Tool or Technology
TT0173

Hugging Face Unlocked

Explore, Test & Apply Open AI Models

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

Programme Objectives

  • Understand Hugging Face as an ecosystem for discovering, evaluating, testing, and using open AI and machine-learning models.
  • Explore the Hugging Face Hub, model repositories, datasets, Spaces, and Model Cards for AI experimentation and collaboration.
  • Develop awareness of how to select suitable models based on task, modality, licensing, limitations, and evaluation information.
  • Experience practical workflows for testing language, image, and other AI models through browser-based inference capabilities.
  • Recognise responsible practices related to model licensing, bias, data privacy, security, performance, and human validation.

Technology covered

Hugging Face HubModelsModel CardsDatasetsSpacesInference PlaygroundInference ProvidersTransformers

Who should attend

  • AI & Machine Learning Professionals
  • Data Scientists
  • Data Engineers
  • Software & Application Developers
  • Generative AI Developers
  • MLOps & Platform Engineers
  • Solution & AI Architects
  • Technical Leads
  • Research & Innovation Teams
  • Digital Transformation Professionals
  • Technical Consultants & Solution Engineers
  • Business Analysts Working on AI Initiatives

Prerequisites & Participant Readiness

  • Basic understanding of Artificial Intelligence or Machine Learning is helpful
  • Basic computer and internet proficiency
  • Familiarity with Python is beneficial for selected demonstrations but not mandatory
  • Basic understanding of APIs is helpful but not required
  • No previous Hugging Face experience required
  • No model-training experience required for this Awareness programme

TOC Modules

Concepts
  • Understanding Hugging Face and its role in the open AI and machine-learning ecosystem
  • Understanding the Hugging Face Hub as a platform for models, datasets, and applications
  • Exploring common AI tasks such as text generation, classification, image generation, speech, and multimodal processing
  • Understanding open models versus proprietary AI services
  • Recognising opportunities for experimentation, development, research, and enterprise AI adoption
Practical activities
  • Exploring the Hugging Face Hub interface
  • Searching for models relevant to a simple business or technical requirement

Scenarios

Selecting an AI Model for a Business Application

Business Requirement → Hugging Face Hub Search → Model Comparison → Model Card Review → Inference Testing → Model Recommendation

Participants identify and evaluate open AI models for a defined business requirement, compare capabilities and limitations, and recommend a suitable model for further technical evaluation.

Open Model to AI Prototype

AI Use Case → Model Selection → Hugging Face Inference → Sample Inputs → Output Evaluation → Prototype Recommendation

Participants use Hugging Face to test an appropriate open model against realistic inputs and evaluate whether it is suitable for progressing into an AI-powered application or proof of concept.

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