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Hugging Face Courses

Hugging Face courses can help you learn natural language processing, transformer models, and how to fine-tune AI models for specific tasks. You can build skills in text generation, sentiment analysis, and deploying machine learning applications. Many courses introduce tools like the Hugging Face Transformers library and datasets from the Hugging Face Hub, that support training and evaluating AI models effectively. You'll also explore practical applications of AI in chatbots, content creation, and language translation.

Popular Hugging Face Courses and Certifications


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  • H

    Hugging Face

    Getting Started with Hugging Face Transformers

    Skills you'll gain: Model Evaluation, Model Deployment, Large Language Modeling, Data Preprocessing, Model Optimization, Application Programming Interface (API), Memory Management

    Beginner · Course · 1 - 4 Weeks

    Category: New
    New
    Status: Free trial
    Free trial
  • D

    DeepLearning.AI

    Open Source Models with Hugging Face

    Skills you'll gain: Hugging Face, Model Deployment, Cloud Deployment, Natural Language Processing, Image Analysis, User Interface (UI), Fine-tuning, Computer Vision

    4.8 stars, 172 reviews, Beginner, Project, Less Than 2 Hours

    ★ 4.8 (172) · Beginner · Project · Less Than 2 Hours

    Category: Free
    Free
  • C

    Coursera

    Selecting the Right LLM with Hugging Face

    Skills you'll gain: Hugging Face, Model Evaluation, LLM Application, Large Language Modeling, Retrieval-Augmented Generation, Computer Programming

    4.9 stars, 9 reviews, Intermediate, Course, 1 - 4 Weeks

    ★ 4.9 (9) · Intermediate · Course · 1 - 4 Weeks

    Status: Free trial
    Free trial
  • P

    Pragmatic AI Labs

    Next-Gen AI Development with Hugging Face

    Skills you'll gain: Prompt Engineering, Hugging Face, Fine-tuning, Model Deployment, MLOps (Machine Learning Operations), CI/CD, Model Evaluation, Data Preprocessing, Generative AI Agents, Model Training, Large Language Modeling, Image Analysis, Rust (Programming Language), Model Optimization, Applied Machine Learning, Natural Language Processing, AI Orchestration, Data Validation, Continuous Deployment, Data Processing

    Beginner · Specialization · 3 - 6 Months

    Status: Free trial
    Free trial
  • C

    Coursera

    Machine Learning with Scikit-learn, PyTorch & Hugging Face

    Skills you'll gain: Generative AI, Model Evaluation, Supervised Learning, Generative Model Architectures, Recurrent Neural Networks (RNNs), Unsupervised Learning, Data Preprocessing, Large Language Modeling, Time Series Analysis and Forecasting, Exploratory Data Analysis, LLM Application, Applied Machine Learning, Generative Adversarial Networks (GANs), Data Collection, Model Optimization, Convolutional Neural Networks, Model Deployment, Transfer Learning, Machine Learning Methods, Model Training

    4.1 stars, 37 reviews, Intermediate, Professional Certificate, 3 - 6 Months

    ★ 4.1 (37) · Intermediate · Professional Certificate · 3 - 6 Months

    Status: Free trial
    Free trial
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  • E

    Edureka

    Building LLMs with Hugging Face and LangChain

    Skills you'll gain: LangChain, LLM Application, Hugging Face, Retrieval-Augmented Generation, LangGraph, AI Workflows, Large Language Modeling, AI Orchestration, Generative AI, Token Optimization, AI Integrations, Generative Model Architectures, CI/CD, Data Integration, Fine-tuning, Embeddings, Security Controls, Model Training, Containerization, Docker (Software)

    2 stars, 9 reviews, Intermediate, Specialization, 1 - 3 Months

    ★ 2 (9) · Intermediate · Specialization · 1 - 3 Months

    Status: Free trial
    Free trial
  • I

    IBM

    IBM AI Engineering

    Skills you'll gain: Prompt Engineering, Apache Spark, Large Language Modeling, Retrieval-Augmented Generation, PyTorch (Machine Learning Library), Computer Vision, Unsupervised Learning, Generative Model Architectures, Generative AI, Model Optimization, Keras (Neural Network Library), Supervised Learning, LLM Application, Generative AI Agents, Model Evaluation, Vector Databases, Fine-tuning, Machine Learning, Python Programming, Data Science

