Markov Decision Processes Courses and Certifications

EDUCBA

Bayesian Statistics: Excel to Python A/B Testing

27 ratings at Coursera

Master Bayesian statistics from Excel basics to Python A/B testing, covering MCMC sampling, hierarchical models, and healthcare decision-making with hands-on probabilistic modeling.

• Coursera
• 6 hours 24 minutes
• Self-Paced
• Paid Course

Bayesian Computational Statistics

Rigorous introduction to Bayesian inference, covering theory, computation, and practical implementation using statistical software. Explores advanced topics and applications in data analysis.

• Coursera
• 3 days 16 hours 39 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

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

Packt

Designing and Deploying Advanced AI Agents and Applications

Master the design and deployment of AI agents using reinforcement learning, LLMs, and multi-agent architectures to build scalable, real-world AI applications with Python.

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

Coursera

Probabilistic Graphical Models: A Compact Introduction

Master probabilistic graphical models for medical diagnosis and risk prediction with Bayesian networks, inference algorithms, and Python implementation using pgmpy.

• Coursera
• 2 hours 44 minutes
• Self-Paced
• Paid Course

Packt

Advanced Deep RL Algorithms and Applications

Master advanced deep RL algorithms—DQN extensions, policy gradients, and actor-critic methods—applying them to gaming, stock trading, and NLP environments to solve complex real-world AI challenges.

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

Cognitive Robotics

Explore advanced AI techniques for autonomous systems, from self-monitoring and task scheduling to multi-agent collaboration and risk management, culminating in robust, intelligent robotic programming.

• MIT OpenCourseWare
• Self-Paced
• Free Online Course

Computational Data Science in Physics III

Dive into numerical simulations for physics research, from differential equations to lattice models, culminating in applications relevant to contemporary lattice QCD.

• MITx Online
• 7 weeks, 10-15 hours/week
• Self-Paced
• Free Online Course

Stanford CS234 - Reinforcement Learning - Spring 2024

Master reinforcement learning fundamentals through Stanford's comprehensive program covering MDP planning, policy evaluation, Q-learning, exploration strategies, and deep RL applications.

• YouTube
• 20 hours 11 minutes
• Self-Paced
• Free Video

GERAD Research Center

Planning and Learning in Risk-Aware Restless Multi-Arm Bandit

Explore risk-aware restless multi-arm bandits, indexability conditions, and Thompson sampling for bounded regret in resource distribution across Markov decision processes.

• YouTube
• 48 minutes
• Self-Paced
• Free Video

Functional Safety for Safety Instrumented Systems

558 ratings at Udemy

The most complete course available on Functional Safety. 2+ hours of videos, case studies, assignments, & more

• Udemy
• 2 hours 10 minutes
• Self-Paced
• Paid Course

Nvidia Deep Learning Institute;  Unity Career Certificate

Deep Reinforcement Learning

357 ratings at Udacity

Master deep reinforcement learning techniques to train AI agents for navigation, financial trading, and multi-agent systems. Implement classical and modern RL algorithms using PyTorch.

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

Simons Institute

Planning and Markov Decision Processes - Part 2

Explore advanced concepts in reinforcement learning, including generative models, sample complexity, value equations, and linear programming, with experts from leading institutions.

• YouTube
• 1 hour 13 minutes
• Self-Paced
• Free Video

Validation of Safety Critical Systems

Master mathematical validation techniques for autonomous systems using sampling methods, formal verification, and reachability analysis in safety-critical applications.

• YouTube
• 18 hours 50 minutes
• Self-Paced
• Free Video