Reinforcement Learning Courses and Certifications

Fundamental of Reinforcement Training

Discover reinforcement learning fundamentals through MDP concepts and hands-on demos, distinguishing RL from other ML approaches for real-world decision-making applications.

• Coursera
• 3 hours 4 minutes
• Self-Paced
• Paid Course

Coursera

Optimize with GA & RL

Master genetic algorithms and Q-learning for supply chain optimization, comparing AI methods with traditional approaches using real-world datasets and Python implementation.

• Coursera
• 3 hours 2 minutes
• Self-Paced
• Paid Course

Career Certificate

Machine Learning and Reinforcement Learning in Finance

822 ratings at Coursera

Comprehensive exploration of machine learning and reinforcement learning applications in finance, covering core algorithms, practical problem-solving, and implementation for various financial scenarios.

• Coursera
• 8 weeks, 10 hours/week
• Self-Paced
• Paid Course
• 4 courses

Brown University;  Georgia Tech

Reinforcement Learning

8 ratings

Study machine learning at a deeper level and become a participant in the reinforcement learning research community.

• Udacity
• 21 hours
• Self-Paced
• Free Online Course

AI for Network Engineers

570 ratings at Udemy

AI-Reinforcement learning for creating Python applications to manage networks and systems (Cisco, Juniper, Palo Alto ...

• Udemy
• 1 hour 54 minutes
• Self-Paced
• Paid Course

Deep Learning and Reinforcement Learning

300 ratings at Coursera

Explore neural networks, deep learning architectures, and reinforcement learning. Gain hands-on practice with Keras, CNNs, transfer learning, RNNs, autoencoders, and generative models for AI applications.

• Coursera
• 1 day 7 hours 22 minutes
• Self-Paced
• Paid Course

Reinforcement Learning in Finance

134 ratings at Coursera

Explore reinforcement learning applications in finance, including option valuation, trading, and asset management. Gain practical skills through Q-learning examples and a market dynamics project.

• Coursera
• 17 hours 8 minutes
• Self-Paced
• Paid Course

Deep Reinforcement Learning: From Theory to Practice

Master deep reinforcement learning from function approximation to modern algorithms like PPO, DDPG, and SAC, implementing stable agents for high-dimensional environments including games and robotics.

• Coursera
• 6 weeks, 2 hours a week
• Self-Paced
• Paid Course

Overview of Advanced Methods of Reinforcement Learning in Finance

85 ratings at Coursera

Explore advanced reinforcement learning methods in finance, covering option pricing, market impact, high-frequency trading, cryptocurrencies, and peer-to-peer lending. Gain insights into market equilibrium and predictability.

• Coursera
• 13 hours 14 minutes
• Self-Paced
• Paid Course

Practical AI with Python and Reinforcement Learning

1285 ratings at Udemy

Learn how to use Reinforcement Learning techniques to create practical Artificial Intelligence programs!

• Udemy
• 1 day 2 hours 25 minutes
• Self-Paced
• Paid Course

Reinforcement Learning: Qwik Start

10 ratings at Coursera

Explore fundamental concepts of Reinforcement Learning through hands-on practice in the Google Cloud console, gaining practical insights into this powerful machine learning technique.

• Coursera
• 45 minutes
• Self-Paced
• Paid Course

Packt

Foundations of Deep Reinforcement Learning with PyTorch

Master deep reinforcement learning with PyTorch, covering OpenAI Gym, Bellman equations, Deep Q-Networks, and hands-on projects to build practical RL models for AI, robotics, and gaming.

• Coursera
• 7 hours
• Self-Paced
• Paid Course

Packt Career Certificate

Deep Reinforcement Learning Hands-On

Master Deep Reinforcement Learning from foundations to cutting-edge topics, covering PyTorch, DQN, Actor-Critic Methods, robotics, and multi-agent RL for real-world applications.

• Coursera
• Self-Paced
• Paid Course
• 3 courses

Stochastic Approximation: Theory and Applications

Explore stochastic approximation algorithms for locating zeroes or optimal points in noisy function evaluations, with applications in regression, system identification, adaptive control, reinforcement learning, and machine learning.

• Swayam
• 12 weeks
• Self-Paced
• Free Online Course

Q Learning in Reinforcement Training Basics

Master Q-Learning fundamentals and implementation through hands-on demos, exploring Q-values, rewards, and agent decision-making for robotics, gaming, and AI applications.

• Coursera
• 1 hour 44 minutes
• Self-Paced
• Paid Course