Self-Attention Courses and Certifications

Generative AI & LLMs: Foundations to Hands-on Development

400 ratings at Udemy

Generative AI, Large Language Models(LLMs), Prompt Engineering, Fine-Tune AI Model,GPT models, Hugging Face,Google Colab

• Udemy
• 2 hours 18 minutes
• On-Demand
• Paid Course

Stanford Seminar 2022 - Self Attention and Non-Parametric Transformers

Explore self-attention and Non-Parametric Transformers with PhD students discussing Transformer origins, intuitions, and recent advancements in neural network architecture.

• YouTube
• 1 hour 6 minutes
• On-Demand
• Free Video

Generative AI Language Modeling with Transformers

140 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
• On-Demand
• Paid Course

Generative AI: Working with Large Language Models

1798 ratings at LinkedIn Learning

Explore a user-friendly approach to working with transformers and large language models for natural language processing.

• LinkedIn Learning
• 1 hour 9 minutes
• On-Demand
• Free Trial Available

Alberta Machine Intelligence Institute

Introduction to Generative AI: Concepts and Techniques

Discover Generative AI fundamentals, from Transformer architecture to practical LLM implementation, while mastering responsible AI practices and ethical considerations.

• Coursera
• 17 hours 6 minutes
• On-Demand
• Paid Course

Attention Mechanisms and Transformer Models Course

Master attention mechanisms and transformer architectures powering modern GenAI systems like GPT and BERT through hands-on implementation and real-world demos.

• Coursera
• 4 hours 29 minutes
• On-Demand
• Paid Course

Packt

Generative AI, LLMs, and Advanced Applications with Python

Master generative AI and LLMs through hands-on Python applications, exploring VAEs, GANs, Transformers, GPT architecture, OpenAI APIs, RAG systems, and building advanced AI-driven chatbots.

• Coursera
• 9 hours 21 minutes
• On-Demand
• Paid Course

Board Infinity

Transformers in Action: A Practical Approach to NLP and AI

Master Transformer architectures for NLP through hands-on coding with BERT, GPT, and T5. Build real-world applications using Hugging Face tools for classification, summarization, and deployment.

• Coursera
• 22 hours 32 minutes
• On-Demand
• Paid Course

Packt

Sequence Modeling, Transformers, and Transfer Learning

Master sequence modeling, transformers, and transfer learning to build powerful NLP models using RNNs, attention mechanisms, and fine-tuning techniques for real-world applications.

• Coursera
• 9 hours 48 minutes
• On-Demand
• Paid Course

Generative AI: Introduction to Large Language Models

850 ratings at LinkedIn Learning

Gain a foundational knowledge of how large language models and other Generative AI models work.

• LinkedIn Learning
• 1 hour 36 minutes
• On-Demand
• Free Trial Available

Yannic Kilcher

Linformer - Self-Attention with Linear Complexity

Detailed explanation of the Linformer model, which reduces self-attention complexity in transformers from O(n²) to O(n), improving efficiency while maintaining performance in NLP tasks.

• YouTube
• 50 minutes
• On-Demand
• Free Video

Yannic Kilcher

Synthesizer - Rethinking Self-Attention in Transformer Models

Explores alternative attention mechanisms in Transformer models, proposing the Synthesizer model that learns synthetic attention weights without token-token interactions, showing competitive performance across various NLP tasks.

• YouTube
• 48 minutes
• On-Demand
• Free Video

Alfredo Canziani

Self - Cross, Hard - Soft Attention and the Transformer

Explore attention mechanisms and Transformer architecture, covering self/cross and hard/soft attention, key-value stores, and practical implementation in PyTorch for advanced deep learning applications.

• YouTube
• 1 hour 12 minutes
• On-Demand
• Free Video

Discover AI

The Inner Workings of Large Language Models - Visualizing Self-Attention Mechanisms

Dive into the mechanics of Large Language Models, exploring self-attention mechanisms, architectural designs, and performance optimization through clear visualizations and practical examples.

• YouTube
• 35 minutes
• On-Demand
• Free Video

Andrej Karpathy

Let's Build GPT - From Scratch, in Code, Spelled Out

Comprehensive tutorial on building a GPT model from scratch, covering key concepts like self-attention, multi-headed attention, and transformer architecture. Includes practical coding examples and insights into modern language models.

• YouTube
• 1 hour 56 minutes
• On-Demand
• Free Video