Reinforcement Learning courses can help you learn key concepts like Markov decision processes, reward systems, and policy optimization. You can build skills in algorithm design, simulation environments, and evaluating agent performance. Many courses introduce tools such as TensorFlow and OpenAI Gym, that support implementing and testing reinforcement learning algorithms in practical scenarios.

Duke University
Skills you'll gain: MLOps (Machine Learning Operations), Pandas (Python Package), AWS SageMaker, NumPy, Microsoft Azure, Application Deployment, Responsible AI, Data Manipulation, Exploratory Data Analysis, Containerization, Data Pipelines, CI/CD, DevOps, Cloud Computing, Python Programming, Machine Learning, GitHub, Big Data, Data Management, Data Analysis
Advanced · Specialization · 3 - 6 Months

New York University
Skills you'll gain: Supervised Learning, Reinforcement Learning, Applied Machine Learning, Machine Learning, Statistical Methods, Dimensionality Reduction, Unsupervised Learning, Artificial Neural Networks, Decision Tree Learning, Predictive Modeling, Financial Trading, Financial Market, Derivatives, Scikit Learn (Machine Learning Library), Markov Model, Regression Analysis, Market Dynamics, Risk Modeling, Tensorflow, Financial Modeling
Intermediate · Specialization · 3 - 6 Months

New York University
Skills you'll gain: Reinforcement Learning, Financial Trading, Financial Market, Derivatives, Markov Model, Financial Modeling, Securities Trading, Portfolio Management, Risk Management, Market Dynamics, Machine Learning, Estimation
Advanced · Course · 1 - 4 Weeks

Skills you'll gain: Exploratory Data Analysis, Unsupervised Learning, Supervised Learning, Feature Engineering, Regression Analysis, Dimensionality Reduction, Time Series Analysis and Forecasting, Reinforcement Learning, Generative Model Architectures, Data Cleansing, Data Access, Deep Learning, Data Analysis, Applied Machine Learning, Predictive Modeling, Statistical Inference, Data Science, Machine Learning Algorithms, Machine Learning, Python Programming
Build toward a degree
Intermediate · Professional Certificate · 3 - 6 Months

Skills you'll gain: Prompt Engineering, Apache Spark, Large Language Modeling, PyTorch (Machine Learning Library), Unsupervised Learning, Generative AI, PySpark, Computer Vision, Supervised Learning, Keras (Neural Network Library), Feature Engineering, Deep Learning, Reinforcement Learning, LLM Application, Jupyter, Applied Machine Learning, Natural Language Processing, Machine Learning, Python Programming, Data Science
Build toward a degree
Intermediate · Professional Certificate · 3 - 6 Months

DeepLearning.AI
Skills you'll gain: Deep Learning, Artificial Neural Networks, Supervised Learning, Artificial Intelligence, Computer Vision, Machine Learning, Python Programming, Linear Algebra, Calculus
Intermediate · Course · 1 - 4 Weeks

DeepLearning.AI
Skills you'll gain: Descriptive Statistics, Bayesian Statistics, Statistical Hypothesis Testing, Probability & Statistics, Sampling (Statistics), Probability Distribution, Linear Algebra, Statistical Inference, A/B Testing, Statistical Analysis, Applied Mathematics, NumPy, Probability, Calculus, Dimensionality Reduction, Numerical Analysis, Mathematical Modeling, Machine Learning, Machine Learning Methods, Data Transformation
Intermediate · Specialization · 1 - 3 Months

New York Institute of Finance
Skills you'll gain: Reinforcement Learning, Financial Trading, Deep Learning, Portfolio Management, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Applied Machine Learning, Markov Model, Machine Learning, Financial Market, Time Series Analysis and Forecasting
Intermediate · Course · 1 - 4 Weeks

DeepLearning.AI
Skills you'll gain: MLOps (Machine Learning Operations), Application Deployment, Continuous Deployment, Software Development Life Cycle, Machine Learning, Applied Machine Learning, Data Validation, Feature Engineering, Data Quality, Continuous Monitoring, Data Pipelines
Intermediate · Course · 1 - 4 Weeks

Imperial College London
Skills you'll gain: Linear Algebra, Dimensionality Reduction, NumPy, Regression Analysis, Calculus, Applied Mathematics, Probability & Statistics, Machine Learning Algorithms, Machine Learning Methods, Jupyter, Data Science, Advanced Mathematics, Statistics, Statistical Analysis, Artificial Neural Networks, Algorithms, Data Manipulation, Python Programming, Machine Learning, Derivatives
Beginner · Specialization · 3 - 6 Months

Johns Hopkins University
Skills you'll gain: Computer Vision, PyTorch (Machine Learning Library), Supervised Learning, Unsupervised Learning, Image Analysis, Applied Machine Learning, Dimensionality Reduction, Reinforcement Learning, Feature Engineering, Machine Learning Algorithms, Regression Analysis, Data Processing, Machine Learning, Predictive Modeling, Data Mining, Data Cleansing, Statistical Machine Learning, Deep Learning, Artificial Neural Networks, Decision Tree Learning
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Feature Engineering, Applied Machine Learning, Advanced Analytics, Machine Learning, Unsupervised Learning, Workflow Management, Data Ethics, Supervised Learning, Data Validation, Classification And Regression Tree (CART), Random Forest Algorithm, Decision Tree Learning, Python Programming, Performance Tuning
Advanced · Course · 1 - 3 Months