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.

Coursera
Skills you'll gain: Recurrent Neural Networks (RNNs), Model Optimization, Convolutional Neural Networks, Transfer Learning, Model Training, Model Evaluation
Intermediate · Course · 1 - 4 Weeks

University of Alberta
Skills you'll gain: Reinforcement Learning, Machine Learning Methods, Machine Learning, Sampling (Statistics), Machine Learning Algorithms, Artificial Intelligence, Deep Learning, Systems Development, Simulations, Solution Architecture, Agentic systems, Feature Engineering, Model Training, Markov Model, Decision Intelligence, Supervised Learning, Algorithms, Model Evaluation, Applied Machine Learning, Artificial Neural Networks
★ 4.7 (3.6K) · Intermediate · Specialization · 3 - 6 Months

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 (18) · Intermediate · Course · 1 - 3 Months

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: Autoencoders, Generative AI, Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Reinforcement Learning, Generative Adversarial Networks (GANs), Generative Model Architectures, Deep Learning, Unsupervised Learning, Machine Learning Methods, Transfer Learning, Model Optimization, Artificial Neural Networks, Keras (Neural Network Library), Machine Learning, Artificial Intelligence, Computer Vision, Applied Machine Learning, Model Training
★ 4.6 (305) · Intermediate · Course · 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, Generative AI, Embeddings, Model Optimization, Network Architecture
★ 4.9 (43K) · Intermediate · Course · 1 - 4 Weeks

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

DeepLearning.AI
Skills you'll gain: Model Evaluation, Deep Learning, Statistical Analysis, Clinical Trials, Feature Engineering, Data Preprocessing, Classification And Regression Tree (CART), Risk Modeling, Statistical Methods, Treatment Planning, Data Analysis, Precision Medicine, Convolutional Neural Networks, Decision Tree Learning, Predictive Modeling, Applied Machine Learning, Image Analysis, Statistical Machine Learning, Diagnostic Radiology, Machine Learning
★ 4.7 (2.5K) · Intermediate · Specialization · 1 - 3 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

Skills you'll gain: Convolutional Neural Networks, Deep Learning, Generative AI, Transfer Learning, Image Analysis, Computer Vision, PyTorch (Machine Learning Library), Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Tensorflow, Applied Machine Learning, 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: 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

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