Transformers Courses and Certifications

Bringing Transformers to Life: Training & Inference

Master Transformer architecture by building complete models, implementing training pipelines with synthetic datasets, and exploring autoregressive generation with beam search strategies.

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

LLMs Mastery: Complete Guide to Transformers & Generative AI

8076 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

Data Science: Transformers for Natural Language Processing

3025 ratings at Udemy

ChatGPT, GPT-4, BERT, Deep Learning, Machine Learning & NLP with Hugging Face, Attention in Python, Tensorflow, PyTorch

• Udemy
• 19 hours 6 minutes
• On-Demand
• Paid Course

Math Behind LLMs, Transformers and Modern Computer Vision

1074 ratings at Udemy

From Multi Head Attention and Embeddings to Transformers, Vision Transformers, Modern Image Segmentation + LLMs and SAM

• Udemy
• 6 hours 57 minutes
• On-Demand
• Paid Course

Fine Tuning LLM with Hugging Face Transformers for NLP

726 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 25 minutes
• On-Demand
• Paid Course

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)

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

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
• 3 hours
• On-Demand
• Free Trial Available

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

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

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