore table calculations and offset functions for data manipulation.
• Learn the types of table calculations and offset functions available in Looker.
• Instantly create new metrics and insights using these advanced tools.

• Create and deliver standalone visualization reports, called Looks, to share insights.
• Build and share dashboards to consolidate multiple visualizations for business analysis.
• Add new content and filters to dashboards for flexible, targeted analysis.
• Explore options for delivering data outside of Looker for broader stakeholder access.

• Use folders to organize content for easy navigation and discovery.
• Create and share boards to centralize content around specific topics or themes.

Deploy with Cloud Run:

Launch serverless apps that scale automatically.

Build with Cloud Functions:

Create event-driven serverless applications.

Containerize & Scale:

Deploy containerized apps using GKE and Cloud Run.

Consolidate Learning:

Review key Google Cloud concepts for a solid foundation.

Connect Concepts:

Understand how modules apply to real-world scenarios.

Prepare for Implementation:

Apply course knowledge to practical Google Cloud solutions.

• Deploy serverless solutions
• Implement function triggers
• Secure function access

• Integrate with databases
• Manage secrets and variables
• Implement best practices

• Design serverless workflows
• Implement logic controls
• Master service authentication
• Build automated processes