Course Information
Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
9 Hour(s) 21 Minute(s)
Language
English
Taught by
Jose Portilla, Pierian Training
Rating
2 views
Course Overview
Discover the power of open-source machine learning with Hugging Face! Explore transformers, diffusers, and more!
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 Content
- 8 section(s)
- 49 lecture(s)
- Section 1 Introduction
- Section 2 Introduction to Hugging Face
- Section 3 HuggingFace - NLP with Transformers Library on Hugging Face
- Section 4 Image Models - Diffusers Library with Hugging Face
- Section 5 Video Models
- Section 6 Audio Models on Hugging Face
- Section 7 Building Machine Learning GUIs with Gradio
- Section 8 APPENDIX: Git
What You’ll 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.
Skills covered in this course
Reviews
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nnature travels
clear concise course..Loved the gradle part..thank you
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MMonaco_jessica@hotmail.com Jessica Di Monaco
The course was well explained and easy to follow. I left with a solid understanding of how Hugging Face works, especially in practical applications. I particularly enjoyed the section on the GUI, it was intuitive and clearly demonstrated how to interact with models visually. Overall, a great learning experience.
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MMood Extrude SRL
This was a very nice course that provided all the essential information needed to get started with Hugging Face. The teacher is genuinely knowledgeable and presented the material in an effective manner. Their patience in walking through demonstrations and explanations was helpful. For anyone needing a comprehensive, yet manageable, guide to this topic, this course is a great resource. I definitely recommend it.
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GGG Heitmann
The explanations and walkthroughs were great. I loved the sections showing recipes for running various kinds of huggingface model inferences, but I had hoped there would be discussion of training too, and how to do that - even if it was only a pointer to the next course to take. The section 8 on Git was helpful, but also a bit strange in how it was tacked on, and incomplete (it ends with a tomorrow-we'll-learn spiel, but there is no more). I'd suggest just adding a quick note to say that the git section is just a bonus appendix to help with the rest of the course and isn't complete - that way it's more clear that it's a feature, not a bug. Very glad I took the course - I feel really empowered to try things on Huggingface now! :)
