Tool or Technology
TT0085

Firebase Studio Unlocked

Prototype, Build & Ship AI Apps with Gemini

Firebase Studio
Duration
4 Hours
Level
Awareness
Delivery
Instructor-Led
Format
Awareness Session

Programme Objectives

  • Understand Firebase Studio and how Gemini-assisted development supports rapid creation of full-stack and AI-enabled applications.
  • Explore the workflow for moving from a natural-language application idea to blueprint, code, preview, testing, and deployment.
  • Develop awareness of effective prompting techniques for defining application features, user experience, data, and AI requirements.
  • Experience practical Firebase Studio capabilities for code assistance, application refinement, Firebase services, and deployment.
  • Recognise testing, security, data handling, AI validation, and migration considerations when working with Firebase Studio.

Technology covered

Firebase StudioGeminiApp Prototyping AgentCode ViewFirebase AuthenticationCloud FirestoreFirebase App Hosting

Who should attend

  • Software & Application Developers
  • Full-Stack Developers
  • Frontend Developers
  • Product Managers & Product Owners
  • Business Analysts & Functional Consultants
  • AI Application Developers
  • Solution Architects & Technical Leads
  • Innovation & Prototyping Teams
  • Digital Transformation Professionals
  • Technical Consultants & Solution Engineers

Prerequisites & Participant Readiness

  • Basic understanding of websites or web applications
  • Familiarity with application requirements and user workflows is helpful
  • Basic programming knowledge is beneficial but not mandatory for the Awareness programme
  • Familiarity with Firebase or Google Cloud concepts is helpful but not required
  • Access to an existing Firebase Studio workspace is required for direct hands-on Firebase Studio activities
  • No previous Firebase Studio experience required

TOC Modules

Concepts
  • Understanding Firebase Studio as an agentic cloud-based development environment
  • Understanding how Gemini supports application development inside the workspace
  • Exploring AI-assisted prototyping versus code-first development
  • Understanding frontend, backend, APIs, and Firebase services at an awareness level
  • Identifying suitable use cases for AI-enabled and full-stack applications
Practical activities
  • Exploring an existing Firebase Studio workspace and development environment
  • Reviewing a sample application and identifying its frontend, backend, and AI components

Scenarios

Business Requirement to AI-Enabled Application Prototype

Business Requirement → Structured Prompt → Application Blueprint → Gemini-Assisted Build → Firebase Services → Testing → Working Prototype

Participants explore how a business requirement can be converted into an AI-enabled web application prototype, reducing the time required to validate application ideas and demonstrate functionality to stakeholders.

Existing Prototype to Deployable Application

Existing Firebase Studio Project → Code & Feature Review → Gemini-Assisted Refinement → Testing → Firebase Deployment → Migration Planning

Participants improve an existing Firebase Studio project, validate its functionality, and prepare it for deployment while identifying the appropriate long-term development environment.

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Instructor-ledVirtualHybrid

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