Reinforcement Learning Courses and Certifications

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

294 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

AI skills: Introduction to Unsupervised, Deep and Reinforcement Learning

Learn the fundamentals and principal AI concepts about clustering, dimensionality reduction, reinforcement learning and deep learning to solve real-life problems.

• edX
• 6 weeks, 4-6 hours/week
• Self-Paced
• Free Online Course (Audit)

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

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

Machine Learning: Deep & Reinforcement Learning

Get started in Reinforcement and Deep Learning! Explore the theory and practice behind neural networks, build deep learning models, and study modern architectures used in today’s AI applications.

• edX
• 2 weeks, 30-31 hours/week
• Self-Paced
• Free Online Course (Audit)

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

Amazon Web Services;  Amazon

AWS SimuLearn: Fine-Tune a Base Model with RLHF

Hands-on experience with AI-powered simulations to design and implement AWS solutions for fine-tuning base models using RLHF. Practice communication skills while working with services like SageMaker, API Gateway, DynamoDB, and S3.

• AWS Skill Builder
• 1 hour
• Self-Paced
• Paid Course

Value-Based Methods

Apply deep learning architectures to reinforcement learning tasks. Train your own agent that navigates a virtual world from sensory data.

• Udacity
• 10 hours
• Self-Paced
• Paid Course

DeepSeek R1 Theory Tutorial - Architecture, GRPO, KL Divergence

Dive into DeepSeek R1's innovative architecture, exploring Group Relative Policy Optimization (GRPO), KL divergence, and reinforcement learning techniques with practical code examples and mathematical explanations.

• freeCodeCamp
• 1 hour 8 minutes
• Self-Paced
• Free Video

Credential

AI for Beginners: Reasoning Models

Discover how AI reasoning models actually "think" through reinforcement learning, process reward models, and datasets like PRM800K while uncovering their potential deceptions.

• Zero To Mastery
• 5 hours
• Self-Paced
• Paid Course

Packt

Cutting-Edge Topics in Deep Reinforcement Learning

Master cutting-edge deep RL techniques including continuous action spaces, trust region methods, RLHF, and multi-agent systems, with real-world case studies like AlphaGo Zero and MuZero.

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