Role-Based Programme
RB0622

Firebase Studio for Product & Service Management

Advanced AI App Prototyping, Product Validation & Migration Strategy

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Duration
32 Hours
Level
Advanced
Delivery
Instructor-Led
Format
Capability Development

Programme Objectives

  • Develop advanced capability in converting product opportunities, requirements, and service concepts into AI-assisted functional prototypes within existing Firebase Studio environments.
  • Architect product prototypes combining user experiences, Firebase services, data, authentication, and Gemini-powered functionality.
  • Build structured workflows for validating customer journeys, AI behaviours, security rules, technical feasibility, and product assumptions.
  • Manage the transition from experimental prototypes to engineering handoff, controlled deployment, and product decision-making.
  • Create a practical migration strategy for preserving product assets, requirements, code, data architecture, and AI workflows beyond Firebase Studio's lifecycle.

Tools covered

Firebase StudioApp Prototyping AgentGemini in Firebase StudioCode ViewNext.js PrototypesFirebase AuthenticationCloud FirestoreCloud StorageFirebase App HostingGemini Developer APIGenkitGenkit Developer UIFirebase Local Emulator SuiteGitHub IntegrationPreview & Deployment Workflows

Who should attend

  • Senior Product Managers
  • Product Owners
  • Technical Product Managers
  • Digital Product Managers
  • AI Product Managers
  • Service Managers
  • Product Strategy Managers
  • Product Operations Professionals
  • Product Analysts
  • Business Analysts
  • Service Design Professionals
  • Innovation Managers
  • Product Transformation Leads
  • Product & Engineering Leads

Prerequisites & Participant Readiness

  • Working knowledge of product or service-management practices
  • Familiarity with product requirements, user journeys, prioritization, and stakeholder management
  • Basic understanding of web or application concepts
  • Awareness of APIs, databases, authentication, and cloud services is helpful
  • Comfort collaborating with engineering and design teams
  • No mandatory programming prerequisite; generated code and technical configurations are reviewed from a product-management perspective
  • Access to an existing Firebase Studio workspace is required for Firebase Studio-specific hands-on activities because new workspace creation is no longer available. ([Firebase][1])

TOC Modules

Concepts
  • Understanding Firebase Studio's AI-assisted development environment and current lifecycle
  • Understanding Code View, Gemini assistance, existing App Prototyping workflows, previews, and Firebase integrations
  • Mapping Firebase Studio capabilities to product discovery, experimentation, validation, and engineering collaboration
  • Distinguishing rapid prototype evidence from production-readiness evidence
Practical activities
  • Auditing an existing Firebase Studio workspace and identifying product-management use cases
  • Mapping Prototype → Validation → Engineering → Migration stages
  • Creating a Firebase Studio product-workspace assessment
  • Defining success measures for a product-prototyping initiative

Scenarios

Customer Problem to AI-Powered Product Validation

Customer Evidence → Product Hypothesis → Requirements → Firebase Studio Prototype → Firebase Data & Authentication → Gemini-Powered Feature → Emulator Testing → User Validation → Findings → Product Decision

Participants transform validated customer needs into a functional product concept, test the critical journeys and AI behaviour, and produce an evidence-based recommendation on whether the initiative should progress to engineering investment.

Existing Firebase Studio Product to Migration-Ready Roadmap

Existing Workspace → Product & Technical Inventory → Critical Features → Dependencies & Risks → Migration Option Assessment → Target Platform → Validation Plan → Prioritized Migration Backlog → Product Continuity Roadmap

Participants assess an existing Firebase Studio product initiative and prepare a controlled transition plan that preserves customer value, product knowledge, technical assets, and roadmap continuity ahead of the platform sunset.

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