    4.6 stars, 22K reviews, Intermediate, Professional Certificate, 3 - 6 Months

    ★ 4.6 (22K) · Intermediate · Professional Certificate · 3 - 6 Months

    Status: Top AI program
    Top AI program
    Status: Free trial
    Free trial
  • H

    Hugging Face

    Generative AI Development with Hugging Face

    Skills you'll gain: Fine-tuning, Hugging Face, Multimodal Prompts, Model Context Protocol, LLM Application, AI Workflows, Agentic Workflows, Retrieval-Augmented Generation, UI Components, Generative AI, Responsible AI, Model Evaluation, Data Preprocessing, Application Design, Agentic systems, Large Language Modeling, Model Deployment, Applied Machine Learning, Model Optimization, Application Programming Interface (API)

    Intermediate · Specialization · 1 - 3 Months

    Category: New
    New
    Status: Free trial
    Free trial
  • D

    Duke University

    MLOps | Machine Learning Operations

    Skills you'll gain: Fine-tuning, MLOps (Machine Learning Operations), Model Deployment, Cloud Deployment, Pandas (Python Package), AWS SageMaker, NumPy, Microsoft Azure, Hugging Face, GitHub Copilot, Responsible AI, Data Manipulation, DevOps, Cloud Computing, Python Programming, Machine Learning, GitHub, Big Data, Data Management, Data Analysis

    4.1 stars, 653 reviews, Advanced, Specialization, 3 - 6 Months

    ★ 4.1 (653) · Advanced · Specialization · 3 - 6 Months

    Status: Trending right now
    Trending right now
    Status: Free trial
    Free trial
  • H

    Hugging Face

    Building AI Apps with Hugging Face Spaces and Gradio

    Skills you'll gain: Fine-tuning, Hugging Face, LLM Application, Model Deployment, UI Components, Data Preprocessing, Model Evaluation, Application Design, Event-Driven Programming, Model Training, Cloud Deployment, Application Deployment, Cloud Infrastructure, User Interface (UI), Application Programming Interface (API), Context Management, User Interface (UI) Design

    Intermediate · Course · 1 - 4 Weeks

    Category: New
    New
    Status: Free trial
    Free trial
  • E

    Edureka

    Introduction to LLMs and Hugging Face

    Skills you'll gain: Hugging Face, LLM Application, LangChain, Large Language Modeling, OpenAI, Natural Language Processing, Generative AI Agents, ChatGPT, AI Integrations, Responsible AI, Fine-tuning, Embeddings, Application Programming Interface (API), Model Training, Restful API, Agentic systems, Open Source Technology, Data Preprocessing, MLOps (Machine Learning Operations), Python Programming

    1.7 stars, 6 reviews, Beginner, Course, 1 - 4 Weeks

    ★ 1.7 (6) · Beginner · Course · 1 - 4 Weeks

    Status: Free trial
    Free trial
  • H

    Hugging Face

    Introduction to Multimodal AI with Hugging Face

    Skills you'll gain: Model Context Protocol, Hugging Face, AI Workflows, Agentic Workflows, Retrieval-Augmented Generation, Generative AI, Responsible AI, Agentic systems, AI Security, Model Deployment, Image Analysis, Computer Vision, Fine-tuning

    Intermediate · Course · 1 - 4 Weeks

    Category: New
    New
    Status: Free trial
    Free trial
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Best Hugging Face courses from Hugging Face

Top-rated Hugging Face courses offered by Hugging Face on Coursera.

  1. 1
    Getting Started with Hugging Face Transformers
    Hugging FaceBeginner1 - 4 WeeksHugging Face
  2. 2
    Generative AI Development with Hugging Face
    Hugging FaceIntermediate1 - 3 MonthsHugging Face
  3. 3
    Building AI Apps with Hugging Face Spaces and Gradio
    Hugging FaceIntermediate1 - 4 WeeksHugging Face

Best Hugging Face certificate programs

Earn a certificate in Hugging Face from top universities and companies.

  1. 1
    Next-Gen AI Development with Hugging Face
    Pragmatic AI LabsBeginner3 - 6 Months4.3(3)Specialization
  2. 2
    Machine Learning with Scikit-learn, PyTorch & Hugging Face
    CourseraIntermediate3 - 6 Months4.1(37)Professional Certificate
  3. 3
    Building LLMs with Hugging Face and LangChain
    EdurekaIntermediate1 - 3 Months2.0(9)Specialization

Best Hugging Face courses for beginners

Top-rated beginner-friendly Hugging Face courses with no prerequisites.

