Mastering ROS 2 for Robotics Programming

Packt via Coursera Specialization

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Provider

Coursera Specialization
Pricing

Paid Course
Languages

English
Certificate

Certificate Available
Sessions

Self-Paced
Level

Intermediate

Found in

Overview

This Specialization provides a structured pathway to mastering ROS 2 for modern robotics development, aligned with the latest ROS 2 Jazzy release. It begins with foundational concepts, introducing core components, architecture, and programming workflows that enable learners to confidently build and manage ROS 2-based systems. The learning journey progresses into robot modeling, simulation, and control, where learners work with 3D environments, implement controllers, and utilize advanced frameworks such as Nav2 for navigation and MoveIt 2 for manipulation. These courses strengthen the ability to design and simulate realistic robotic systems while integrating perception and control capabilities. In the final stage, the Specialization advances into aerial robotics, AI integration, and deployment workflows. Learners explore topics such as CI/CD pipelines, large language model integration, and deep reinforcement learning, enabling them to develop intelligent, scalable, and production-ready robotic applications. This specialization is based on the book, Mastering ROS 2 for Robotics Programming, by Lentin Joseph and Jonathan Cacace.

Syllabus

Course 1: ROS 2 Foundations: Architecture, Programming & Core Concepts
Course 2: Robot Modeling, Simulation, and Control with ROS 2
Course 3: Advanced ROS 2: Aerial Robotics, AI & Deployment

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Advanced ROS 2 development is a critical skill for building intelligent, autonomous robotic systems in modern industries such as aerospace, manufacturing, and AI-driven automation. This course focuses on integrating ROS 2 with advanced domains like aerial robotics, machine learning, and deployment pipelines to create scalable and efficient robotic solutions. Through hands-on projects and practical workflows, you will learn how to design, program, and deploy robotic systems using ROS 2. From building a DIY mobile robot to implementing CI/CD pipelines and integrating large language models, this course equips you with the tools needed to develop real-world robotics applications. What sets this course apart is its strong emphasis on combining theoretical foundations with cutting-edge applications like deep reinforcement learning and AI integration. You will work on realistic scenarios that mirror industry challenges, ensuring you gain both conceptual clarity and practical expertise. This course is ideal for robotics enthusiasts, software engineers, and AI practitioners with prior experience in ROS 2 or robotics fundamentals. Familiarity with Python, Linux, and basic robotics concepts is recommended. This course is part three of a three-course Specialization designed to provide a comprehensive learning pathway in this subject area. While it delivers standalone value and practical skills, learners seeking a more integrated and in-depth progression may benefit from completing the full Specialization.
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ROS 2 is a powerful framework for building scalable and modular robotic systems, widely used in modern robotics and automation. This course introduces the core architecture, programming model, and essential concepts required to develop robust ROS 2 applications in real-world environments. Through hands-on learning, you will set up a ROS 2 environment, write basic programs, and implement communication patterns between nodes. By the end of the course, you will be able to build, run, and manage ROS 2 applications while understanding how different components interact in a distributed robotic system. What sets this course apart is its balance of foundational theory and practical implementation, ensuring you not only understand ROS 2 concepts but can also apply them effectively. Real-world scenarios are used to reinforce learning and build confidence. This course is ideal for beginners in robotics, developers transitioning to ROS 2, and anyone interested in robotic software systems. Basic programming knowledge, preferably in Python or C++, is recommended. This course is part one of a three-course Specialization designed to provide a comprehensive learning pathway in this subject area. While it delivers standalone value and practical skills, learners seeking a more integrated and in-depth progression may benefit from completing the full Specialization.
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Robot modeling, simulation, and control are critical skills for developing intelligent and reliable robotic systems. This course focuses on using ROS 2 to design, simulate, and control robots, enabling developers to build and test complex robotic workflows in realistic environments. You will learn how to create 3D robot models, simulate their behavior, and implement control systems using industry-standard ROS 2 tools. The course guides you through navigation, manipulation, and perception workflows, helping you gain hands-on experience with real-world robotics applications. What makes this course unique is its end-to-end approach, combining modeling, simulation, control, and advanced frameworks like behavior trees. It bridges theory with practical implementation using widely adopted ROS 2 ecosystems. This course is ideal for robotics developers, engineers, and intermediate learners familiar with ROS basics. Prior knowledge of ROS 2 fundamentals and programming in Python or C++ is recommended. This course is part two of a three-course Specialization designed to provide a comprehensive learning pathway in this subject area. While it delivers standalone value and practical skills, learners seeking a more integrated and in-depth progression may benefit from completing the full Specialization.