Transformers Courses and Certifications

Mastering Generative AI: Language Models with Transformers

Build job-ready skills in NLP based applications using GPT and BERT in just 2 weeks! Add sought-after skills employers are looking for to your resume and power up your AI career.

• edX
• 2 weeks, 3-5 hours a week
• On-Demand
• Free Online Course (Audit)

AI Mastery: LLMs Explained with Math (Transformers, Attention Mechanisms & More)

Unlock the mathematical foundations of transformers, attention mechanisms, and embeddings to master LLMs like GPT and BERT through hands-on implementation and vector mathematics.

• Zero To Mastery
• 5 hours
• On-Demand
• Paid Course

LLMs Mastery: Complete Guide to Transformers & Generative AI

6647 ratings at Udemy

Generative AI, r1, LLMs, ChatGPT, GPT4, o1, Llama3, Decoders, T5, BERT, LoRA, FSDP, 4bit, Machine Learning, Data Science

• Udemy
• 7 hours 30 minutes
• On-Demand
• Paid Course

Mathematics Behind Large Language Models and Transformers

541 ratings at Udemy

Deep Dive into Transformer Mathematics: From Tokenization to Multi-Head Attention to Masked Language Modeling & Beyond

• Udemy
• 4 hours 34 minutes
• On-Demand
• Paid Course

2025 Fine Tuning LLM with Hugging Face Transformers for NLP

535 ratings at Udemy

Master Transformer models like Phi2, LLAMA; BERT variants, and distillation for advanced NLP applications on custom data

• Udemy
• 16 hours 31 minutes
• On-Demand
• Paid Course

Whizlabs

NVIDIA: Fundamentals of NLP and Transformers

Master NLP fundamentals and transformer architectures through hands-on practice with tokenization, word embeddings, sequence models, and self-attention mechanisms for real-world applications.

• Coursera
• 4 hours 15 minutes
• On-Demand
• Free Online Course (Audit)

Stanford Seminar 2022 - Transformers in Vision: Tackling Problems in Computer Vision

Explore how transformers revolutionize computer vision with Lucas Beyer, covering innovative applications and advancements in representation learning for visual AI tasks.

• YouTube
• 1 hour 9 minutes
• On-Demand
• Free Video

Explore transformers, the core of GPT models, and apply them to text generation and sentiment analysis using Hugging Face libraries. Learn about their history and environmental impact.

• Codecademy
• 2 hours
• On-Demand
• Free Trial Available

Stanford Seminar - Transformers United: Neuroscience-Inspired Artificial Intelligence

Explore neuroscience-inspired AI with insights on attention mechanisms and sparse distributed memory, bridging the gap between transformers and brain function in this Stanford seminar.

• YouTube
• 1 hour 22 minutes
• On-Demand
• Free Video

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

Overview of Transformers - Stanford CS25: Lecture 1

Comprehensive introduction to NLP, Transformers, and AI agents, covering history, functionality, recent breakthroughs, applications, and challenges in the field of artificial intelligence.

• YouTube
• 1 hour 17 minutes
• On-Demand
• Free Video

Transformers that Transform Well Enough to Support Near-Shallow Architectures - Stanford CS25 Lecture

Explore precision language models for efficient training and hardware-based control systems. Learn about non-random parameter initializations and applications in resource-limited environments.

• YouTube
• 1 hour 20 minutes
• On-Demand
• Free Video

Yannic Kilcher

Big Bird- Transformers for Longer Sequences

Explanation of BigBird's sparse attention mechanism for transformers, enabling longer sequence processing. Covers theoretical foundations, architecture details, and experimental results in NLP and genomics applications.

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

Alexander Amini

Recurrent Neural Networks, Transformers, and Attention - MIT 6.S191 Lecture 2

Dive into recurrent neural networks, transformers, and attention mechanisms with MIT's Introduction to Deep Learning lecture by Ava Amini.

• YouTube
• 1 hour 2 minutes
• On-Demand
• Free Video

AI Engineer

Going Beyond RAG - Extended Mind Transformers

Discover Extended Mind Transformers, a revolutionary approach that surpasses RAG by enabling models to dynamically select and attend to relevant information during generation.

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