State Estimation Courses and Certifications

Fields Institute

State Estimation of Complex Systems

Explore state estimation techniques for complex systems, focusing on advanced methods and applications in dynamical systems and machine learning.

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

Nonlinear Kalman Filters (and Parameter Estimation)

Explore advanced nonlinear Kalman filtering techniques for state estimation, including extended and sigma-point filters. Learn implementation, comparison, and parameter estimation for complex dynamic systems.

• Coursera
• 21 hours 7 minutes
• On-Demand
• Paid Course

State Estimation and Localization for Self-Driving Cars

839 ratings at Coursera

Explore state estimation and localization techniques for self-driving cars, including Kalman filters, GPS/INS integration, and LIDAR sensing. Gain practical skills in implementing autonomous vehicle state estimators.

• Coursera
• 1 day 2 hours 48 minutes
• On-Demand
• Paid Course

Optimization and State Estimation Fundamentals

237 ratings at Udemy

Learn optimization fundamentals and state estimation techniques with this practical course!

• Udemy
• 4 hours 36 minutes
• On-Demand
• Paid Course

Kalman Filter Boot Camp (and State Estimation)

24 ratings at Coursera

Explore Kalman filters for state estimation in dynamic systems, covering theory, implementation in Octave, and practical applications. Gain hands-on experience with this powerful tool for solving complex estimation problems.

• Coursera
• 22 hours 5 minutes
• On-Demand
• Paid Course

Georgia Tech Research

Nuts and Bolts of Modern State Space Models - Part I

Explore state space models for analyzing sequential data, covering foundations, algorithms, and applications using the dynamax library. Learn to uncover latent states in high-dimensional measurements.

• YouTube
• 1 hour 28 minutes
• On-Demand
• Free Video

University of Colorado System;  CU Boulder

Battery State-of-Charge (SOC) Estimation

254 ratings at Coursera

Learn to implement and evaluate various state-of-charge estimation methods for battery management systems, including Kalman filters and techniques to improve computational efficiency and handle sensor errors.

• Coursera
• 1 day 4 hours 6 minutes
• On-Demand
• Paid Course

University of Colorado System;  CU Boulder

Battery State-of-Health (SOH) Estimation

158 ratings at Coursera

Explore lithium-ion battery degradation mechanisms and implement state-of-health estimation methods using lab data. Learn to evaluate results and compute confidence intervals for capacity and resistance estimates.

• Coursera
• 23 hours 7 minutes
• On-Demand
• Paid Course

Inside Livermore Lab

Dynamical Approximation and Sensor Placement for the State Estimation of Transport Problems

Explore the inverse problem of reconstructing unknown functions from finite measurements, focusing on symplectic dynamical low-rank approximation and dynamical sensor placement for wave phenomena in Hamiltonian systems.

• YouTube
• 1 hour 14 minutes
• On-Demand
• Free Video

Microcredential

Self-Driving Cars

3548 ratings at Coursera

Master autonomous vehicle technology through hands-on projects using CARLA simulator. Gain comprehensive understanding of state-of-the-art engineering practices and build your own self-driving software stack.

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

Advanced Kalman Filtering and Sensor Fusion

973 ratings at Udemy

Theory and C++ Simulation Implementation for Autonomous Vehicles and Self Driving Cars!

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

AI for Autonomous Vehicles and Robotics

56 ratings at Coursera

Master the fundamentals of AI applications in autonomous systems, exploring machine learning algorithms for perception, decision-making, and control in self-driving vehicles and robotics.

• Coursera
• 6 hours 42 minutes
• On-Demand
• Paid Course

Microcredential

Applied Kalman Filtering

34 ratings at Coursera

Derive, design, and implement Kalman-filter solutions for engineering problems. Develop linear and nonlinear Kalman filters and particle filters in Octave, enhancing state estimation skills.

• Coursera
• 16 weeks, 5 hours a week
• On-Demand
• Paid Course
• 4 courses

Linear Kalman Filter Deep Dive (and Target Tracking)

Explore linear Kalman filter derivation, robustness enhancements, extensions, and practical implementation in target tracking using Octave, building on foundational knowledge.

• Coursera
• 21 hours 43 minutes
• On-Demand
• Paid Course

Particle Filters (and Navigation)

Learn to develop and implement particle filters for nonlinear state estimation, focusing on Monte-Carlo integration, importance sampling, and resampling techniques. Apply these skills to solve indoor navigation problems.

• Coursera
• 21 hours 55 minutes
• On-Demand
• Paid Course