BERT Courses and Certifications

Transformers and BERT Implementation

Learn to implement Transformers and BERT models, fine-tune pretrained models, and create custom question-answering systems using Hugging Face's powerful NLP tools.

• YouTube
• 1 hour 30 minutes
• On-Demand
• Free Video

Institute for Advanced Study

Emergent Linguistic Structure in Deep Contextual Neural Word Representations - Chris Manning

Explore emergent linguistic structures in deep neural word representations with Stanford's Chris Manning, examining language models, attention mechanisms, and vector space analysis.

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

Paul G. Allen School

Natural Language Processing - Sam Bowman (NYU)

Explore recent progress in general-purpose language understanding models through GLUE and SuperGLUE benchmarks. Discuss evaluation techniques and future directions in NLP research.

• YouTube
• 1 hour 5 minutes
• On-Demand
• Free Video

Implement Named Entity Recognition with BERT

In this course, you'll learn about the state-of-the-art transformer technique called BERT, how to tag respective news domain entities to classify information, and how to get relevant insights about the geo-political news using deep learning library.

• Pluralsight
• 39 minutes
• On-Demand
• Free Trial Available

Abhishek Thakur

Building an Entity Extraction Model Using BERT

Learn to build an entity extraction model using BERT, transformers library, and PyTorch. Covers dataset preparation, configuration, training, and prediction for creating custom entity extraction solutions.

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

Abhishek Thakur

Sentencepiece Tokenizer With Offsets for T5, ALBERT, XLM-RoBERTa and Many More

Implementación práctica del tokenizador Sentencepiece con offsets para modelos de transformers, enfocado en sistemas de preguntas y respuestas utilizando ALBERT.

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

Abhishek Thakur

Text Extraction From a Corpus Using BERT - Question Answering

Learn to extract text from tweets using BERT for sentiment analysis. Hands-on tutorial covers data preparation, model implementation, and evaluation for Kaggle competition.

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

Abhishek Thakur

Training Sentiment Model Using BERT and Serving It With Flask API

Learn to build and deploy a high-accuracy sentiment analysis model using BERT and Flask API, covering data preparation, model training, and serving the model for real-world applications.

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

Yannic Kilcher

BERT- Pre-training of Deep Bidirectional Transformers for Language Understanding

Explore BERT's innovative approach to language representation, its bidirectional pre-training method, and its state-of-the-art performance across various natural language processing tasks.

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

Yannic Kilcher

TAPAS - Weakly Supervised Table Parsing via Pre-training

Explore TAPAS, an innovative approach to table parsing and question answering using pre-training and weak supervision, outperforming traditional semantic parsing models with a simpler architecture.

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

Transformer Models and BERT Model

This course introduces you to the Transformer architecture and the Bidirectional Encoder Representations from Transformers (BERT) model.

• Pluralsight
• 24 minutes
• On-Demand
• Free Trial Available

Google Cloud Tech

Transformer Models and BERT Model: Overview

Explore Transformer architecture and BERT model, understanding key components and applications in text classification, question answering, and natural language inference.

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

Data Science Courses

Deep Learning: BERT and GPT Models - Lecture 11

Dive into the evolution and architecture of transformer models, exploring BERT, GPT series, and T5 to understand their impact on modern natural language processing.

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

Discover AI

Pre-Training BERT from Scratch - Building, Fine-Tuning, and Running Inference with KERAS NLP

Master BERT model pre-training, fine-tuning, and inference using TF2 and KERAS NLP through hands-on implementation of transformers for domain-specific tasks.

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

Discover AI

Pre-Training BERT from Scratch for Domain-Specific Knowledge Using PyTorch - Part 51

Master BERT model pre-training from scratch using PyTorch, focusing on domain-specific data. Build custom tokenizers, design architecture, and implement masked language modeling for specialized neural information retrieval systems.

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