PyTorch courses can help you learn neural network design, model training, and deep learning techniques. You can build skills in data preprocessing, hyperparameter tuning, and implementing convolutional and recurrent networks. Many courses introduce tools like TensorBoard for visualization and Jupyter Notebooks for interactive coding, showcasing how these skills are applied in projects involving image recognition, natural language processing, and other areas of artificial intelligence (AI).

Skills you'll gain: PyTorch (Machine Learning Library), Model Training, Convolutional Neural Networks, Transfer Learning, Image Analysis, Predictive Modeling, Deep Learning, Radiology, Medical Imaging, Computer Vision, Machine Learning, Data Preprocessing, Data Transformation
★ 4.5 (340) · Intermediate · Guided Project · Less Than 2 Hours

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: Prompt Engineering, Prompt Patterns, Unit Testing, Large Language Modeling, LangChain, Retrieval-Augmented Generation, Data Wrangling, Responsible AI, Exploratory Data Analysis, Unsupervised Learning, Model Evaluation, Generative Model Architectures, PyTorch (Machine Learning Library), Generative AI, LLM Application, Keras (Neural Network Library), Supervised Learning, Vector Databases, Fine-tuning, Data Import/Export
★ 4.7 (101K) · Beginner · Professional Certificate · 3 - 6 Months

Skills you'll gain: Prompt Engineering, Large Language Modeling, Retrieval-Augmented Generation, Generative AI, PyTorch (Machine Learning Library), Prompt Patterns, Generative AI Agents, Fine-tuning, Vector Databases, LLM Application, Generative Model Architectures, Generative Adversarial Networks (GANs), Embeddings, Natural Language Processing, Tool Calling, Hugging Face, Model Optimization, Reinforcement Learning, Transfer Learning, Data Pipelines
★ 4.6 (1.1K) · Intermediate · Specialization · 3 - 6 Months

DeepLearning.AI
Skills you'll gain: Hugging Face, Model Optimization, Fine-tuning, Transfer Learning, Model Training, Embeddings, Data Preprocessing
★ 5 (19) · Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Large Language Modeling, Generative AI, Generative Model Architectures, LLM Application, Generative Adversarial Networks (GANs), Hugging Face, Data Pipelines, PyTorch (Machine Learning Library), Natural Language Processing, Data Preprocessing, Artificial Intelligence, Model Training, Recurrent Neural Networks (RNNs), Responsible AI
★ 4.7 (469) · Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Anomaly Detection, PyTorch (Machine Learning Library), Forecasting, Time Series Analysis and Forecasting, Recurrent Neural Networks (RNNs), Predictive Modeling, Deep Learning, Autoencoders, Predictive Analytics, Unsupervised Learning, Applied Machine Learning, Model Training, Generative Model Architectures, Convolutional Neural Networks, Exploratory Data Analysis, Model Optimization, Artificial Neural Networks, Data Preprocessing, Model Evaluation, Data Architecture
Intermediate · Course · 1 - 3 Months

Skills you'll gain: PyTorch (Machine Learning Library), Transfer Learning, Fine-tuning, Model Training, Convolutional Neural Networks, Deep Learning, Image Analysis, Computer Vision, Model Evaluation, Data Preprocessing, Classification Algorithms, Data Transformation
★ 3.9 (60) · Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: Embeddings, PyTorch (Machine Learning Library), Feature Engineering, Artificial Neural Networks, Image Analysis, Deep Learning, Convolutional Neural Networks, Network Model, Model Training, Computer Vision
★ 4.7 (49) · Advanced · Guided Project · Less Than 2 Hours

Skills you'll gain: Generative Adversarial Networks (GANs), Generative AI, PyTorch (Machine Learning Library), Generative Model Architectures, Deep Learning, Convolutional Neural Networks, Model Training, Python Programming
★ 4.5 (100) · Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: PyTorch (Machine Learning Library), Model Evaluation, Convolutional Neural Networks, Transfer Learning, Image Analysis, Model Training, Deep Learning, Python Programming
★ 4.4 (232) · Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Model Evaluation, Fine-tuning, PyTorch (Machine Learning Library), Recurrent Neural Networks (RNNs), Model Training, Transfer Learning, Generative AI, Large Language Modeling, Natural Language Processing, Hugging Face, Generative Model Architectures, Data Preprocessing, Model Optimization, Data Processing, Deep Learning, Artificial Neural Networks, Machine Learning, Machine Learning Algorithms
Advanced · Course · 1 - 4 Weeks