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
Google Cloud
Skills you'll gain: Large Language Modeling, Natural Language Processing, Generative Model Architectures, Transfer Learning, Embeddings
Skills you'll gain: Generative Model Architectures, Generative AI, OpenAI, Large Language Modeling, ChatGPT, Vision Transformer (ViT), Prompt Engineering, Artificial Intelligence, Artificial Neural Networks, Transfer Learning, Deep Learning, Natural Language Processing
Skills you'll gain: Vision Transformer (ViT), Prompt Engineering, PyTorch (Machine Learning Library), Model Deployment, Transfer Learning, Hugging Face, Natural Language Processing, MLOps (Machine Learning Operations), Cloud Deployment, Large Language Modeling, Computer Vision, Generative AI, Image Analysis, Application Deployment, Generative Model Architectures, Embeddings, Data Preprocessing, Model Evaluation
DeepLearning.AI
Skills you'll gain: Recurrent Neural Networks (RNNs), Hugging Face, Natural Language Processing, Artificial Neural Networks, Embeddings, Deep Learning, Transfer Learning
Skills you'll gain: PyTorch (Machine Learning Library), Transfer Learning, Model Evaluation, Vision Transformer (ViT), Keras (Neural Network Library), Deep Learning, Convolutional Neural Networks, Reinforcement Learning, Autoencoders, Unsupervised Learning, Tensorflow, Artificial Neural Networks, Recurrent Neural Networks (RNNs), Generative Adversarial Networks (GANs), Statistical Methods, Logistic Regression, Image Analysis, Data Preprocessing, Applied Machine Learning, Model Deployment
Skills you'll gain: Generative Adversarial Networks (GANs), Generative Model Architectures, Retrieval-Augmented Generation, Generative AI, Autoencoders, ChatGPT, OpenAI, Deep Learning, Model Evaluation, Vision Transformer (ViT), Artificial Intelligence and Machine Learning (AI/ML), Tensorflow, Large Language Modeling, Prompt Engineering, PyTorch (Machine Learning Library), Artificial Neural Networks, Image Analysis, Computer Vision, Unsupervised Learning, Natural Language Processing
What brings you to Coursera today?
Skills you'll gain: Generative AI, Large Language Modeling, PyTorch (Machine Learning Library), Transfer Learning, Embeddings, Natural Language Processing, Text Mining, Applied Machine Learning, Performance Tuning
Duke University
Skills you'll gain: Prompt Engineering, Databricks, Large Language Modeling, Model Deployment, LLM Application, Generative AI, Performance Analysis, Retrieval-Augmented Generation, Generative Model Architectures, Apache Airflow, Workflow Management, Hugging Face, Amazon Bedrock, Vector Databases, Data Lakes, ChatGPT, Extract, Transform, Load, OpenAI, Multimodal Prompts, MLOps (Machine Learning Operations)
Fractal Analytics
Skills you'll gain: Model Evaluation, Generative AI, Data Preprocessing, Transfer Learning, PyTorch (Machine Learning Library), Machine Learning, Convolutional Neural Networks, Image Quality
Coursera
Skills you'll gain: Model Deployment, PyTorch (Machine Learning Library), Transfer Learning, Natural Language Processing, Debugging, Containerization, Kubernetes, Docker (Software), MLOps (Machine Learning Operations), Distributed Computing, Performance Tuning, Applied Machine Learning, Deep Learning, Vision Transformer (ViT), Tensorflow, Cloud Computing, Model Evaluation, Artificial Neural Networks, Data Pipelines, Computer Vision
Skills you'll gain: Failure Analysis, Deep Learning, Applied Machine Learning, Data Pipelines, Performance Metric
Skills you'll gain: PyTorch (Machine Learning Library), Tensorflow, Model Deployment, Knowledge Transfer, Keras (Neural Network Library), Deep Learning, Artificial Neural Networks
In summary, here are 10 of our most popular transformer models courses
- Transformer Models and BERT Model:Â Google Cloud
- Attention Mechanisms and Transformer Models Course:Â Simplilearn
- Introduction to Transformer Models for NLP:Â Pearson
- Sequence Models:Â DeepLearning.AI
- IBM Deep Learning with PyTorch, Keras and Tensorflow:Â IBM
- Generative AI Models and Transformer Networks Certification:Â Simplilearn
- Generative AI Language Modeling with Transformers:Â IBM
- Large Language Model Operations (LLMOps):Â Duke University
- How to Build a Diffusion Model - An Introduction:Â Fractal Analytics
- Deep Learning Engineering:Â Coursera
