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 Washington
Skills you'll gain: Model Evaluation, Classification Algorithms, Regression Analysis, Applied Machine Learning, Feature Engineering, Machine Learning Methods, Machine Learning, Image Analysis, Machine Learning Algorithms, AI Personalization, Unsupervised Learning, Predictive Modeling, Classification And Regression Tree (CART), Supervised Learning, Bayesian Statistics, Statistical Machine Learning, Model Training, Logistic Regression, Statistical Modeling, Data Mining
★ 4.6 (16K) · Intermediate · Specialization · 3 - 6 Months

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

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

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

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, Generative AI, Artificial Neural Networks, Machine Learning, Natural Language Processing, Deep Learning, Predictive Modeling, Classification Algorithms, Time Series Analysis and Forecasting, Network Architecture
Beginner · Specialization · 1 - 3 Months

Skills you'll gain: Embeddings, Natural Language Processing, Keras (Neural Network Library), Generative AI, Convolutional Neural Networks, Transfer Learning, Recurrent Neural Networks (RNNs), Model Evaluation, Generative Model Architectures, Image Analysis, Model Training, Artificial Neural Networks, Text Mining, Computer Vision, Model Optimization, Data Preprocessing, Tensorflow, Deep Learning, Applied Machine Learning, AI Workflows
★ 5 (10) · Beginner · Specialization · 1 - 3 Months

Skills you'll gain: Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Transfer Learning, Natural Language Processing, Model Optimization, Deep Learning, PyTorch (Machine Learning Library), Large Language Modeling, Fine-tuning, Keras (Neural Network Library), Artificial Neural Networks, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Image Analysis, Tensorflow, Artificial Intelligence, Machine Learning Methods, Computer Vision, Model Training
Advanced · Course · 1 - 3 Months

Skills you'll gain: Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Model Optimization, Artificial Intelligence, Applied Machine Learning, Python Programming, Model Training, Machine Learning Methods, Fine-tuning, Model Evaluation
Intermediate · Course · 1 - 4 Weeks

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

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

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: 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