Course Outline

🔹 Day 1: Firebase & Firestore Fundamentals

Session 1: Introduction to Firebase Ecosystem

• Overview of Firebase services
• Setting up Firebase project and Firestore database
• Differences between Realtime Database and Firestore

Session 2: Firestore Data Modeling

• Collections, documents, and subcollections
• Designing scalable data models
• Data types and references

Session 3: CRUD Operations & Real-Time Listeners

• Creating, reading, updating, deleting documents
• Setting up real-time listeners for data changes
• Handling snapshots and query results

Lab Activities:

• Create a Firebase project and configure Firestore
• Build a simple app to perform CRUD operations
• Implement real-time data listeners and UI updates

🔹 Day 2: Offline Support, Queries & Security

Session 1: Offline Data Persistence

• Firestore’s offline capabilities
• Synchronizing local and remote data
• Handling conflicts and merges

Session 2: Advanced Queries

• Querying collections with filters, ordering, and limits
• Compound queries and pagination
• Using indexes and optimizing query performance

Session 3: Security Rules and Authentication

• Firestore security rules fundamentals
• Writing rules to enforce data validation and access control
• Integrating Firebase Authentication (email, social providers)

Lab Activities:

• Enable offline persistence and test offline data sync
• Create complex queries and paginate results
• Write and test Firestore security rules
• Add user authentication and role-based access

🔹 Day 3: Integrations, Cloud Functions & Best Practices

Session 1: Firebase Cloud Functions

• Writing serverless functions triggered by Firestore events
• Sending notifications and automating workflows
• Managing function deployment and scaling

Session 2: Integrating with Frontend Frameworks

• Using Firebase SDK with React, Angular, or Vue
• State management with real-time data
• Performance optimization and error handling

Session 3: Monitoring, Analytics & Cost Management

• Firebase Analytics and crash reporting
• Monitoring Firestore usage and quotas
• Cost optimization strategies and best practices

Lab Activities:

• Write Cloud Functions to handle Firestore triggers
• Integrate Firestore data with a frontend app (React/Vue/Angular)
• Set up analytics dashboards and monitor app health