Build & Deploy AI with Hugging Face | Hands-On - Printable Version +- Softwarez.Info - Software's World! (https://softwarez.info) +-- Forum: Library Zone (https://softwarez.info/Forum-Library-Zone) +--- Forum: Video Tutorials (https://softwarez.info/Forum-Video-Tutorials) +--- Thread: Build & Deploy AI with Hugging Face | Hands-On (/Thread-Build-Deploy-AI-with-Hugging-Face-Hands-On)

Build & Deploy AI with Hugging Face | Hands-On - OneDDL - 12-24-2025 Free Download Build & Deploy AI with Hugging Face | Hands-On Published 12/2025 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch Language: English | Duration: 3h 1m | Size: 1.7 GB Learn to Build, Fine-Tune and Deploy Modern AI Models with Hugging Face What you'll learn Understand the Hugging Face ecosystem and core components Use pre-trained models with the Transformers library Work with tokenizers, configs and inference pipelines Prepare and manage datasets using the Datasets library Build own model with custom config Fine-tune models on custom datasets Evaluate model performance and metrics Optimize and scale training with Accelerate and Optimum Manage and share assets on the Hugging Face Hub Deploy models using Hugging Face Spaces Requirements Basic understanding of Python Familiarity with Machine Learning and Generative AI fundamentals Description Artificial Intelligence is rapidly evolving, driven by open-source innovation and large-scale foundation models. Hugging Face has emerged as the leading platform for discovering, training and deploying state-of-the-art AI models, enabling developers and organizations to build powerful AI solutions efficiently.This course is designed for developers, machine learning engineers, data scientists and AI enthusiasts who want to master the Hugging Face ecosystem - from understanding models, transformers and datasets to fine-tuning, optimizing and deploying real-world AI applications using open-source tools.You'll learn how to leverage the Hugging Face Hub, Transformers, Datasets, Accelerate and Spaces to build scalable, efficient, and production-ready AI solutions. By the end of this course, you'll be able to confidently work with modern open-source LLMs and deploy interactive AI applications.What is in this courseYou begin with an introduction to Hugging Face and its ecosystem, helping you understand how models, datasets and spaces work together. You'll then move into hands-on development using core Hugging Face libraries and workflows.Throughout the course, you'll gain practical experience through demonstrations and projects that cover:Understanding Hugging Face models, datasets, and space cardsExploring and using pre-trained models from the Hugging Face HubWorking with the Transformers library for inference and customizationPreparing and tokenizing datasets using the Datasets libraryFine-tuning models on custom datasetsEvaluating model performance and managing training workflowsOptimizing training using Accelerate and Optimum librariesDeploying models as interactive applications using Hugging Face SpacesBuilding end-to-end AI applications with open-source modelsBy the end of this course, you'll have the skills and confidence to design, train, optimize, and deploy AI solutions using the Hugging Face ecosystem.Special NoteThis course focuses heavily on hands-on learning. Modules include live demonstrations and practical workflows, ensuring you gain real-world experience with Hugging Face tools rather than just theoretical knowledge.Course StructureLecturesLive DemonstrationsHands-on LabsCourse ContentsIntroduction to Hugging FaceHugging Face Ecosystem and HubExploring Models and Model CardsTransformers Library Deep DiveWorking with DatasetsFine-Tuning and Training ModelsModel Evaluation and OptimizationScaling and Performance OptimizationModel Deployment with Hugging Face SpacesAll sections of this course are demonstrated live, with the goal of encouraging enrolled users to set up their own environments, complete the exercises and learn through hands-on experience! Who this course is for Developers working with AI and Generative AI Machine Learning and NLP Engineers Data Scientists exploring open-source LLMs Students and professionals learning modern AI workflows Researchers and AI enthusiasts interested in Hugging Face Teams building and deploying AI-powered applications using open-source models Homepage [To see links please register or login] Recommend Download Link Hight Speed | Please Say Thanks Keep Topic Live [To see links please register or login] No Password - Links are Interchangeable