Kalman Filter Courses and Certifications

Kalman Filter Boot Camp (and State Estimation)

27 ratings at Coursera

Estimate the hidden internal state of a dynamic system: cover state-space models, random variables, and implement and evaluate a linear Kalman filter in Octave.

• Coursera
• 4 weeks, 6 hours a week
• Self-Paced
• Paid Course

Linear Kalman Filter Deep Dive (and Target Tracking)

Derive the linear Kalman filter step by step, make it robust to broken assumptions and roundoff error, extend it to prediction and smoothing, and code target tracking in Octave.

• Coursera
• 4 weeks, 5 hours a week
• Self-Paced
• Paid Course

Steve Brunton

Control Bootcamp - Kalman Filter Example in Matlab

1 rating

Use a Kalman filter in MATLAB to estimate an inverted pendulum’s full state from a single noisy cart-position measurement.

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

Ross Dynamics Lab

Kalman Filter for Beginners - Recursive Filters & MATLAB Examples

4 ratings

Explore recursive filters, including average, moving average, and low-pass filters, with practical MATLAB examples. Learn the foundations of Kalman filtering for enhanced estimation and data analysis skills.

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

Ross Dynamics Lab

Kalman Filter for Beginners - Estimation and Prediction Process & MATLAB Example

Explore Kalman Filter estimation and prediction processes, system modeling, and MATLAB examples. Learn practical applications for dynamic attitude estimation in aerospace engineering.

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

Career Certificate

Applied Kalman Filtering

39 ratings at Coursera

Derive, design, and implement linear, nonlinear, and particle Kalman filters in Octave, debugging anomalous behavior across state estimation, target tracking, parameter estimation, and navigation.

• Coursera
• 16 weeks, 5 hours a week
• Self-Paced
• Paid Course
• 4 courses

Nonlinear Kalman Filters (and Parameter Estimation)

Derive and implement extended and sigma-point Kalman filters in Octave for nonlinear systems, tune noise-covariance values adaptively, and estimate state-space model parameters.

• Coursera
• 4 weeks, 5 hours a week
• Self-Paced
• Paid Course

Particle Filters (and Navigation)

Develop particle filters for strongly nonlinear state estimation: Monte-Carlo integration, importance density, sequential importance sampling, resampling, and an Octave implementation applied to indoor navigation.

• Coursera
• 4 weeks, 5 hours a week
• Self-Paced
• Paid Course

Iain Explains Signals, Systems, and Digital Comms

Estimation, Filtering and Prediction

Dive into digital filtering, estimation, and prediction techniques including Kalman filters, least squares estimation, and adaptive algorithms for signal processing applications.

• YouTube
• 1 hour 44 minutes
• Self-Paced
• Free Video

Mercedes Benz;  Waymo Career Certificate

Self Driving Car Engineer

5 ratings

Build self-driving car systems through hands-on work in computer vision, sensor fusion, localization, planning, and control.

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

JuliaHub

Fault Detection Using Kalman Filters in Julia - Part 12

Discover fault detection techniques using Kalman filters and thermal system modeling in Julia, leveraging state estimators from LowLevelParticleFilters.jl for practical implementation and analysis.

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

Mercedes Benz Career Certificate

Sensor Fusion

186 ratings at Udacity

Fuse lidar, radar, and camera data for autonomous vehicles: detect obstacles, track objects, and implement Kalman filters across hands-on perception projects.

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

Career Certificate

Flying Car and Autonomous Flight Engineer

127 ratings at Udacity

Build and program autonomous aerial vehicles through hands-on projects in quadrotor flight, 3D path planning, nonlinear control, and sensor-fusion-based state estimation.

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

Object Tracking and Localization

Learn how to locate an object and track it over time. These techniques are used in a variety of moving systems, such as self-driving car navigation and drone flight.

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

University of Colorado System;  CU Boulder Career Certificate

Algorithms for Battery Management Systems

2586 ratings at Coursera

Model lithium-ion cells with equivalent-circuit simulations and write algorithms to estimate state-of-charge, state-of-health, remaining energy and available power, and to balance cells in a pack.

• Coursera
• 12 weeks, 10 hours a week
• Self-Paced
• Paid Course
• 5 courses