Learn Hugging Face Bootcamp

Learn Hugging Face Bootcamp, available at $54.99, has an average rating of 4.64, with 49 lectures, 1 quizzes, based on 206 reviews, and has 3091 subscribers.

You will learn about Master Hugging Face's platform, including models, datasets, and spaces. Set up AI development environments with Hugging Face and Google Colab. Use Transformers for NLP tasks like text classification and entity recognition. Develop and train image generation models using the Diffusers library. Apply cutting-edge video and audio models for media generation and analysis. Build interactive AI applications with Gradio, making ML models user-friendly. Understand and implement advanced techniques in large language models. Initiate, manage, and deploy comprehensive machine learning projects. This course is ideal for individuals who are Python developers wanting to learn Hugging Face platform It is particularly useful for Python developers wanting to learn Hugging Face platform.

Enroll now: Learn Hugging Face Bootcamp

Summary

Title: Learn Hugging Face Bootcamp

Price: $54.99

Average Rating: 4.64

Number of Lectures: 49

Number of Quizzes: 1

Number of Published Lectures: 49

Number of Published Quizzes: 1

Number of Curriculum Items: 50

Number of Published Curriculum Objects: 50

Original Price: $199.99

Quality Status: approved

Status: Live

What You Will Learn

Master Hugging Face's platform, including models, datasets, and spaces.
Set up AI development environments with Hugging Face and Google Colab.
Use Transformers for NLP tasks like text classification and entity recognition.
Develop and train image generation models using the Diffusers library.
Apply cutting-edge video and audio models for media generation and analysis.
Build interactive AI applications with Gradio, making ML models user-friendly.
Understand and implement advanced techniques in large language models.
Initiate, manage, and deploy comprehensive machine learning projects.

Who Should Attend

Python developers wanting to learn Hugging Face platform

Target Audiences

Python developers wanting to learn Hugging Face platform

Unlock the Future of AI: Master Hugging Face & Open Source Machine Learning

Welcome to the Ultimate Journey in Cutting-Edge AI Technologies!

Dive into the dynamic world of artificial intelligence with our comprehensive course designed to empower you with the knowledge and skills to harness the full potential of Hugging Face and other open-source machine learning tools. Whether you’re aiming to innovate in tech, enhance your career, or simply passionate about AI, this course is your gateway to becoming a part of the AI revolution.

Course Overview

Kickstart Your Adventure

Get introduced to the world of AI with an in-depth look at the course structure and what you can expect to achieve.

Exploring Hugging Face

Delve into Hugging Face, the cutting-edge platform revolutionizing AI development.
Learn the essentials of setting up your Hugging Face account, managing tokens, understanding models, and more.
Gain practical insights into using datasets and the ecosystem of Python packages critical for AI development.

Mastery Over NLP with Transformers

Explore the Transformers library to unleash powerful NLP capabilities.
Tackle real-world tasks like text classification, named entity recognition, and more using pipelines.
Deep dive into large language models (LLMs), from tokenization to text generation, and discover their fascinating applications.

The Art of Diffusion with the Diffusers Library

Step into the world of image generation with the Diffusers library.
From setting up diffusion models to generating breathtaking images, get hands-on experience in the entire workflow.
Learn the intricacies of models like U-net and techniques for effective image training.

Venturing into Video Models

Understand and apply cutting-edge video models like Stable Video Diffusion and AnimateDiff.
Discover innovative methods to bring static images to life and generate high-quality video content.

The Universe of Audio Models

Uncover the potential of audio in AI with modules dedicated to audio classification, transcription, and generation.
Learn the essential skills to handle and process complex audio data effectively.

Building Machine Learning GUIs with Gradio

Master the art of creating user-friendly machine learning interfaces using Gradio.
From simple components to complex interactive GUIs, learn to build applications that make your ML models accessible and practical.

Real-World Applications

Tech Innovators: Integrate advanced AI models into your projects or start-ups to drive innovation.
Business Professionals: Enhance decision-making processes by implementing AI-driven solutions.
Creative Minds: Create stunning art, generate music, or develop interactive media and games using the skills acquired.

Why Choose This Course?

Hands-On Learning: Each section includes practical tasks and projects to consolidate learning and build your portfolio.
Industry-Relevant Skills: The curriculum is designed to equip you with skills highly sought after in the tech industry.
Community and Support: Gain exclusive access to a community of like-minded learners and industry experts.

Embrace the opportunity to transform the digital landscape with your creativity and expertise. Enroll now and start your journey towards mastering Hugging Face and open source machine learning!

Course Curriculum

Chapter 1: Introduction

Lecture 1: FAQs and Resource Downloads

Chapter 2: Introduction to Hugging Face

Lecture 1: What is Hugging Face?

Lecture 2: Creating a Hugging Face Account and Token

Lecture 3: Understanding Models and Spaces

Lecture 4: Datasets on Hugging Face Overview

Lecture 5: Hugging Face Setup, Online Options, and Versions

Chapter 3: HuggingFace – NLP with Transformers Library on Hugging Face

Lecture 1: Introduction to Transformers Library

Lecture 2: Hugging Face Basics

Lecture 3: NLP Pipelines

Lecture 4: Understanding how LLMs Work

Lecture 5: LLMs – Text Tokenization and Probabilities

Lecture 6: LLMs – Text Generation

Chapter 4: Image Models – Diffusers Library with Hugging Face

Lecture 1: Introduction to Image Models Section

Lecture 2: Understanding Image Data

Lecture 3: Image Data with Python

Lecture 4: Understanding Text to Image Models

Lecture 5: Diffusion Models with Python

Lecture 6: AutoPipeines with Diffusers

Chapter 5: Video Models

Lecture 1: Understanding Video Models

Lecture 2: Stable Video Diffusion

Lecture 3: I2VGen-XL

Chapter 6: Audio Models on Hugging Face

Lecture 1: Introduction to Audio

Lecture 2: Understanding Audio Data

Lecture 3: Audio Data with Python

Lecture 4: Audio Classification

Lecture 5: Audio Transcription

Lecture 6: Audio Generation

Chapter 7: Building Machine Learning GUIs with Gradio

Lecture 1: Introduction to Gradio Section

Lecture 2: Gradio Components

Lecture 3: Gradio Components – Part Two

Lecture 4: Gradio – Multiple Components and Layouts

Lecture 5: Gradio – Components and Layouts – Part Two

Lecture 6: Gradio – Component Interactions

Lecture 7: Gradio – Interactions Part Two

Lecture 8: Gradio – Machine Learning GUI Example – ML Integration

Lecture 9: Gradio – Pipelines Integration

Lecture 10: Gradio – Errors, Warnings, and Info

Lecture 11: Gradio – Styling and Themes

Chapter 8: APPENDIX: Git

Lecture 1: Understanding Git vs. GitHub

Lecture 2: Installing Git

Lecture 3: GitHub Profile

Lecture 4: Configuring Git (Note: GitHub Specific)

Lecture 5: Creating and Cloning Repositories

Lecture 6: Private Repositories

Lecture 7: Git Usage and Workflow

Lecture 8: Git add and Commit

Lecture 9: Git Remote Branch and Push

Lecture 10: Git Log

Lecture 11: Git Fetch and Pull

Instructors

Jose Portilla
Head of Data Science at Pierian Training
Pierian Training
Data Science and Machine Learning Training

Rating Distribution

1 stars: 2 votes
2 stars: 2 votes
3 stars: 10 votes
4 stars: 69 votes
5 stars: 123 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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