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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


  • C

    Coursera

    Transformers Unleashed: Master the Architecture of Modern AI

    Skills you'll gain: Model Optimization, MLOps (Machine Learning Operations), Systems Architecture, Model Evaluation, Feature Engineering, AI Integrations, Image Analysis, Model Training, Model Deployment, Extract, Transform, Load, Systems Design, Artificial Intelligence and Machine Learning (AI/ML), Tensorflow, Apache Spark, Natural Language Processing, Pandas (Python Package), Cloud Deployment, Machine Learning, Computer Vision, Computational Thinking

    Intermediate · Professional Certificate · 3 - 6 Months

  • B

    Board Infinity

    Transformers and NLP: Fine-Tuning Models with Hugging Face

    Skills you'll gain: Model Evaluation, Fine-tuning, Model Optimization, Hugging Face, Model Deployment, Model Training, Transfer Learning, Natural Language Processing, MLOps (Machine Learning Operations), Large Language Modeling, Performance Tuning, Generative Model Architectures, Application Deployment, Data Preprocessing, Data Pipelines, Embeddings, Version Control, Git (Version Control System)

    Advanced · Course · 1 - 4 Weeks

  • E

    Edureka

    Advanced Deep Learning Architectures

    Skills you'll gain: Generative AI, Generative Model Architectures, Generative Adversarial Networks (GANs), Computer Vision, Image Analysis, Model Evaluation, Convolutional Neural Networks, Autoencoders, Model Optimization, Vision Transformer (ViT), Artificial Neural Networks, Model Deployment, Model Training, Deep Learning, Recurrent Neural Networks (RNNs), Embeddings, Machine Learning Methods, PyTorch (Machine Learning Library), AI Enablement, Artificial Intelligence

    Advanced · Specialization · 1 - 3 Months

  • 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

  • E

    Edureka

    Mastering NLP: Tokenization, Sentiment Analysis & Neural MT

    Skills you'll gain: Natural Language Processing, Large Language Modeling, Fine-tuning, Model Evaluation, Recurrent Neural Networks (RNNs), Data Ethics, Responsible AI, Text Mining, Transfer Learning, PyTorch (Machine Learning Library), Artificial Neural Networks, Data Preprocessing, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Classification Algorithms, Embeddings, Data Processing, Machine Learning, Data Analysis, Data Cleansing

    ★ 3.3 (7) · Intermediate · Specialization · 3 - 6 Months

  • C

    Coursera

    Building Vision and NLP Workflows with TensorFlow pipelines

    Skills you'll gain: Model Evaluation, Image Analysis, Computer Vision, Vision Transformer (ViT), Tensorflow, Keras (Neural Network Library), AI Workflows, Model Training, Embeddings, Deep Learning, Large Language Modeling, Natural Language Processing, Model Deployment, Model Optimization, Data Pipelines, Risk Modeling, Data Preprocessing

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Deep Learning Engineering

    Skills you'll gain: Model Deployment, Fine-tuning, PyTorch (Machine Learning Library), Model Evaluation, Model Training, Vision Transformer (ViT), Model Optimization, Transfer Learning, MLOps (Machine Learning Operations), Natural Language Processing, Debugging, Containerization, Kubernetes, Docker (Software), Distributed Computing, Performance Tuning, Tensorflow, Deep Learning, Cloud Computing, Data Pipelines

    Advanced · Specialization · 1 - 3 Months

  • P

    Pearson

    Introduction to Transformer Models for NLP: Unit 1

    Skills you'll gain: Fine-tuning, PyTorch (Machine Learning Library), Transfer Learning, Natural Language Processing, Large Language Modeling, LLM Application, Generative Model Architectures

    Intermediate · Course · 1 - 4 Weeks

  • E

    Edureka

    Generative AI for Automation

    Skills you'll gain: Prompt Patterns, Generative AI Agents, AI Orchestration, AI Workflows, Business Process Automation, Make.com, Large Language Modeling, Automation, ChatGPT, Agentic systems, Generative Model Architectures, Agentic Workflows, LangChain, Responsible AI, AI Security, Workflow Management, OpenAI, Process Optimization, Application Programming Interface (API), Decision Support Systems

    ★ 4.3 (21) · Beginner · Specialization · 1 - 3 Months

  • M

    MathWorks

    Electric Motor Modeling and Control

    Skills you'll gain: Control Systems, Machine Controls, Three-Phase, Power Electronics, Simulation and Simulation Software, Model Based Systems Engineering, Electrical Engineering, Automation Engineering, Simulations, Mathematical Modeling, Electrical Power, Performance Tuning, Performance Testing, System Configuration

    Beginner · Course · 1 - 4 Weeks

  • M

    MathWorks

    Power Conversion for Electronic Devices

    Skills you'll gain: Power Electronics, Electrical Systems, Electronic Systems, Electrical Engineering, Electric Power Systems, Three-Phase, Electronics Engineering, Electronics, Control Systems, Model Based Systems Engineering, Simulation and Simulation Software, Simulations, Hardware Design, System Design and Implementation, Design Specifications

    Beginner · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Transformer Models and BERT Model - 日本語版

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

    Advanced · Course · 1 - 4 Weeks

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

  • Transformers Unleashed: Master the Architecture of Modern AI: Coursera
  • Transformers and NLP: Fine-Tuning Models with Hugging Face: Board Infinity
  • Advanced Deep Learning Architectures: Edureka
  • Building and Optimizing AI Models : Coursera
  • Mastering NLP: Tokenization, Sentiment Analysis & Neural MT: Edureka
  • Building Vision and NLP Workflows with TensorFlow pipelines: Coursera
  • Deep Learning Engineering: Coursera
  • Introduction to Transformer Models for NLP: Unit 1: Pearson
  • Generative AI for Automation: Edureka
  • Electric Motor Modeling and Control: MathWorks

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