Transformer Architecture Courses and Certifications

Google DeepMind: Discover The Transformer Architecture

In this Google DeepMind course you will discover the mechanisms of the transformer architecture.

• DataCamp
• 4 hours
• Self-Paced
• Free Trial Available

Deconstructing the Transformer Architecture

Master the Transformer architecture by building Multi-Head Attention, feed-forward networks, positional encodings, and complete encoder/decoder layers as reusable PyTorch modules from scratch.

• CodeSignal
• 4 hours
• Self-Paced
• Free Certificate

Credential

Exploring the Transformer Architecture

Master Transformer architecture by building attention mechanisms from scratch, then fine-tune state-of-the-art NLP models using Hugging Face for real-world deployment.

• CodeSignal
• 14 hours
• Self-Paced
• Free Certificate
• 4 courses

Evolution of the Transformer Architecture Used in LLMs (2017-2025) - Full Course

Explore the evolution of Transformer architecture in LLMs from 2017-2025, covering positional encoding, attention mechanisms, normalization methods, and activation functions with hands-on examples.

• freeCodeCamp
• 2 hours 50 minutes
• Self-Paced
• Free Video

Lennart Svensson

Introduction to Transformer Architecture - Complete Video Series

1 rating

Dive into transformer architecture fundamentals through self-attention, encoders, decoders, and applications in NLP tasks like translation and text generation.

• YouTube
• 1 hour 40 minutes
• Self-Paced
• Free Video

Donato Capitella

The Transformer Architecture: Understanding Self-Attention and Positional Encoding

Delve into the revolutionary Transformer architecture, exploring self-attention mechanisms, positional encoding, and key components that revolutionized natural language processing and machine learning.

• YouTube
• 15 minutes
• Self-Paced
• Free Video

Introduction to LLMs in Python

Learn the nuts and bolts of LLMs and the revolutionary transformer architecture they are based on!

• DataCamp
• 3 hours
• Self-Paced
• Free Trial Available

CodeEmporium

Deep Dive into the Transformer Encoder Architecture

Detailed exploration of transformer encoder architecture, covering embeddings, positional encodings, self-attention mechanisms, and key components for effective natural language processing.

• YouTube
• 21 minutes
• Self-Paced
• Free Video

Intro to Large Language Models (LLMs)

3650 ratings at Udemy

Transform Your LLMs Knowledge From an Interested Field Observer to a Well-equipped NLP Developer

• Udemy
• 2 hours 37 minutes
• Self-Paced
• Paid Course

Generative AI Language Modeling with Transformers

147 ratings at Coursera

Learn to apply transformer-based models for NLP tasks, covering encoder-decoder architectures, attention mechanisms, and implementations of BERT and GPT models using PyTorch for text classification and translation.

• Coursera
• 9 hours 18 minutes
• Self-Paced
• Paid Course

Edureka

Transformer Architectures and Multimodal Models

Master transformer architectures from RNNs to multimodal systems, covering attention mechanisms, Vision Transformers, and scaling strategies for real-world NLP and AI applications.

• Coursera
• 11 hours 12 minutes
• Self-Paced
• Paid Course

Coursera

Build & Evaluate NLP Transformer Pipelines

Master transformer-based NLP pipelines from tokenization to deployment, implementing ROUGE metrics and human-in-the-loop evaluation for production-ready sentiment analysis and content categorization solutions.

• Coursera
• 2 hours 55 minutes
• Self-Paced
• Paid Course

Transformer Models and BERT Model

1 rating

Explore Transformer architecture and BERT model, learning key components like self-attention and applications in text classification, question answering, and natural language inference.

• Google Skills
• 30 minutes
• Self-Paced
• Free Certificate

LLM Inference Optimization

1 rating at Udacity

Master advanced techniques to optimize large language model inference performance, including quantization, speculative decoding, and model parallelism for faster deployment.

• Udacity
• 11 hours
• Self-Paced
• Paid Course

Shaping the Future of AI from the History of Transformer Architectures - Stanford CS25

Explore the evolution of Transformer architectures and AI development with OpenAI researcher Hyung Won Chung, focusing on historical motivations and future projections in the field.

• YouTube
• 37 minutes
• Self-Paced
• Free Video