Learn Transformers
12 expert-rated courses covering Transformers. Compared by rating, price, difficulty, and job relevance so you can pick the right one.
Top Transformers Courses
AI Engineer Professional Certificate Course
Advanced AI engineering course focused on deep learning architectures, transformers, AI agents, and MLOps workflows.
LLM Course
Comprehensive free course on NLP and LLMs using Transformers, Datasets, Tokenizers, Accelerate, and the Hugging Face Hub.
Become an AI Researcher
Research-oriented introduction spanning foundational math, PyTorch fundamentals, neural networks, and transformer architecture concepts.
Transformer-Based NLP Applications
Build transformer-based NLP applications including text classification, named entity recognition, and question answering.
Advanced Deep Learning with PyTorch
Master advanced deep learning techniques using PyTorch, the preferred framework for research and production ML. Build sophisticated models including attention mechanisms, transformers, and GANs. Ideal for experienced practitioners wanting to advance their deep learning skills.
Introduction to Large Language Models
Explore the foundations of large language models and how they revolutionize natural language processing. Understand transformer architecture, training methodologies, and practical applications of LLMs.
Generative AI and Large Language Models
Comprehensive introduction to generative AI technologies and large language models, covering architecture, training, and deployment. Learn to build and deploy LLM applications at scale.
Deep Learning, NLP, and AI Applications
Advanced course covering RNNs, CNNs, transfer learning, NLP with Transformers, and large language model fundamentals.
Data Science: Transformers for Natural Language Processing
ChatGPT, GPT-4, BERT, Deep Learning, Machine Learning & NLP with Hugging Face, Attention in Python, TensorFlow, PyTorch.
Deep Learning & Modern AI Architectures
Master modern deep learning architectures including RNNs, CNNs, transfer learning, and Vision Transformers for practical applications.
Generative AI with Large Language Models
Deep dive into generative AI from DeepLearning.AI and AWS covering transformer architecture, training, fine-tuning, and deploying large language models.
Deep Learning Specialization
Andrew Ng's comprehensive deep learning specialization covering neural networks, CNNs, RNNs, transformers, and generative models.