Sequence Models Courses and Certifications

Sequence Models & The Dawn of Attention

Discover why RNNs and LSTMs fail with long sequences, then master attention mechanisms by building QKV paradigms and reusable PyTorch modules from scratch.

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

Natural Language Processing with Sequence Models

1180 ratings at Coursera

Train neural networks for sentiment analysis, text generation, named entity recognition, and question comparison using advanced NLP techniques like GLoVe embeddings, GRUs, LSTMs, and Siamese models.

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

Sequence Models

31231 ratings at Coursera

Master sequence models for NLP tasks, including RNNs, LSTMs, and transformers. Apply these techniques to speech recognition, language modeling, and machine translation.

• Coursera
• 1 day 13 hours 7 minutes
• On-Demand
• Paid Course

Yannic Kilcher

Not All Memories Are Created Equal - Learning to Forget by Expiring

Explore Facebook AI's Expire-Span, a Transformer XL variant that dynamically assigns expiration dates to signals, enabling efficient handling of long sequences while maintaining performance and reducing resource consumption.

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

Machine Learning on Google Cloud: Sequence and Text Models

47 ratings at Udemy

Advanced Machine Learning on Google Cloud: Sequence Models & NLP (Natural Language Processing) on Google Cloud

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

Microcredential

Exploring the Transformer Architecture

Master Transformer architecture by building attention mechanisms from scratch, then fine-tune state-of-the-art NLP models using Hugging Face for real-world deployment.

• CodeSignal
• 14 hours
• On-Demand
• Free Certificate
• 4 courses

Microcredential

Natural Language Processing

6179 ratings at Coursera

Explore cutting-edge NLP techniques to analyze text, build language models, and create AI applications. Gain hands-on experience in sentiment analysis, machine translation, and chatbot development.

• Coursera
• 12 weeks, 10 hours a week
• On-Demand
• Paid Course
• 4 courses

Customising your models with TensorFlow 2

196 ratings at Coursera

Deepen TensorFlow skills to create custom deep learning models. Learn advanced APIs, complex architectures, and flexible data workflows. Develop a neural translation model in the capstone project.

• Coursera
• 1 day 3 hours 18 minutes
• On-Demand
• Paid Course

Introduction to Vertex Forecasting and Time Series in Practice

Learn to build forecasting solutions using Google Cloud, covering sequence models, time series analysis, and end-to-end workflows with Vertex AI. Gain practical skills through retail use cases and hands-on model development.

• Coursera
• 15 hours 7 minutes
• On-Demand
• Paid Course

Graham Neubig

CMU Multilingual NLP - Machine Translation-Sequence-to-Sequence Models

Explore conditional language modeling, sequence-to-sequence models, generation methods, attention mechanisms, and transformers in multilingual natural language processing.

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

International Centre for Theoretical Sciences

Sequence Alignment - Hidden Markov Models, Category Theory and All That Jazz by Soumyashant Nayak

Explore sequence alignment methods, from traditional algorithms to modern pseudo-alignment techniques, with insights on hidden Markov models and applications in RNA-Seq data analysis and evolutionary genetics.

• YouTube
• 1 hour 4 minutes
• On-Demand
• Free Video

Harvard CMSA

What Learning Algorithm is In-Context Learning? - Understanding Transformer Models and Neural Sequence Learning

Delve into the algorithmic foundations of in-context learning in transformers, exploring how neural networks implement implicit learning mechanisms through activation patterns and predictive modeling.

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

Discover AI

StreamingLLM: Enabling Infinite Sequence Length in Large Language Models

Dive into StreamingLLM's framework for extending LLM attention windows to handle infinite sequences, featuring practical implementation insights and code analysis.

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

Recurrent Neural Networks

143 ratings at LinkedIn Learning

Learn the basics of recurrent neural networks to get up and running with RNN quickly.

• LinkedIn Learning
• 1 hour 7 minutes
• On-Demand
• Free Trial Available

Valence Labs

Structured State-Space Sequence Models for De Novo Drug Design

Explore the potential of Structured State-Space Sequence (S4) models in advancing chemical language modeling for de novo drug design, including bioactive compound identification and natural product design.

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