Monte Carlo Methods Courses and Certifications

Dave Churchill

Introduction to Artificial Intelligence - Lecture 18 - Monte Carlo Methods

Explore Monte Carlo methods in artificial intelligence, learning algorithmic techniques for modern problem-solving and game applications.

• YouTube
• 1 hour 2 minutes
• On-Demand
• Free Video

Kanban Practitioner and Using Scrum™ with Kanban

1388 ratings at Udemy

Kanban System for projects and teams - Using Scrum™ with Kanban - Certification test preparation

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

Computational Physics: Scientific Programming with Python

1111 ratings at Udemy

From numerical methods to exciting applications: Differential equations, eigenvalue problems, Monte Carlo methods & more

• Udemy
• 20 hours 56 minutes
• On-Demand
• Paid Course

Introduction to Uncertainty Quantification

10 ratings at Coursera

Master the fundamentals of Uncertainty Quantification through probability theory, uncertainty propagation, surrogate modeling, reliability analysis, and Bayesian methods for mathematical and engineering systems.

• Coursera
• 1 day 5 hours 57 minutes
• On-Demand
• Paid Course

Decision Making and Reinforcement Learning

23 ratings at Coursera

Explore sequential decision-making and reinforcement learning, covering utility theory, bandit problems, MDPs, POMDPs, Monte Carlo methods, and temporal difference learning. Gain practical skills through algorithms and examples.

• Coursera
• 1 day 23 hours 9 minutes
• On-Demand
• Paid Course

Microcredential

Foundations of Probability and Statistics

345 ratings at Coursera

Master probability, statistics, and stochastic processes with direct applications to data science and AI through three comprehensive mathematical foundations.

• Coursera
• 12 weeks, 10 hours a week
• On-Demand
• Paid Course
• 3 courses

Designing Larger Python Programs for Data Science

Learn to design complex Python programs for data science, covering top-down design, Monte Carlo simulations, and efficient code integration. Develop skills to handle large-scale projects and simulate real-world problems.

• Coursera
• 1 day 18 hours 12 minutes
• On-Demand
• Paid Course

Modern Statistical Computing and Regression Modeling in R

Discover statistical computing with R, Excel, Tableau, and Jupyter Notebooks while mastering Monte Carlo methods and regression analysis through hands-on practice with real datasets.

• Coursera
• 11 hours 6 minutes
• On-Demand
• Paid Course

Statistical Physics & Thermodynamics from Beginner to Expert

197 ratings at Udemy

Understand the theoretical physics of statistical mechanics (classical and quantum level) and apply it to thermodynamics

• Udemy
• 11 hours 46 minutes
• On-Demand
• Paid Course

Derivatives

Explore derivative pricing models, financial markets, and numerical methods. Master discrete and continuous time techniques, fixed income products, and Monte Carlo option pricing.

• Coursera
• 8 hours 9 minutes
• On-Demand
• Paid Course

Applied Bayesian for Analytics

Learn how to construct, fit, estimate and compute Bayesian statistical models with the help of OpenBUGS (freely available software)

• edX
• 6 weeks, 2-3 hours a week
• On-Demand
• Free Online Course (Audit)

Flight Dynamics in Six Degrees-of-Freedom

110 ratings at Udemy

Master high-fidelity flight dynamics through hands-on simulations, covering aerodynamics, propulsion, guidance, and navigation for missiles, aircraft, and hypersonic vehicles using C++ and Monte Carlo analysis.

• Udemy
• 11 hours 59 minutes
• On-Demand
• Paid Course

Reinforcement Learning

This MOOC teaches the basics in reinforcement learning. It provides participants with a solid mathematical basis to study new methods from reinforcement learning research and put them into practice.

• edX
• 8 weeks, 2-3 hours a week
• On-Demand
• Free Online Course (Audit)

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 a week
• On-Demand
• Free Online Course

Reinforcement Learning Foundations

437 ratings at LinkedIn Learning

Learn the basics of reinforcement learning (RL), including the terminology, the kinds of problems you can solve with RL, and the different methods for solving those problems.

• LinkedIn Learning
• 44 minutes
• On-Demand
• Free Trial Available