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.

Northeastern University
Skills you'll gain: Convolutional Neural Networks, Computer Vision, Recurrent Neural Networks (RNNs), Generative Model Architectures, Generative Adversarial Networks (GANs), Deep Learning, Artificial Neural Networks, Autoencoders, Keras (Neural Network Library), Model Training
Intermediate · Course · 1 - 3 Months

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, Artificial Intelligence
★ 4.5 (27) · Intermediate · Course · 1 - 4 Weeks

DeepLearning.AI
Skills you'll gain: Model Evaluation, Deep Learning, Clinical Trials, Data Preprocessing, Risk Modeling, Data Analysis, Convolutional Neural Networks, Decision Tree Learning, Predictive Modeling, Applied Machine Learning, Feature Engineering, Patient Treatment, Image Analysis, Machine Learning Methods, Machine Learning, Random Forest Algorithm, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Medical Imaging, Natural Language Processing
★ 4.7 (2.5K) · Intermediate · Specialization · 1 - 3 Months

DeepLearning.AI
Skills you'll gain: Convolutional Neural Networks, Computer Vision, Image Analysis, Transfer Learning, Deep Learning, Fine-tuning, Artificial Neural Networks, Tensorflow, Applied Machine Learning, Data Preprocessing, Network Architecture
★ 4.9 (43K) · Intermediate · Course · 1 - 4 Weeks

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, Applied Machine Learning, Application Deployment, Software Development, Machine Learning
Intermediate · Specialization · 1 - 3 Months

Skills you'll gain: Fine-tuning, Generative Model Architectures, Deep Learning, Autoencoders, Generative AI, Model Optimization, Artificial Neural Networks, Generative Adversarial Networks (GANs), Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Model Training, Network Architecture, Model Evaluation, Anomaly Detection, Computer Vision
Advanced · Course · 1 - 4 Weeks

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

Skills you'll gain: Convolutional Neural Networks, Deep Learning, Generative AI, Transfer Learning, Computer Vision, PyTorch (Machine Learning Library), Artificial Neural Networks, Tensorflow, Machine Learning Methods, Classification Algorithms, Model Training, Model Optimization, Machine Learning, Data Processing, Linear Algebra
★ 4.4 (14) · Intermediate · Course · 1 - 4 Weeks

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

Skills you'll gain: Computer Vision, Deep Learning, Image Analysis, Convolutional Neural Networks, Exploratory Data Analysis, Feature Engineering, Tensorflow, Model Training, Predictive Modeling, Transfer Learning, Applied Machine Learning, Machine Learning Methods, Application Development, Predictive Analytics, Model Evaluation, Machine Learning, Network Model, Analytics, Network Architecture, Design
Beginner · Specialization · 1 - 3 Months

Skills you'll gain: Model Deployment, PyTorch (Machine Learning Library), Model Optimization, Recurrent Neural Networks (RNNs), Tensorflow, Artificial Intelligence, Applied Machine Learning, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Machine Learning, Natural Language Processing, Predictive Modeling, Classification Algorithms, Time Series Analysis and Forecasting, Network Architecture, Model Training, Data Science, Model Evaluation, Data Preprocessing
Beginner · Specialization · 1 - 3 Months

Universidades Anáhuac
Skills you'll gain: Artificial Neural Networks, Keras (Neural Network Library), Deep Learning, Tensorflow, Convolutional Neural Networks, Recurrent Neural Networks (RNNs), Image Analysis, Model Training
Beginner · Course · 1 - 4 Weeks