Role-Based Programme
RB0920

Hugging Face for Information Technology

Manage AI Models, Access & Deployment Workflows

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Duration
8 Hours
Level
Basic
Delivery
Instructor-Led
Format
Workshop

Programme Objectives

  • Build foundational capability to use Hugging Face for discovering, organising, accessing, and managing AI models and related resources.
  • Understand how IT teams can support AI repositories, authentication, access control, security, inference, and deployment environments.
  • Apply practical workflows for testing AI models and connecting them with applications through managed inference services.
  • Configure basic security and governance practices for enterprise use of Hugging Face resources.
  • Develop repeatable IT workflows for evaluating, deploying, monitoring, and supporting AI-enabled services.

Tools covered

Hugging Face HubModel & Dataset RepositoriesSpacesInference ProvidersInference EndpointsOrganizationsAccess TokensSecurity Scanning

Who should attend

  • IT Managers
  • IT Operations Professionals
  • System Administrators
  • Cloud Engineers
  • Infrastructure Engineers
  • Application Support Professionals
  • DevOps Professionals
  • Platform Engineers
  • AI Platform Support Professionals
  • IT Service Management Professionals
  • Solution Architects
  • Technology Team Leads

Prerequisites & Participant Readiness

  • Basic understanding of IT infrastructure, applications, or cloud services
  • Familiarity with APIs, authentication, or deployment concepts is helpful
  • Basic awareness of Artificial Intelligence and Machine Learning is beneficial
  • Basic command-line or scripting knowledge is helpful but not mandatory
  • No advanced data-science knowledge required
  • No previous Hugging Face experience required

TOC Modules

Concepts
  • Understanding Hugging Face and the Hugging Face Hub ecosystem
  • Understanding models, datasets, Spaces, repositories, and inference services
  • Identifying Hugging Face use cases across enterprise IT and AI-enabled applications
  • Understanding the Model → Repository → Inference → Application workflow
Practical activities
  • Navigating the Hugging Face Hub from an IT perspective
  • Exploring model, dataset, and Space repositories
  • Identifying resources suitable for a sample IT requirement

Scenarios

Enterprise AI Model Deployment

Business Requirement → Hugging Face Model Discovery → Repository Review → Security Validation → Access Configuration → Inference Deployment → Monitoring

Participants evaluate a Hugging Face model for an internal application and design a controlled IT workflow covering model selection, access, security, deployment, and operational monitoring.

Secure Internal AI Service

AI Requirement → Private / Controlled Resources → User Roles → Access Token → Inference Service → Application Integration → IT Support

Participants design a secure AI-enabled internal service using Hugging Face resources, defining appropriate permissions, authentication, deployment requirements, and ongoing IT support controls.

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