Transformers Courses and Certifications

Simons Institute

Emergence and Scaling Laws for SGD Learning and Learning Compositional Functions with Transformers

Explore the theoretical foundations of deep learning, focusing on SGD scaling laws and transformers' ability to learn compositional functions with Princeton's Jason Lee.

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

Yacine Mahdid

What is the Transformers' Context Window in Deep Learning and How to Make it Long

Explore transformers' context windows in deep learning, why larger windows matter, and techniques to extend them including positional encoding fixes, flash attention, sparse attention, and low-rank decomposition.

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

Centre International de Rencontres Mathématiques

The Mean-Field Dynamics of Transformers

Explore mathematical frameworks interpreting Transformer attention as interacting particle systems, connecting to Wasserstein flows and clustering phenomena in deep architectures.

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

Electrical Control & Protection Systems part 2

1037 ratings at Udemy

This course introduces electrical control & protection systems which are a critical part of any electrical substation

• Udemy
• 2 hours 29 minutes
• On-Demand
• Paid Course

RNNs and Transformers

This course covers multiple RNN architectures and discusses design patterns for those models. You'll also learn about transformer architectures.

• Udacity
• 3 hours
• On-Demand
• Paid Course

Open Source LLMOps Solutions

26 ratings at Coursera

Gain hands-on experience deploying open-source LLMs, from understanding fundamentals to fine-tuning models and building AI applications using a code-first approach.

• Coursera
• 1 day 12 hours 14 minutes
• On-Demand
• Paid Course

Harnessing Transformers with Hugging Face

Master Transformer architectures using Hugging Face ecosystem, exploring BERT, GPT-2, and T5 models through hands-on projects in sentiment analysis, text generation, and question answering.

• CodeSignal
• 3 hours
• On-Demand
• Free Certificate

LLM Concepts Deep Dive: Conceptual Mastery for Developers

284 ratings at Udemy

Master transformers, embeddings, and RAG. Learn how modern AI works and use vector databases for real-world solutions.

• Udemy
• 2 hours 51 minutes
• On-Demand
• Paid Course

Natural Language Processing: NLP With Transformers in Python

2582 ratings at Udemy

Learn next-generation NLP with transformers for sentiment analysis, Q&A, similarity search, NER, and more

• Udemy
• 11 hours 31 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

Amazon;  Amazon Web Services;  Facebook Microcredential

Deep Learning

14 reviews

Master foundational deep learning topics, from neural networks to GANs. Build projects in PyTorch and explore cutting-edge AI applications in image processing, natural language, and generative models.

• Udacity
• 61 hours
• On-Demand
• Paid Course

Introduction to Large Language Models

839 ratings at LinkedIn Learning

Learn about large language models—what they are, what they can do, and how they work.

• LinkedIn Learning
• 1 hour 5 minutes
• On-Demand
• Free Trial Available

Generative AI Engineering and Fine-Tuning Transformers

107 ratings at Coursera

Explore transformers, fine-tuning, and PEFT techniques for LLMs. Gain hands-on experience with Hugging Face and PyTorch to develop job-ready generative AI engineering skills.

• Coursera
• 8 hours 2 minutes
• On-Demand
• Paid Course

Electrical Systems: Panel Boards, Frequency Drives, and Transformers

1420 ratings at LinkedIn Learning

Learn all about the key building blocks of electrical systems: panel boards, frequency drives, and transformers.

• LinkedIn Learning
• 29 minutes
• On-Demand
• Free Trial Available

Introduction to Large Language Models (LLMs)

Dive into the architecture, training, and applications of Large Language Models, from fundamental NLP concepts to advanced topics like RLHF, parameter-efficient tuning, and ethical considerations.

• Swayam
• 12 weeks
• On-Demand
• Free Online Course