Deep Reinforcement Learning courses can help you learn the principles of reinforcement learning, neural networks, and policy gradients. You can build skills in algorithm design, reward optimization, and environment simulation. Many courses introduce tools like TensorFlow and PyTorch, that support implementing AI models, along with techniques for training agents in complex environments.

DeepLearning.AI
Skills you'll gain: Tensorflow, Machine Learning Methods, Machine Learning, Debugging, Performance Tuning, Data Preprocessing, Python Programming, Model Evaluation, Network Architecture
★ 4.8 (147K) · Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: PyTorch (Machine Learning Library), Model Optimization, Keras (Neural Network Library), Deep Learning, Convolutional Neural Networks, Reinforcement Learning, Transfer Learning, Autoencoders, Unsupervised Learning, Tensorflow, Artificial Neural Networks, Recurrent Neural Networks (RNNs), Generative Adversarial Networks (GANs), Generative Model Architectures, Model Training, Logistic Regression, Image Analysis, Applied Machine Learning, Model Evaluation, Regression Analysis
★ 4.5 (4.3K) · Intermediate · Professional Certificate · 3 - 6 Months

Skills you'll gain: PyTorch (Machine Learning Library), Deep Learning, Development Environment, Predictive Modeling, Artificial Intelligence and Machine Learning (AI/ML), Data Preprocessing, Generative Model Architectures, Feature Engineering, Model Training, Convolutional Neural Networks, Machine Learning Methods, Transfer Learning, Artificial Neural Networks, Natural Language Processing, Network Model, Vision Transformer (ViT), Computer Vision, Jupyter, Model Evaluation, Model Based Systems Engineering
Beginner · Specialization · 1 - 3 Months

Pearson
Skills you'll gain: Large Language Modeling, Deep Learning, Image Analysis, Model Deployment, Recurrent Neural Networks (RNNs), PyTorch (Machine Learning Library), Convolutional Neural Networks, Model Optimization, Tensorflow, LLM Application, Computer Vision, Responsible AI, Natural Language Processing, Embeddings, Artificial Neural Networks, Model Training, Time Series Analysis and Forecasting, Network Architecture
Intermediate · Specialization · 1 - 4 Weeks

New York University
Skills you'll gain: Supervised Learning, Machine Learning Methods, Model Evaluation, Reinforcement Learning, Applied Machine Learning, Machine Learning Algorithms, Statistical Methods, Dimensionality Reduction, Unsupervised Learning, Artificial Neural Networks, Decision Tree Learning, Predictive Modeling, Financial Trading, Model Training, Machine Learning, Financial Market, Derivatives, Markov Model, Finance, Tensorflow
★ 3.7 (825) · Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Generative AI, Generative Model Architectures, Generative Adversarial Networks (GANs), Computer Vision, Image Analysis, Model Evaluation, Convolutional Neural Networks, Autoencoders, Model Optimization, Vision Transformer (ViT), Artificial Neural Networks, Model Deployment, Model Training, Deep Learning, Recurrent Neural Networks (RNNs), Embeddings, Machine Learning Methods, PyTorch (Machine Learning Library), AI Enablement, Artificial Intelligence
Advanced · Specialization · 1 - 3 Months

DeepLearning.AI
Skills you'll gain: Unsupervised Learning, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Responsible AI, Machine Learning, Supervised Learning, Artificial Intelligence, Reinforcement Learning, Artificial Neural Networks, Deep Learning, Anomaly Detection, Model Optimization, Dimensionality Reduction
★ 4.9 (5.7K) · Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Model Evaluation, Convolutional Neural Networks, Model Training, Data Preprocessing, Deep Learning, Keras (Neural Network Library), Tensorflow, Artificial Neural Networks, Recurrent Neural Networks (RNNs), Data Transformation, Financial Forecasting, Model Optimization, Data Visualization, Time Series Analysis and Forecasting, Exploratory Data Analysis, Python Programming, Predictive Modeling, Development Environment, Project Performance, Forecasting
★ 4.6 (51) · Beginner · Specialization · 1 - 3 Months

Simplilearn
Skills you'll gain: Supervised Learning, Data Modeling, Unsupervised Learning, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Data Analysis, Machine Learning Methods, Recurrent Neural Networks (RNNs), Model Deployment, Reinforcement Learning, Artificial Intelligence, Classification Algorithms, Tensorflow, Machine Learning Algorithms, Keras (Neural Network Library), Artificial Neural Networks, Deep Learning, Machine Learning, Decision Tree Learning, Regression Analysis
★ 3.9 (15) · Beginner · Specialization · 1 - 3 Months

Skills you'll gain: Recurrent Neural Networks (RNNs), Artificial Neural Networks, Deep Learning, Matplotlib, Convolutional Neural Networks, Linear Algebra, Image Analysis, Data Visualization, NumPy, Machine Learning Algorithms, Keras (Neural Network Library), Pandas (Python Package), Model Training, Applied Machine Learning, Data Science, Tensorflow, Data Analysis, Python Programming, Artificial Intelligence, Machine Learning
★ 4.3 (7) · Beginner · Specialization · 3 - 6 Months

Skills you'll gain: PyTorch (Machine Learning Library), Reinforcement Learning, Deep Learning, Artificial Neural Networks, Model Training, Machine Learning, Python Programming, Algorithms, Model Evaluation
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Reinforcement Learning, Deep Learning, Artificial Neural Networks, Machine Learning, Model Training, Machine Learning Algorithms, Data Analysis
Advanced · Course · 1 - 3 Months