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  • Transformer Models

Transformer Models Courses

Transformer models courses can help you learn natural language processing, attention mechanisms, and model architecture design. You can build skills in fine-tuning models for specific tasks, understanding tokenization, and optimizing performance metrics. Many courses introduce tools like TensorFlow and PyTorch, that support implementing and experimenting with transformer models in various applications, such as text generation, translation, and sentiment analysis.

Popular Transformer Models Courses and Certifications


  • I

    IBM

    Deep Learning with Keras and Tensorflow

    Skills you'll gain: Keras (Neural Network Library), Convolutional Neural Networks, Reinforcement Learning, Deep Learning, Model Optimization, Autoencoders, Generative AI, Unsupervised Learning, Tensorflow, Generative Adversarial Networks (GANs), Generative Model Architectures, Transfer Learning, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Model Training, Time Series Analysis and Forecasting

    ★ 4.4 (1K) · Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Advanced Machine Learning Techniques

    Skills you'll gain: Model Optimization, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Machine Learning Software, Model Training, Data Preprocessing, Data Processing, Hugging Face, Classification Algorithms

    Intermediate · Course · 1 - 3 Months

  • G

    Google Cloud

    Transformer Models and BERT Model - Italiano

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

    Advanced · Course · 1 - 4 Weeks

  • C

    Coursera

    Building and Optimizing AI Models

    Skills you'll gain: Model Optimization, Feature Engineering, Model Training, Applied Machine Learning, Machine Learning Methods, Fine-tuning, Machine Learning Algorithms, Deep Learning, Supervised Learning, Transfer Learning, Model Evaluation, Data Structures, Predictive Modeling, Artificial Intelligence and Machine Learning (AI/ML), Algorithms, Machine Learning, Artificial Neural Networks, Convolutional Neural Networks, Network Architecture, Performance Testing

    Intermediate · Course · 1 - 3 Months

  • I

    IBM

    Generative AI Engineering and Fine-Tuning Transformers

    Skills you'll gain: Generative AI, Fine-tuning, Large Language Modeling, Generative Model Architectures, Model Optimization, Prompt Engineering, Model Training, PyTorch (Machine Learning Library)

    ★ 4.5 (114) · Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Fine-tune Multimodal Models with Transfer Learning

    Skills you'll gain: Model Optimization, Fine-tuning, Multimodal Prompts, Generative Model Architectures, PyTorch (Machine Learning Library), Model Training, Data Processing, Tensorflow, Knowledge Transfer, Keras (Neural Network Library), Deep Learning, Artificial Neural Networks

    Intermediate · Course · 1 - 4 Weeks

  • D

    DeepLearning.AI

    Generative AI with Large Language Models

    Skills you'll gain: Generative AI, Large Language Modeling, Generative Model Architectures, Fine-tuning, LLM Application, Model Training, Model Deployment, Python Programming, Scalability, Model Optimization, Machine Learning, Model Evaluation, Reinforcement Learning

    ★ 4.8 (3.6K) · Intermediate · Course · 1 - 4 Weeks

    Category: Bestseller
    Bestseller
  • P

    Packt

    Sequence Modeling, Transformers, and Transfer Learning

    Skills you'll gain: Recurrent Neural Networks (RNNs), Fine-tuning, Transfer Learning, Large Language Modeling, Natural Language Processing, Generative AI, Deep Learning, Artificial Neural Networks, Generative Model Architectures, Model Training, Computer Vision

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Preparing Multimodal Data: Vision, Audio, and NLP Pipelines

    Skills you'll gain: Data Preprocessing, Model Evaluation, Fine-tuning, Hugging Face, Data Processing, Data Transformation, Model Training, Feature Engineering, Data Pipelines, Image Analysis, Image Quality, Artificial Intelligence and Machine Learning (AI/ML), Natural Language Processing, Machine Learning Methods, Data Architecture, Machine Learning Software, Computer Vision, Digital Signal Processing, Artificial Neural Networks, Machine Learning Algorithms

    Intermediate · Course · 3 - 6 Months

  • U

    University of Colorado Boulder

    Magnetics for Power Electronic Converters

    Skills you'll gain: Power Electronics, Electrical Engineering, electromagnetics, Electronic Components, Electronic Systems, Electronics Engineering, Electronics, Mathematical Modeling, Technical Design, Design Specifications, Engineering Analysis, Engineering Design Process, Engineering Calculations

    ★ 4.8 (165) · Intermediate · Course · 1 - 4 Weeks

  • B

    Board Infinity

    Transformers in Action: A Practical Approach to NLP and AI

    Skills you'll gain: Hugging Face, Model Evaluation, Model Optimization, Embeddings, Transfer Learning, LLM Application, Model Training, Recurrent Neural Networks (RNNs), Generative Model Architectures, Fine-tuning, Model Deployment, Data Preprocessing

    Intermediate · Course · 1 - 4 Weeks

  • W

    Whizlabs

    NVIDIA: Fundamentals of NLP and Transformers

    Skills you'll gain: Natural Language Processing, Recurrent Neural Networks (RNNs), Generative AI, Large Language Modeling, Token Optimization, Embeddings, Generative Model Architectures, Data Preprocessing, Data Pipelines, Artificial Neural Networks, Unstructured Data, Machine Learning Methods, Machine Learning, Model Evaluation

    ★ 4.8 (8) · Intermediate · Course · 1 - 4 Weeks

1…456…287

In summary, here are 10 of our most popular transformer models courses

  • Deep Learning with Keras and Tensorflow: IBM
  • Advanced Machine Learning Techniques: Coursera
  • Transformer Models and BERT Model - Italiano: Google Cloud
  • Building and Optimizing AI Models : Coursera
  • Generative AI Engineering and Fine-Tuning Transformers: IBM
  • Fine-tune Multimodal Models with Transfer Learning: Coursera
  • Generative AI with Large Language Models: DeepLearning.AI
  • Sequence Modeling, Transformers, and Transfer Learning: Packt
  • Preparing Multimodal Data: Vision, Audio, and NLP Pipelines: Coursera
  • Magnetics for Power Electronic Converters: University of Colorado Boulder

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