Role-Based Programme
RB0375

Lovable.dev for Product & Service Management

Architect, Validate & Scale AI-Built Digital Products

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

Programme Objectives

  • Develop advanced expertise in converting customer problems, product requirements, and service opportunities into fully functional digital products using Lovable.dev.
  • Architect product experiences covering user journeys, application logic, data models, authentication, permissions, integrations, analytics, and deployment.
  • Build reusable product-development workflows spanning discovery, prototyping, validation, experimentation, launch, and continuous improvement.
  • Integrate Lovable-built products with backend services, external APIs, automation platforms, and engineering workflows.
  • Establish security, privacy, technical validation, product governance, human approval, and scalable handover practices for AI-generated applications.

Tools covered

Lovable.devLovable AI App BuilderLovable CloudSupabasePostgreSQLAuthenticationFile StorageRealtime DataEdge FunctionsVisual EditingGitHub SyncAPI Integrationsn8n IntegrationsAnalyticsCustom Domains & Deployment

Who should attend

  • Senior Product Managers
  • Product Owners
  • Digital Product Managers
  • AI Product Managers
  • Service Managers
  • Product Strategy Professionals
  • Product Operations Leaders
  • Product Innovation Professionals
  • Product Analysts
  • Service Design Professionals
  • Customer Experience Leaders
  • Digital Transformation Professionals
  • Product & Engineering Liaison Professionals
  • Product & Service Team Leads

Prerequisites & Participant Readiness

  • Strong working understanding of product or service management
  • Familiarity with customer discovery, requirements, roadmaps, user journeys, MVPs, and product metrics
  • Basic understanding of web applications, APIs, databases, and authentication is recommended
  • Experience reviewing prototypes or working with technical teams is beneficial
  • Basic understanding of structured prompting is helpful
  • No advanced programming expertise required
  • No previous Lovable.dev course completion required

TOC Modules

Concepts
  • Understanding Lovable as an AI-powered full-stack product-development environment
  • Mapping Product Discovery → Prototype → Build → Validate → Launch → Scale
  • Understanding generated frontend, backend, database, authentication, integrations, and deployment architecture
  • Differentiating prototype speed from production engineering readiness
Practical activities
  • Building a functional multi-page product from a structured product brief
  • Mapping Product Requirement → Lovable Capability → Technical Component → Business Outcome

Scenarios

Validated Customer Problem to Production-Oriented SaaS Product

Customer Evidence → Product Requirements → Lovable Architecture → User Journeys → Supabase Data Model → Authentication → Business Logic → API / n8n Integrations → Payments → Testing → GitHub Review → Controlled Launch

Participants transform a validated customer need into a functional digital product with real data, users, integrations, and commercial workflows while maintaining human ownership of product, technical, security, and launch decisions.

Manual Service Model to Scalable Digital Product

Existing Service Process → Workflow Analysis → Product Redesign → Lovable Application → Role-Based Experiences → Data & Automation → Analytics → User Pilot → Evidence Review → Iteration → Engineering Handover → Scale Plan

Participants redesign a manual or fragmented service as a scalable digital product, validate its experience and operational model with evidence, and prepare it for controlled organisational adoption and further engineering development.

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