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BERT Courses Online

Learn about BERT (Bidirectional Encoder Representations from Transformers) for natural language processing. Understand how to implement and fine-tune BERT models.

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Explore the BERT Course Catalog

  • G

    Google Cloud

    Transformer Models and BERT Model

    Skills you'll gain: Large Language Modeling, Natural Language Processing, Generative Model Architectures, Artificial Neural Networks

    4.1
    Rating, 4.1 out of 5 stars
    ·
    121 reviews

    Advanced · Course · 1 - 4 Weeks

  • C

    Coursera Project Network

    Fine Tune BERT for Text Classification with TensorFlow

    Skills you'll gain: Tensorflow, Keras (Neural Network Library), Natural Language Processing, Deep Learning, Data Pipelines

    4.6
    Rating, 4.6 out of 5 stars
    ·
    211 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: New
    New
    Status: Free Trial
    Free Trial
    P

    Pearson

    Introduction to Transformer Models for NLP

    Skills you'll gain: Prompt Engineering, PyTorch (Machine Learning Library), Natural Language Processing, MLOps (Machine Learning Operations), Large Language Modeling, Computer Vision, Image Analysis, Generative AI, Generative Model Architectures, Application Deployment, Artificial Neural Networks, Text Mining, Deep Learning, Cloud Hosting, Semantic Web, Restful API

    Intermediate · Specialization · 1 - 4 Weeks

  • C

    Coursera Project Network

    Sentiment Analysis with Deep Learning using BERT

    Skills you'll gain: Text Mining, Data Cleansing, PyTorch (Machine Learning Library), Data Manipulation, Data Processing, Performance Tuning, Deep Learning, Natural Language Processing, Machine Learning

    4.4
    Rating, 4.4 out of 5 stars
    ·
    397 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    I

    IBM

    Generative AI Engineering with LLMs

    Skills you'll gain: Prompt Engineering, Large Language Modeling, Generative AI, LLM Application, PyTorch (Machine Learning Library), Generative AI Agents, Natural Language Processing, Data Pipelines, Artificial Intelligence, Text Mining, Data Ethics, Deep Learning, Performance Tuning, Applied Machine Learning, Data Processing, Artificial Neural Networks, Reinforcement Learning, Document Management, Database Management Systems, Data Storage Technologies

    4.5
    Rating, 4.5 out of 5 stars
    ·
    720 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    IBM Generative AI Engineering

    Skills you'll gain: Exploratory Data Analysis, Prompt Engineering, Data Wrangling, LangChain, Prompt Patterns, Large Language Modeling, Generative AI, Unsupervised Learning, PyTorch (Machine Learning Library), Keras (Neural Network Library), Data Transformation, Flask (Web Framework), Supervised Learning, Data Analysis, Data Cleansing, Data Manipulation, Unit Testing, Responsible AI, LLM Application, Data Import/Export

    4.6
    Rating, 4.6 out of 5 stars
    ·
    94K reviews

    Beginner · Professional Certificate · 3 - 6 Months

What brings you to Coursera today?

  • Status: Preview
    Preview
    G

    Google Cloud

    Transformer Models and BERT Model - 한국어

    Skills you'll gain: Natural Language Processing, Large Language Modeling, Generative Model Architectures, Text Mining

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Generative AI and LLMs: Architecture and Data Preparation

    Skills you'll gain: Large Language Modeling, Generative AI, Data Pipelines, PyTorch (Machine Learning Library), Natural Language Processing, Text Mining, Prompt Engineering, Artificial Intelligence, Deep Learning, Data Processing

    4.6
    Rating, 4.6 out of 5 stars
    ·
    316 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    E

    Edureka

    Mastering NLP: Tokenization, Sentiment Analysis & Neural MT

    Skills you'll gain: Natural Language Processing, Large Language Modeling, Data Ethics, Responsible AI, Text Mining, PyTorch (Machine Learning Library), Artificial Neural Networks, Tensorflow, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Data Processing, Artificial Intelligence, Scikit Learn (Machine Learning Library), Time Series Analysis and Forecasting, Machine Learning, Data Analysis, Unstructured Data, Data Cleansing, Applied Machine Learning, Unified Modeling Language

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Gen AI Foundational Models for NLP & Language Understanding

    Skills you'll gain: PyTorch (Machine Learning Library), Large Language Modeling, Generative AI, Natural Language Processing, Data Ethics, Text Mining, Artificial Neural Networks, Deep Learning, Feature Engineering, Statistical Methods

    4.5
    Rating, 4.5 out of 5 stars
    ·
    161 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    G

    Google Cloud

    Transformer Models and BERT Model - 简体中文

    Skills you'll gain: Natural Language Processing, Large Language Modeling, Generative Model Architectures

    Advanced · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    G

    Google Cloud

    Transformer Models and BERT Model - Bahasa Indonesia

    Skills you'll gain: Natural Language Processing, Large Language Modeling, Generative Model Architectures, LLM Application, Deep Learning

    Advanced · Course · 1 - 4 Weeks

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In summary, here are 10 of our most popular bert courses

  • Transformer Models and BERT Model: Google Cloud
  • Fine Tune BERT for Text Classification with TensorFlow: Coursera Project Network
  • Introduction to Transformer Models for NLP: Pearson
  • Sentiment Analysis with Deep Learning using BERT: Coursera Project Network
  • Generative AI Engineering with LLMs: IBM
  • IBM Generative AI Engineering: IBM
  • Transformer Models and BERT Model - 한국어: Google Cloud
  • Generative AI and LLMs: Architecture and Data Preparation: IBM
  • Mastering NLP: Tokenization, Sentiment Analysis & Neural MT: Edureka
  • Gen AI Foundational Models for NLP & Language Understanding: IBM

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