  1. 1
    Open Source Models with Hugging Face
    DeepLearning.AIBeginnerLess Than 2 Hours4.8(172)No prerequisites
  2. 2
    Introduction to LLMs and Hugging Face
    EdurekaBeginner1 - 4 Weeks1.7(6)No prerequisites

Frequently Asked Questions about Hugging Face

Hugging Face is a leading platform in the field of artificial intelligence, particularly known for its contributions to natural language processing (NLP) and machine learning. It provides a suite of tools and libraries that simplify the development and deployment of machine learning models, making advanced technologies more accessible to developers and researchers. Hugging Face is important because it democratizes AI, allowing individuals and organizations to leverage state-of-the-art models for various applications, from chatbots to content generation. Its open-source approach fosters collaboration and innovation, making it a vital resource in the AI community.‎

Careers related to Hugging Face are diverse and rapidly growing, reflecting the increasing demand for AI expertise. Some potential job roles include machine learning engineer, data scientist, NLP researcher, and AI product manager. These positions often involve working with Hugging Face's tools to build and optimize models, analyze data, and develop AI-driven applications. Additionally, roles in academia and research institutions are available for those interested in pushing the boundaries of AI technology. As businesses continue to integrate AI solutions, the job market for Hugging Face-related positions is expected to expand.‎

To effectively work with Hugging Face(https://www.coursera.org/courses?query=hugging face), several key skills are essential. A strong foundation in programming, particularly in Python, is crucial, as most Hugging Face libraries are built in this language. Understanding machine learning concepts, including supervised and unsupervised learning, is also important. Familiarity with natural language processing techniques, such as tokenization and model training, will enhance your ability to utilize Hugging Face tools. Additionally, knowledge of deep learning frameworks like PyTorch or TensorFlow can be beneficial, as many Hugging Face models are built on these platforms.‎

There are several excellent online courses that focus on Hugging Face and its applications. One notable option is the Machine Learning with Scikit-learn, PyTorch & Hugging Face Professional Certificate, which provides a comprehensive introduction to machine learning using Hugging Face tools. Another valuable course is Gen AI Using Hugging Face Training, which focuses on generative AI applications. For those interested in MLOps, the MLOps Tools: MLflow and Hugging Face course is a great resource.‎

Yes. You can start learning hugging face on Coursera for free in two ways:

  1. Preview the first module of many hugging face courses at no cost. This includes video lessons, readings, graded assignments, and Coursera Coach (where available).
  2. Start a 7-day free trial for Specializations or Coursera Plus. This gives you full access to all course content across eligible programs within the timeframe of your trial.

If you want to keep learning, earn a certificate in hugging face, or unlock full course access after the preview or trial, you can upgrade or apply for financial aid.‎

Learning Hugging Face can be approached through a combination of structured courses and hands-on practice. Start by enrolling in introductory courses that cover the basics of machine learning and natural language processing. Utilize the resources available on Hugging Face's official website, including documentation and tutorials, to familiarize yourself with their libraries. Engage in practical projects, such as building simple models or contributing to open-source projects, to reinforce your understanding. Joining online communities and forums can also provide support and insights from fellow learners and professionals.‎

Hugging Face(https://www.coursera.org/courses?query=hugging face) courses typically cover a range of topics essential for understanding and utilizing its tools effectively. Key subjects include natural language processing fundamentals, model training and fine-tuning, and the use of pre-trained models for various applications. Courses may also explore advanced topics like transfer learning, deployment strategies, and integration with other machine learning frameworks. Practical exercises and projects are often included to help learners apply their knowledge in real-world scenarios.‎

For training and upskilling employees or the workforce, several Hugging Face courses stand out. The Machine Learning with Scikit-learn, PyTorch & Hugging Face Professional Certificate is particularly beneficial for organizations looking to build foundational AI skills among their teams. Additionally, the Gen AI Using Hugging Face Training course can help employees understand generative AI applications, which are increasingly relevant in various industries. These courses provide structured learning paths that can enhance team capabilities in AI and machine learning.‎

This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.

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