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.

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

Skills you'll gain: Model Training, Application Development, Predictive Modeling, Model Optimization
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Exploratory Data Analysis, Model Deployment, Keras (Neural Network Library), Model Optimization, Data Processing, Transfer Learning, Data Analysis, Model Training, Data Preprocessing, Image Analysis, Deep Learning, Classification Algorithms, Artificial Neural Networks, Computer Vision, Predictive Modeling, Model Evaluation, Machine Learning
Intermediate · Course · 3 - 6 Months

Skills you'll gain: Deep Learning, Tensorflow, Keras (Neural Network Library), Matplotlib, NumPy, Applied Machine Learning, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Python Programming, Pandas (Python Package), Machine Learning Methods, Data Science, Artificial Intelligence, Model Optimization, Model Training, Data Preprocessing, Machine Learning, Network Model, Data Manipulation, Model Evaluation
Beginner · Course · 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

Multiple educators
Skills you'll gain: Unsupervised Learning, Supervised Learning, Machine Learning Methods, Applied Machine Learning, Model Training, 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

Skills you'll gain: Reinforcement Learning, Artificial Intelligence and Machine Learning (AI/ML), CI/CD, Robotics, LLM Application, Continuous Integration, Artificial Intelligence, Large Language Modeling, Agentic Workflows, Continuous Deployment, Agentic systems, Deep Learning, Machine Learning Methods, Python Programming, Software Visualization, Application Deployment, Test Automation, Visualization (Computer Graphics), Debugging, C (Programming Language)
Advanced · Course · 1 - 3 Months

Skills you'll gain: Robotics, Machine Controls, Reinforcement Learning, Artificial Intelligence and Machine Learning (AI/ML), CI/CD, Continuous Integration, Artificial Intelligence, 3D Modeling, Large Language Modeling, Agentic Workflows, Continuous Deployment, Docker (Software), Automation Engineering, 3D Assets, LLM Application, Containerization, Ubuntu, Python Programming, Linux, C++ (Programming Language)
Intermediate · Specialization · 3 - 6 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