Role-Based Programme
RB0398
Bolt.new for Product & Service Management
Build, Validate & Launch AI-Powered Product Prototypes
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Duration
16 Hours
Level
Intermediate
Delivery
Instructor-Led
Format
Capability Training
Programme Objectives
- Develop functional proficiency in converting product and service requirements into working web application prototypes using natural-language development.
- Build and iterate user journeys, interfaces, data-driven features, authentication, and product workflows without requiring traditional end-to-end development.
- Apply structured product validation techniques to test assumptions, requirements, usability, and stakeholder feedback.
- Connect prototypes with databases, version control, hosting, and analytics to support realistic product experimentation and handover.
- Establish human review, security, data privacy, technical validation, and product-governance checkpoints before production adoption.
Tools covered
Bolt.newBolt AgentBolt CloudBolt DatabaseAuthenticationVisual EditsDesign SystemsGitHub IntegrationHosting & Analytics
Who should attend
- Product Managers
- Product Owners
- Digital Product Managers
- Service Managers
- Product Analysts
- Product Operations Professionals
- Product Strategy Professionals
- Service Design Professionals
- Customer Experience Managers
- Product Innovation Professionals
- Business Product Managers
- Product & Service Team Leads
Prerequisites & Participant Readiness
- Working understanding of product or service management
- Familiarity with customer needs, user journeys, requirements, features, and product roadmaps
- Basic understanding of web applications and digital-product concepts is helpful
- Experience with product documentation or prototype reviews is beneficial
- No advanced coding expertise required
- No previous Bolt.new course completion required
TOC Modules
Concepts
- Understanding AI-assisted application development and natural-language product building
- Mapping Bolt.new across Discover → Define → Prototype → Validate → Iterate → Launch
- Understanding the relationship between product intent, generated application logic, and technical implementation
- Differentiating prototype validation from production readiness
Practical activities
- Creating a first working application from a structured product description
- Mapping Product Requirement → Bolt Prompt → Working Prototype → Validation Outcome
Scenarios
Customer Problem to Validated Digital Product Prototype
Customer Need → Product Requirements → Bolt Build Prompt → User Journey → Data Model → Working Prototype → Stakeholder Testing → Feedback → Feature Iteration → Product Decision
Participants transform a validated customer problem into a functional product prototype and systematically test whether the proposed experience addresses the intended need before committing to full-scale development.
Service Process to Pilot-Ready Digital Application
Manual Service Process → Workflow Mapping → Bolt Prototype → Authentication & Data → Business Rules → Functional Testing → GitHub Handoff → Published Pilot → Usage Review
Participants redesign a representative service workflow as a working digital application, validate usability and functionality, and prepare the prototype for technical review and controlled pilot adoption.
Related programmes
Continue with programmes from the same capability area.
- ChatGPT for Human Resources: AI Skills for Smarter Everyday HR
- ChatGPT for Human Resources: Practical AI for Smarter HR Workflows
- ChatGPT for Human Resources: Research, Analyse & Build Smarter HR Workflows
- ChatGPT for Human Resources: Advanced AI Workflows, Automation & HR Intelligence
- ChatGPT for Sales & Business Development: Practical AI Skills for Modern Sales Teams
- ChatGPT for Sales & Business Development: Research, Engage & Build Smarter Sales Workflows
- ChatGPT for Sales & Business Development: Advanced AI Workflows, Account Intelligence & Sales Automation
- ChatGPT for Marketing: AI Skills for Modern Marketing Teams
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