Current

Intermediate

Self Driving and ROS 2 - Map & Localization

Udemy · Antonio Brandi · Updated March 2026

Platform rating

4.4/5

AI Tutor Rating

8.2/10

Duration

25 hours video

Classes

160

Create a ROS2 Self-Driving robot with Python and C++. Master Robot Localization, Mapping and SLAM.

What you'll get

Build SLAM systems for robot localization

Create mapping algorithms for autonomous robots

Implement localization in unknown environments

Course Curriculum

12 chapters

Fit

Best for

Autonomy Engineers

Self-Driving Developers

IoT Engineers

Systems Engineers

Not ideal for

Learners seeking only entry-level overviews

Prerequisites & pricing

Prerequisites

ROS 2 Basics

Pricing

$12.99

Certification

Certificate

Growth Leverage: Completing this course positions individuals for roles such as Robotics Engineer, Autonomous Vehicle Developer, and SLAM Specialist, opening doors to advanced careers at companies like Tesla and Waymo. Certification showcases expertise that enhances employability in the rapidly growing field of autonomous systems.

Skills Value: Employers pay significant premiums for skills in SLAM and mapping, with average salaries for robotics roles often exceeding $100,000 annually. This course equips learners to solve complex localization challenges in real-time applications, directly addressing industry needs for advanced robot autonomy.

ROS 2

SLAM

Localization

Mapping

Self-Driving

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