Transformers
31 courses3.4M learners10 providers
Deep dive into the transformer architecture that revolutionized NLP and beyond, covering self-attention, BERT, GPT, and fine-tuning techniques.
AllSelf-AttentionBERTGPTFine-TuningHugging Face
Editor's Picks
Top Rated in Transformers
Stanford Online
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Natural Language Processing with Deep Learning
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fast.ai
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Practical Deep Learning for Coders Part 2: Deep Learning Foundations to Stable Diffusion
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NLP Course
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All Transformers Courses
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NLP Course
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Coursera
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Generative AI with Large Language Models
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Stanford Online
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Natural Language Processing with Deep Learning
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DeepLearning.AI
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ChatGPT Prompt Engineering for Developers
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Building Systems with the ChatGPT API
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$49/mo
intermediate
Natural Language Processing Specialization
Coursera
4 monthsintermediate
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Udemy
$12.99
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NLP - Natural Language Processing with Transformers in Python
Udemy
12 hoursintermediate
$12.99
Udemy
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The Complete ChatGPT Guide: Learn Midjourney, ChatGPT & More
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28 hoursbeginner
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Udemy
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intermediate
Generative AI, LLMs - OpenAI API, LangChain, Hugging Face
Udemy
16 hoursintermediate
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DeepLearning.AI
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Finetuning Large Language Models
DeepLearning.AI
1 hourintermediate
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DeepLearning.AI
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Pair Programming with a Large Language Model
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1 hourbeginner
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fast.ai
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Practical Deep Learning for Coders Part 2: Deep Learning Foundations to Stable Diffusion
fast.ai
14 weeksadvanced
Free
Hugging Face
Free
intermediate
Diffusion Models Course
Hugging Face
Self-pacedintermediate
Free
Hugging Face
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intermediate
Audio Course
Hugging Face
Self-pacedintermediate
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Udacity
$249/mo
intermediate
Natural Language Processing Nanodegree
Udacity
3 monthsintermediate
$249/mo
DataCamp
$25/mo
beginner
Working with the OpenAI API
DataCamp
4 hoursbeginner
$25/mo
Coursera
$49/mo
beginner
Prompt Engineering Specialization
Coursera
3 monthsbeginner
$49/mo
DeepLearning.AI
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Open Source Models with Hugging Face
DeepLearning.AI
1 hourbeginner
Free
DeepLearning.AI
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intermediate
Quantization Fundamentals with Hugging Face
DeepLearning.AI
1 hourintermediate
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Hugging Face
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Building AI Agents with Hugging Face
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LinkedIn Learning
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Prompt Engineering: How to Talk to the AIs
LinkedIn Learning
2 hoursbeginner
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Coursera
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Generative AI: Prompt Engineering Basics
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1 weekbeginner
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Microsoft Learn
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Microsoft Copilot Foundations
Microsoft Learn
4 hoursbeginner
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Udacity
$249/mo
intermediate
Generative AI Nanodegree
Udacity
3 monthsintermediate
$249/mo
Udemy
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Complete Generative AI Course With Langchain and Huggingface
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20 hoursintermediate
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Udemy
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OpenAI Python API Bootcamp: Build AI Apps Fast
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10 hoursbeginner
$12.99
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Modern Natural Language Processing in Python
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Microsoft Learn
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Azure OpenAI Service Fundamentals
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Hugging Face
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Open-Source AI Cookbook
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LLMOps
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Introduction to LLMs in Python
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Frequently Asked Questions
What is a transformer model?
A transformer is a neural network architecture based on self-attention mechanisms. Introduced in 2017, it processes all input tokens simultaneously, enabling superior performance on language and vision tasks.
Why are transformers so important?
Transformers power virtually all modern AI breakthroughs including GPT, BERT, DALL-E, and more. Their parallel processing and attention mechanism enable unprecedented scale and capability.
What's the difference between BERT and GPT?
BERT is bidirectional and excels at understanding tasks like classification and Q&A. GPT is autoregressive and excels at text generation. They represent different approaches to transformer pre-training.
How do I get started with Hugging Face?
Start with the Hugging Face course (free). It covers using pre-trained models, tokenizers, and the Transformers library for tasks like text classification, NER, and question answering.