Transformer Models Courses and Certifications

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

Introduction to Transformer Models for NLP: Unit 1

Explore transformer architectures, attention mechanisms, and transfer learning with BERT and GPT models for advanced NLP applications using PyTorch.

• Coursera
• 3 hours 25 minutes
• On-Demand
• Paid Course

Microcredential

Introduction to Transformer Models for NLP

Master transformer architectures like BERT, GPT, and T5 through hands-on coding exercises. Build attention mechanisms, apply transfer learning, and fine-tune models for real-world NLP applications.

• Coursera
• 4 weeks, 5 hours a week
• On-Demand
• Paid Course
• 3 courses

Introduction to Transformer Models for NLP: Unit 3

Explore advanced transformer models including T5 and Vision Transformers, fine-tune for NLP tasks, build image captioning systems, and deploy models using MLOps and FastAPI.

• Coursera
• 4 hours 52 minutes
• On-Demand
• Paid Course

Explore finetuning techniques for transformer models, including GPU optimization and Hugging Face integration, to enhance deep learning capabilities and model performance.

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

James Briggs

How to Build Custom Q&A Transformer Models in Python

Learn to fine-tune pre-trained transformer models for question-answering using HuggingFace and PyTorch. Gain practical skills in NLP and unlock the power of transformers for custom Q&A applications.

• YouTube
• 1 hour 10 minutes
• On-Demand
• Free Video

Databricks

Conversational AI with Transformer Models - Building Blocks and Optimization Techniques

Explore building conversational AI agents using transformer models, covering advantages over RNN/LSTM, knowledge distillation, and model compression techniques for efficient production deployment.

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

Serrano.Academy

Transformer Models: Understanding Their Architecture and Functionality - Part 3

Demystifying Transformer models with visuals and examples, covering key concepts like attention mechanism, tokenization, embeddings, and fine-tuning for various NLP tasks.

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

Toronto Machine Learning Series (TMLS)

Efficient Inference of Extremely Large Transformer Models

Explore techniques for optimizing large transformer models, including compression, efficient attention, and parallelism for faster, smaller, and cost-effective inference.

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

GAIA

Do Chemformers Dream of Organic Matter? Evaluating Transformer Models for Synthesis Prediction

Explore transformer models for synthesis prediction in drug discovery, including challenges, comparisons, and performance in product and retrosynthesis prediction for pharmaceutical applications.

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

Trelis Research

Distillation of Transformer Models - Tutorial and Code Walk-through

Learn advanced techniques for distilling transformer models, including pruning, fine-tuning, and performance evaluation. Gain practical insights through code walkthroughs and real-world examples.

• YouTube
• 1 hour 21 minutes
• On-Demand
• Free Video

Center for Language & Speech Processing(CLSP), JHU

Dialogue Systems - Natural Language Processing with Transformer-based Models II

Explore Transformer-based dialogue systems and NLP applications, covering LLMs, machine translation, speech translation, data-to-text generation, and chatbot development fundamentals.

• YouTube
• 3 hours 6 minutes
• On-Demand
• Free Video

Center for Language & Speech Processing(CLSP), JHU

Machine Translation - Natural Language Processing with Transformer-based Models - Day 5

Explore Transformer-based models for machine translation and NLP through comprehensive slides from JSALT 2025, covering advanced techniques and practical applications.

• YouTube
• 3 hours 11 minutes
• On-Demand
• Free Video

International Centre for Theoretical Sciences

Emergence of In-Context Learning in Small Transformer Models

Discover how small transformer models develop in-context learning capabilities through emergent mechanisms in this theoretical biophysics presentation.

• YouTube
• 1 hour 1 minute
• On-Demand
• Free Video

Simons Institute

More Accurate Behavioral Predictions with Hybrid Bayesian-Transformer Models

Explore how Behaviorally-Informed Meta-Learning combines Bayesian and Transformer approaches to better model human concept learning and behavioral predictions.

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