Firebase Studio for Information Technology
Advanced AI-Assisted Full-Stack Application Engineering
Programme Objectives
- Develop advanced capability in using Firebase Studio for AI-assisted full-stack application development, refinement, testing, deployment, and monitoring.
- Architect applications using Firebase Authentication, Cloud Firestore, Security Rules, App Check, hosting, and AI capabilities.
- Combine Gemini-assisted development with direct code inspection, debugging, terminal operations, and engineering validation.
- Design secure data, identity, application, AI, testing, deployment, and observability workflows suitable for enterprise IT environments.
- Establish production-readiness, governance, source-control, human-review, and migration practices for existing Firebase Studio projects.
Tools covered
Who should attend
- Software Engineers
- Full-Stack Developers
- Frontend Developers
- Backend Developers
- Application Developers
- Solution Architects
- Technical Architects
- Cloud Engineers
- DevOps Engineers
- Platform Engineers
- Application Support Engineers
- Technical Leads
- IT Application Managers
- AI Application Developers
- Digital Transformation Technology Teams
Prerequisites & Participant Readiness
- Working knowledge of web application development
- Familiarity with JavaScript or TypeScript is recommended
- Basic understanding of frontend and backend architecture
- Familiarity with REST APIs, databases, authentication, and cloud concepts
- Basic Git/source-control knowledge
- Understanding of Firebase fundamentals is beneficial
- For direct hands-on Firebase Studio exercises, participants require access to an existing Firebase Studio workspace, because creation of new workspaces has been disabled
- Participants without existing Firebase Studio access can complete equivalent architecture and migration exercises using instructor demonstrations and supported successor environments
TOC Modules
- Understanding Firebase Studio's agentic cloud-development architecture
- Exploring App Prototyping, Code View, Gemini assistance, terminal, preview, and Firebase project integration
- Understanding AI-assisted development versus direct engineering control
- Mapping frontend, backend, data, identity, hosting, and AI layers
- Exploring an existing full-stack Firebase Studio project
- Inspecting project directories, dependencies, configuration, and application structure
- Mapping application components to Firebase services
- Building Requirement → Architecture → Code → Firebase Services → Deployment workflow
Scenarios
Secure AI-Enabled Enterprise Application
Participants develop and validate an AI-enabled business application containing authenticated users, persistent data, security controls, generative-AI functionality, testing, deployment, and operational monitoring.
Existing Firebase Studio Application Migration
Participants assess an existing Firebase Studio solution and create a controlled migration path that preserves reusable source code and Firebase backend services while moving active development to Google's supported long-term environments.
## Current Capability Reference
As of **September 2026, Firebase Studio is officially being sunset**. Google disabled new user signup and new workspace creation on **June 22, 2026**. Existing Firebase Studio workspaces can continue to be developed, tested, and deployed until **March 22, 2027**, after which projects requiring continued development must be migrated.
Firebase Studio remains an **agentic, cloud-based development environment** for existing workspaces, combining Gemini assistance with development tools, terminal access, application preview, Firebase integrations, and full-stack application workflows. Google describes it as supporting frontend, backend, API, mobile, and AI-infused development.
The App Prototyping Agent currently supports full-stack **Next.js** application workflows with Firebase services including **Cloud Firestore, Firebase Authentication, Firebase App Check, and Firebase App Hosting**. Google notes that automatic Firestore and Authentication persistence capabilities may still vary by workspace rollout, so advanced training should also include direct implementation and validation through Code View.
Firebase Studio's current tooling includes improvements to **Firestore Security Rules generation and automated rules correction**, with rules validation using the Firebase Rules testing APIs. Google also recommends production testing through application tests, the Rules Playground, and unit tests using the Firebase Local Emulator Suite.
**Firebase App Hosting** supports GitHub-connected deployment of dynamic web applications and integrates with Firebase Authentication, Cloud Firestore, Firebase AI capabilities, Cloud Build, Cloud Run, Cloud CDN, and Secret Manager. A push to the configured live branch can automatically initiate a new rollout.
Firebase Studio can also connect applications to Firebase projects through Gemini-assisted terminal operations and the **Firebase MCP server**, including workflows involving Cloud Firestore and Firebase Authentication.
Google's official migration guidance recommends **Google AI Studio** for browser-based rapid prototyping and prompt-driven development, and **Google Antigravity** for local, code-first agentic development. Importantly, core Firebase products—including **Cloud Firestore, Authentication, and App Hosting—are not being discontinued** with Firebase Studio.
**Catalogue Note:** Because Firebase Studio is already in its sunset period, this 32-hour programme is best positioned as an **advanced existing-environment, Firebase engineering, production-readiness, and migration programme**. Organizations starting entirely new development initiatives should prioritize Google AI Studio or Google Antigravity while continuing to use relevant Firebase backend services.
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