Role-Based Programme
RB0362

Replit for Product & Service Management

Advanced AI Product Prototyping, MVP Engineering & Product Lifecycle Execution

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

Programme Objectives

  • Develop advanced expertise in using Replit to transform product ideas, customer problems, and service opportunities into functional digital applications and MVPs.
  • Apply Replit Agent and AI-assisted development across product discovery, requirements, prototyping, feature implementation, testing, deployment, and iteration.
  • Design data-driven, authenticated, API-connected product experiences aligned with business requirements and user journeys.
  • Build reusable product-development workflows that improve collaboration between product, design, engineering, business, and stakeholder teams.
  • Apply security, privacy, architecture review, technical validation, responsible AI, and production-governance practices throughout AI-assisted product development.

Tools covered

ReplitReplit AgentAI-Assisted Application DevelopmentReplit WorkspaceFull-Stack Web ApplicationsUI GenerationDatabase IntegrationAuthenticationAPIsSecrets & Environment VariablesVersion ControlCollaborationApplication TestingDeploymentMonitoring & Product Prototype Workflows

Who should attend

  • Senior Product Managers
  • Product Directors
  • Product Owners
  • Technical Product Managers
  • Digital Product Managers
  • AI Product Managers
  • Service Managers
  • Product Operations Professionals
  • Product Analysts
  • Innovation Managers
  • Business Analysts
  • Product Strategy Professionals
  • Customer Experience Professionals
  • Service Design Professionals
  • Product & Service Transformation Leaders

Prerequisites & Participant Readiness

  • Working knowledge of product or service-management practices
  • Experience with customer discovery, requirements, roadmaps, MVPs, or digital-product development
  • Basic understanding of web applications, databases, APIs, and software-development concepts
  • Ability to define user journeys, features, business rules, and acceptance criteria
  • Basic familiarity with generative AI and prompt-based development is helpful
  • No advanced software-engineering expertise required
  • No previous Replit training required

TOC Modules

Concepts
  • Understanding Replit as an AI-assisted cloud development environment for building and operating digital products
  • Understanding the relationship between product prompts, generated code, application architecture, data, and deployment
  • Mapping Replit capabilities across discovery, prototype, MVP, pilot, and production-transition stages
  • Differentiating product ownership, AI-generated implementation, and engineering accountability
Practical activities
  • Exploring the Replit workspace and AI-assisted development workflow
  • Creating a functional application from a defined product concept
  • Mapping Product Problem → Requirements → Replit Build → Validation → Iteration
  • Establishing a structured product-development workspace

Scenarios

Customer Problem to Deployable Product MVP

Customer Research → Product Problem → Requirements & Acceptance Criteria → Replit Agent Build → UI & Workflow → Database & Authentication → API Integration → Testing → Controlled Deployment → Stakeholder Validation

Participants transform a validated customer problem into a functional MVP while maintaining human ownership of product scope, technical architecture, security approval, and release decisions.

Manual Service Process to Digital Product

Existing Service Workflow → Pain-Point Analysis → Digital Experience Design → Replit Application → Data & Role-Based Workflow → AI-Assisted Feature → User Testing → Improvement Backlog → Product & Engineering Review

Participants convert a manual service process into a data-driven digital application and iteratively improve it using product evidence while preserving accountable human control over production and customer-impacting decisions.

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