Q-learning Courses and Certifications

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
• On-Demand
• Paid Course

University of Alberta;  Alberta Machine Intelligence Institute

Sample-based Learning Methods

44 reviews

Explore sample-based learning methods in reinforcement learning, including Monte Carlo, temporal difference, and Dyna. Learn to estimate value functions, implement algorithms, and improve sample efficiency.

• Coursera
• 22 hours 16 minutes
• On-Demand
• Paid Course

Edan Meyer

Q-Learning Tutorials - Deep Q Networks, Experience Replay, and Advanced Architectures

Master Q-Learning fundamentals through Deep Q Networks, experience replay, training loops, and advanced architectures like double and dueling networks.

• YouTube
• 2 hours 22 minutes
• On-Demand
• Free Video

Discover AI

Q-Learning and Hindsight Regeneration for Interactive AI Agents

Explore groundbreaking Q-Learning techniques for AI agents, featuring Hindsight Regeneration and Q-SFT approaches that enhance conversational AI capabilities through advanced reinforcement learning methods.

• YouTube
• 12 minutes
• On-Demand
• Free Video

Q-Learning Unleashed: Building Intelligent Agents

Master Q-learning from fundamentals to implementation, building intelligent agents with exploration policies and decision-making capabilities in practical environments.

• CodeSignal
• 1 hour
• On-Demand
• Free Certificate

Artificial Intelligence A-Z 2026: Agentic AI, Gen AI, and RL

49163 ratings at Udemy

Combine the power of Agentic AI, Generative AI, Reinforcement Learning to create powerful AI for Real-World applications

• Udemy
• 15 hours 16 minutes
• On-Demand
• Paid Course

Deep Reinforcement Learning - Tutorial Session: Review of Q-Learning

Dive into Q-learning fundamentals with MDP review, parametric approaches, and practical algorithm walkthroughs for deep reinforcement learning mastery.

• YouTube
• 51 minutes
• On-Demand
• Free Video

Modern Reinforcement Learning: Deep Q Agents (PyTorch & TF2)

1112 ratings at Udemy

How to Turn Deep Reinforcement Learning Research Papers Into Agents That Beat Classic Atari Games

• Udemy
• 6 hours 45 minutes
• On-Demand
• Paid Course

Steve Brunton

Q-Learning - Model Free Reinforcement Learning and Temporal Difference Learning

Explore Q-learning and temporal difference algorithms in reinforcement learning, including SARSA and connections to biological learning through dopamine. Covers key concepts for deep reinforcement learning.

• YouTube
• 36 minutes
• On-Demand
• Free Video

Reinforcement Learning with Gymnasium in Python

Start your reinforcement learning journey! Learn how agents can learn to solve environments through interactions.

• DataCamp
• 4 hours
• On-Demand
• Free Trial Available

Deep Reinforcement Learning in Python

Learn and use powerful Deep Reinforcement Learning algorithms, including refinement and optimization techniques.

• DataCamp
• 4 hours
• On-Demand
• Free Trial Available

Reinforcement Learning in Python

Master the fundamentals of reinforcement learning (RL) to create models that can navigate complex real-world environments and train LLMs.

• DataCamp
• 12 hours
• On-Demand
• Free Trial Available

Reinforcement Learning

Master reinforcement learning for trading by building, training, and optimizing ML strategies using Q-learning, market indicators, and Python backtesting techniques.

• Udacity
• 23 hours
• On-Demand
• Paid Course

Microcredential

AI Trading Strategies

4 ratings at Udacity

Master AI-based trading model development from ideation to optimization, covering preprocessing, backtesting, reinforcement learning, and momentum strategies for data-driven market analysis and trading decisions.

• Udacity
• 96 hours
• On-Demand
• Paid Course

Edan Meyer

Q Learning Tutorial - Experience Replay

Explore Experience Replay in Q-Learning, focusing on data formatting and implementation. Learn key techniques for improving reinforcement learning algorithms in this hands-on tutorial.

• YouTube
• 27 minutes
• On-Demand
• Free Video