Role-Based Programme
RB0932

Hugging Face for Product & Service Management

Discover AI Capabilities, Evaluate Models & Shape AI Products

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Duration
8 Hours
Level
Basic
Delivery
Instructor-Led
Format
Workshop

Programme Objectives

  • Build foundational proficiency in using Hugging Face to discover AI models, datasets, demos, and capabilities relevant to product and service opportunities.
  • Evaluate model purpose, limitations, performance evidence, datasets, and usage considerations using Model Cards and Dataset Cards.
  • Compare alternative AI models and approaches to support product feasibility and solution-selection discussions.
  • Explore AI prototypes and demonstrations through Spaces and interactive model experiences before committing to development.
  • Apply responsible product judgement around model suitability, data quality, licensing, risk, and human validation.

Tools covered

Hugging Face HubModelsModel CardsDatasetsDataset CardsSpacesCollectionsInteractive Model WidgetsInference Playground

Who should attend

  • Product Managers
  • Product Owners
  • Service Managers
  • Digital Product Managers
  • AI Product Managers
  • Product Operations Professionals
  • Product Analysts
  • Business Analysts
  • Product Strategy Professionals
  • Service Design Professionals
  • Innovation Managers
  • Product & Service Team Leads

Prerequisites & Participant Readiness

  • Basic understanding of product or service management activities
  • Familiarity with customer requirements, product discovery, or solution evaluation
  • Basic awareness of Artificial Intelligence and Machine Learning is helpful
  • No model-development or programming expertise required
  • No previous Hugging Face experience required

TOC Modules

Concepts
  • Understanding Hugging Face and the role of the Hub in the AI ecosystem
  • Understanding models, datasets, Spaces, repositories, and AI applications
  • Identifying product opportunities across language, vision, audio, and multimodal AI
  • Understanding the difference between an AI capability, model, prototype, and production product
Practical activities
  • Exploring the Hugging Face Hub from a product-management perspective
  • Discovering models and applications relevant to a defined product requirement
  • Creating an initial AI capability shortlist

Scenarios

Customer Need to AI Product Feature

Customer Problem → Hugging Face Model Discovery → Model Card Review → Dataset Review → Space Prototype → Model Comparison → Feature Requirement → Product Recommendation

Participants explore a real product requirement, shortlist appropriate AI capabilities, evaluate supporting evidence, test available prototypes, and develop a structured recommendation for an AI-enabled product feature.

AI Model Selection for a Digital Service

Service Requirement → Candidate Models → Consistent Test Cases → Capability Comparison → Limitations & Risks → Product Fit Assessment → Stakeholder Brief

Participants compare multiple candidate models for a digital service and create an evidence-based model-selection brief covering product value, limitations, risks, and areas requiring technical validation.

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