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.

Pearson
Skills you'll gain: Deep Learning, Convolutional Neural Networks, PyTorch (Machine Learning Library), Recurrent Neural Networks (RNNs), Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Tensorflow, Generative AI, Model Training, Model Optimization, Machine Learning Algorithms, Network Performance Management, Network Architecture
Intermediate · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: Keras (Neural Network Library), Deep Learning, Applied Machine Learning, Model Optimization, Model Training, Artificial Neural Networks
Intermediate · Guided Project · Less Than 2 Hours

DeepLearning.AI
Skills you'll gain: Generative Adversarial Networks (GANs), Autoencoders, Generative AI, Tensorflow, Generative Model Architectures, Model Training, Image Analysis, Transfer Learning, Deep Learning, Convolutional Neural Networks, Artificial Neural Networks, Data Synthesis
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Recurrent Neural Networks (RNNs), Model Deployment, Keras (Neural Network Library), Deep Learning, Tensorflow, Artificial Neural Networks, Convolutional Neural Networks, Application Frameworks, Model Training, Artificial Intelligence, Data Preprocessing
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Unsupervised Learning, Exploratory Data Analysis, Autoencoders, Feature Engineering, Dimensionality Reduction, Supervised Learning, Generative AI, Classification Algorithms, Regression Analysis, Time Series Analysis and Forecasting, Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Reinforcement Learning, Generative Adversarial Networks (GANs), Generative Model Architectures, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Data Science, Machine Learning, Python Programming
Build toward a degree
Intermediate · Professional Certificate · 3 - 6 Months

Skills you'll gain: Reinforcement Learning, Artificial Intelligence and Machine Learning (AI/ML), AI Orchestration, LLM Application, Generative AI Agents, Agentic Workflows, Artificial Intelligence, Agentic systems, Large Language Modeling, Machine Learning Methods, Cloud Services, Responsible AI, Cloud Deployment, Machine Learning Algorithms, Front-End Web Development, Python Programming, Scalability, Data Science, Data Management
Intermediate · Course · 1 - 4 Weeks

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

Multiple educators
Skills you'll gain: Unsupervised Learning, Supervised Learning, Machine Learning Methods, Model Training, Applied Machine Learning, Machine Learning Algorithms, Transfer Learning, Machine Learning, Jupyter, Data Ethics, Decision Tree Learning, Model Evaluation, Responsible AI, Tensorflow, Scikit Learn (Machine Learning Library), NumPy, Predictive Modeling, Deep Learning, Artificial Intelligence, Classification Algorithms
Beginner · Specialization · 1 - 3 Months

DeepLearning.AI
Skills you'll gain: Unsupervised Learning, Machine Learning Methods, Applied Machine Learning, Responsible AI, Data Ethics, Machine Learning, Machine Learning Algorithms, Supervised Learning, Artificial Intelligence, Reinforcement Learning, AI Personalization, Artificial Neural Networks, Deep Learning, Anomaly Detection, Model Optimization, Dimensionality Reduction
Beginner · 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
Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: PyTorch (Machine Learning Library), Model Evaluation, Convolutional Neural Networks, Transfer Learning, Image Analysis, Model Training, Deep Learning, Python Programming
Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Machine Learning Methods, Autoencoders, Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Scientific Visualization, Classification Algorithms, Model Training, Model Evaluation
Intermediate · Course · 1 - 4 Weeks