Deep learning courses can help you learn neural networks, convolutional networks, and recurrent networks, along with their applications in image recognition and natural language processing. You can build skills in model training, hyperparameter tuning, and performance evaluation, which are crucial for developing effective AI solutions. Many courses introduce tools like TensorFlow and PyTorch, allowing you to implement algorithms and optimize models, making your learning experience hands-on and relevant to current industry practices.

University of Colorado Boulder
Skills you'll gain: Large Language Modeling, Model Optimization, Recurrent Neural Networks (RNNs), Natural Language Processing, Prompt Engineering, Model Training, LLM Application, Artificial Neural Networks, Transfer Learning, Deep Learning, Embeddings, Fine-tuning, Generative Model Architectures
★ 4.9 (8) · Intermediate · Course · 1 - 4 Weeks

University of Colorado Boulder
Skills you'll gain: Recurrent Neural Networks (RNNs), Generative AI, Fine-tuning, Vision Transformer (ViT), Machine Learning Methods, Model Optimization, Model Training, Large Language Modeling, Embeddings, Network Architecture
★ 4.6 (16) · Intermediate · Course · 1 - 3 Months

DeepLearning.AI
Skills you'll gain: Model Training, Machine Learning Algorithms, Transfer Learning, Machine Learning, Applied Machine Learning, Data Ethics, Decision Tree Learning, Model Evaluation, Tensorflow, Responsible AI, Supervised Learning, Deep Learning, Classification Algorithms, Random Forest Algorithm, Model Optimization, Artificial Neural Networks, Logistic Regression, Regression Analysis
★ 4.9 (8.8K) · Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Recurrent Neural Networks (RNNs), Transfer Learning, Model Optimization, Tensorflow, Artificial Neural Networks, Embeddings, Keras (Neural Network Library), Deep Learning, Time Series Analysis and Forecasting, Fine-tuning, Image Analysis, Classification Algorithms, Convolutional Neural Networks, Natural Language Processing, Computer Vision, Model Training, Forecasting, Supervised Learning, Machine Learning, Logistic Regression
★ 4.7 (6) · Intermediate · Specialization · 1 - 3 Months

Board Infinity
Skills you'll gain: Feature Engineering, Model Evaluation, Model Deployment, Fine-tuning, Data Preprocessing, Model Training, Deep Learning, Machine Learning Methods, Model Optimization, Scikit Learn (Machine Learning Library), PyTorch (Machine Learning Library), Scalability, Hugging Face, Docker (Software), Supervised Learning, Machine Learning Algorithms, MLOps (Machine Learning Operations), Applied Machine Learning, Software Development, Machine Learning
Intermediate · Specialization · 1 - 3 Months

Skills you'll gain: Prompt Engineering, Prompt Patterns, Unit Testing, Large Language Modeling, LangChain, Generative AI, Retrieval-Augmented Generation, Data Wrangling, Responsible AI, Exploratory Data Analysis, Unsupervised Learning, Model Evaluation, Generative Model Architectures, PyTorch (Machine Learning Library), 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: Model Deployment, PyTorch (Machine Learning Library), Model Optimization, Recurrent Neural Networks (RNNs), Tensorflow, Artificial Intelligence, Model Training, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Application Deployment, Text Mining, Artificial Neural Networks, Machine Learning, Natural Language Processing, Deep Learning, Predictive Modeling, Classification Algorithms, Time Series Analysis and Forecasting, Network Architecture, Data Science
Beginner · Specialization · 1 - 3 Months

Skills you'll gain: Data Preprocessing, Recurrent Neural Networks (RNNs), Model Training, Data Transformation, Financial Forecasting, Model Evaluation, Statistical Visualization, Time Series Analysis and Forecasting, Exploratory Data Analysis, Deep Learning, Predictive Modeling, Forecasting, Predictive Analytics, Artificial Neural Networks, Network Model, Project Implementation
★ 4.5 (13) · Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Unsupervised Learning, Supervised Learning, Model Evaluation, Regression Analysis, Scikit Learn (Machine Learning Library), Machine Learning Methods, Applied Machine Learning, Model Training, Predictive Modeling, Machine Learning Algorithms, Statistical Methods, Machine Learning, Dimensionality Reduction, Python Programming, Logistic Regression, Model Optimization, Classification Algorithms
★ 4.7 (18K) · Intermediate · Course · 1 - 3 Months

Whizlabs
Skills you'll gain: Deep Learning, Convolutional Neural Networks, Model Training, Image Analysis, Transfer Learning, Artificial Neural Networks, Model Evaluation, Applied Machine Learning, Computer Vision, Artificial Intelligence and Machine Learning (AI/ML), Fine-tuning, Machine Learning Methods, Model Optimization, Network Architecture
Intermediate · Course · 1 - 4 Weeks

University of Colorado Boulder
Skills you'll gain: Autoencoders, Convolutional Neural Networks, Generative Adversarial Networks (GANs), Generative Model Architectures, Model Deployment, Model Training, Unsupervised Learning
★ 4.5 (26) · Intermediate · Course · 1 - 4 Weeks

Duke University
Skills you'll gain: PyTorch (Machine Learning Library), Logistic Regression, Machine Learning Methods, Transfer Learning, Reinforcement Learning, Convolutional Neural Networks, Deep Learning, Image Analysis, Applied Machine Learning, Model Training, Natural Language Processing, Machine Learning, Model Optimization, Artificial Neural Networks, Supervised Learning, Unsupervised Learning, Python Programming, Computer Vision, Medical Imaging
★ 4.7 (3.8K) · Intermediate · Course · 1 - 3 Months