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.

Skills you'll gain: PyTorch (Machine Learning Library), Fine-tuning, Convolutional Neural Networks, Deep Learning, Natural Language Processing, Embeddings, Hugging Face, Computer Vision, Supervised Learning, Classification Algorithms, Data Preprocessing, Predictive Modeling, Machine Learning, Data Processing, Artificial Intelligence and Machine Learning (AI/ML), Statistical Methods, Probability & Statistics, Machine Learning Algorithms
★ 4.4 (2.1K) · Advanced · Specialization · 3 - 6 Months

Coursera
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

Edureka
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 (29) · Beginner · Specialization · 1 - 3 Months

Skills you'll gain: PyTorch (Machine Learning Library), Model Optimization, Keras (Neural Network Library), Deep Learning, Convolutional Neural Networks, Reinforcement Learning, Transfer Learning, Autoencoders, Generative AI, Unsupervised Learning, Tensorflow, Artificial Neural Networks, Recurrent Neural Networks (RNNs), Generative Adversarial Networks (GANs), Generative Model Architectures, Model Training, Logistic Regression, Image Analysis, Applied Machine Learning, Regression Analysis
★ 4.5 (4.3K) · Intermediate · Professional Certificate · 3 - 6 Months

Skills you'll gain: Natural Language Processing, Large Language Modeling, Fine-tuning, Model Evaluation, Token Optimization, Recurrent Neural Networks (RNNs), Data Ethics, Responsible AI, Text Mining, PyTorch (Machine Learning Library), Artificial Neural Networks, Data Preprocessing, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Classification Algorithms, Applied Machine Learning, Data Processing, Machine Learning, Data Analysis, Data Cleansing
★ 3.1 (8) · Intermediate · Specialization · 3 - 6 Months

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 (118) · Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Vision Transformer (ViT), Generative AI, Generative Model Architectures, AI powered creativity, Multimodal Prompts, ChatGPT, Hugging Face, Responsible AI, Generative AI Agents, AI Orchestration, OpenAI, Large Language Modeling, Embeddings, Prompt Engineering, AI Workflows, Computer Vision, Image Analysis, Artificial Intelligence and Machine Learning (AI/ML), Model Training, Model Evaluation
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Fine-tuning, Natural Language Processing, Hugging Face, ChatGPT, Large Language Modeling, Transfer Learning, Token Optimization, Model Training, Gemini, Generative AI, AI Workflows, Embeddings, Data Preprocessing, Artificial Intelligence and Machine Learning (AI/ML), Model Evaluation, Architectural Engineering
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Prompt Patterns, Large Language Modeling, Natural Language Processing, Generative AI, LLM Application, Prompt Engineering, Text Mining, Retrieval-Augmented Generation, Unstructured Data, Embeddings, Hugging Face, Unsupervised Learning, Applied Machine Learning, OpenAI API, Machine Learning Methods, Python Programming, Statistical Machine Learning, Analysis, Data Visualization, Network Model
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Generative Adversarial Networks (GANs), Generative Model Architectures, Retrieval-Augmented Generation, Generative AI, Autoencoders, ChatGPT, Model Training, 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
★ 3.5 (14) · Beginner · Specialization · 1 - 3 Months

Skills you'll gain: Artificial Neural Networks, Deep Learning, Generative Model Architectures, Large Language Modeling, Machine Learning Methods, Computer Vision, Data Science, Artificial Intelligence, Applied Machine Learning, NumPy, Pandas (Python Package), Python Programming, Natural Language Processing, Supervised Learning, Feature Engineering, Machine Learning, Predictive Modeling, Exploratory Data Analysis, Data Analysis, Data Visualization
Beginner · Course · 1 - 4 Weeks

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, PyTorch (Machine Learning Library), Large Language Modeling, AI Enablement, Artificial Intelligence
Advanced · Specialization · 1 - 3 Months