Role-Based Programme
RB0919

Hugging Face for Information Technology

Explore AI Models, Prototypes & Enterprise AI Use Cases

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Duration
4 Hours
Level
Awareness
Delivery
Instructor-Led
Format
Awareness Session

Programme Objectives

  • Understand the Hugging Face ecosystem and how IT teams can use it to discover, evaluate, test, and prototype AI capabilities.
  • Explore AI models relevant to IT activities such as service support, document analysis, classification, search, summarisation, and automation.
  • Interpret Model Cards and Dataset Cards to assess capabilities, limitations, licences, and technical suitability.
  • Experience practical model testing and AI application demonstrations using Hugging Face models and Spaces.
  • Recognise security, data privacy, licensing, infrastructure, and governance considerations before enterprise AI adoption.

Tools covered

Hugging Face HubModelsModel CardsDatasetsDataset CardsSpacesAI TasksInference PlaygroundInference ProvidersModel Repositories

Who should attend

  • IT Managers
  • IT Infrastructure Professionals
  • Application Support Teams
  • IT Operations Professionals
  • System Administrators
  • Cloud & Platform Professionals
  • Application Development Teams
  • Enterprise Application Professionals
  • IT Service Management Professionals
  • Solution Architects
  • Technical Support Professionals
  • Technology Transformation Teams

Prerequisites & Participant Readiness

  • Basic understanding of information-technology environments
  • Familiarity with applications, systems, cloud services, or IT support activities
  • Basic awareness of AI concepts is helpful but not mandatory
  • Basic computer and internet proficiency
  • No advanced programming or machine-learning expertise required
  • No previous Hugging Face experience required

TOC Modules

Concepts
  • Understanding Hugging Face Hub, Models, Datasets, Spaces, and AI tasks
  • Understanding how pre-trained AI models can be reused instead of building models from scratch
  • Exploring common AI capabilities such as text generation, classification, summarisation, vision, speech, and embeddings
  • Understanding the Model → Application → User → Business Process relationship
Practical activities
  • Exploring representative models and applications on Hugging Face
  • Searching for models relevant to common IT requirements
  • Mapping an IT problem to an appropriate AI task

Scenarios

AI-Assisted IT Service Desk Classification

Support Tickets → Hugging Face Model → Category / Priority Suggestion → IT Review → Routing → Service Desk Workflow

Participants explore and test a suitable AI model for classifying incoming IT-service requests, then assess its potential to improve ticket routing while retaining human validation for operational decisions.

Technical Knowledge Assistant Prototype

IT Documentation → AI Model / Prototype → User Question → Relevant Technical Response → IT Validation → Knowledge Support

Participants explore how Hugging Face models and Spaces can support a technical knowledge assistant for internal IT teams, then evaluate model capability, limitations, integration requirements, and production-readiness considerations.

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