Robotics Engineer Certificate
Project-driven
-
Participants can interact with the instructor,
ask questions, seek clarification,
and receive immediate feedback. -
You can receive a full refund before
the second session. After attending
the second session, you will not be eligible
for a refund. -
Access to the session that was originally
conducted in real time. -
You can retake the same course you attended.
-
We will provide you with the notes for the course.
-
We will provide you with the homework
assignments for additional practice. -
You can always reach out to the instructor
between sessions or after the course on Slack.
Final price
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The Robotic Engineer Certificate is a practical, project-driven program that takes you from math and Linux fundamentals to the frontier of Physical AI. You'll work in Python and C++ across ROS 2, embedded hardware (Raspberry Pi, Arduino, Jetson Orin Nano Super), sensors and sensor fusion, GPU-accelerated perception and SLAM, control theory, and simulation — then specialize in drones, ground robots, or manipulation. Each phase is sequenced by what the next one actually needs, and each ends in a working demo rather than a test. You finish with an end-to-end capstone running on real hardware, publicly documented, plus the professional practice (safety standards, testing, debugging, CAD) that makes the work employable.
Graduate Professionally Prepared
Embedded systems
Raspberry Pi, Arduino, Jetson, and the protocols underneath: GPIO, I2C, SPI, UART, PWM.
GPU perception
CUDA concepts, NVIDIA Isaac ROS and TensorRT to run real-time inference onboard.
Runs on real hardware
Every phase ends in something that runs, not a written test.
Real hardware
Demos live on physical robots at least once per phase, not just in sim.
Career Options for Graduates
Courses in this Bundle
This is the recommended order, but some courses may be taken in a different order. See the FAQ for more details.
Modern autonomous systems are much more than isolated mechanical frames. Behind every production-grade mobile robot, drone, or industrial manipulator is a complex combination of embedded hardware, electronics, real-time software, sensor networks, communication topologies, and control algorithms working as a single machine.
Every robotics job posting asks for ROS 2. Almost nobody teaches it properly. What you'll find online is a wall of tutorials that get you to a talking turtle and then stop. You can follow all of them and still not be able to answer the question a robotics interviewer actually asks: your LiDAR is publishing and your transform tree is broken — what do you check first?
Learn how to push your robot to 30+ FPS on NVIDIA Jetson with CUDA, TensorRT, and Python, and prove it with real benchmarks. Go past tutorials and build real autonomy with ROS 2, SLAM, Nav2, and edge AI running on a Pi 5 and Jetson Orin. You'll finish with a containerized, CI-tested robot and results you can measure and put on your resume.
Instructors
Art Yudin
Earn a Certificate
Upon completion of all courses, you’ll receive an official certificate testifying to your mastery of the curriculum. We’ll send you a link where you can download your certificate, share it online with your friends, post it to your professional network on LinkedIn, and view all your earned certificates. Congratulations on your achievement!
Testimonials
Questions? Check here
No robotics or electronics experience is needed. This course is designed for beginners and for people moving into robotics from another field. Basic familiarity with Python and using a computer's command line will help, but everything else is taught from scratch.
Yes. Your engineers receive dedicated Slack access to the instructor for continuous Q&A and troubleshooting during their real-world implementation phase.
No. The simulation track runs entirely on your laptop with ROS 2, Gazebo, and RViz2, so you don't need to buy any hardware. You'll just need: A laptop or desktop running Linux, macOS, or Windows that can handle ROS 2 and Gazebo.
Recommended specs: 16GB RAM, a recent multi-core CPU, and about 50GB of free disk space.
Yes. This is a hands-on course where you build a real autonomous robot, so you'll need the following hardware: NVIDIA Jetson Orin, Raspberry Pi 5, Mobile robot base, 2D LiDAR, CSI camera for computer vision. We will get you the full list with recommended items before the course starts, estimated at about $650–800.
You'll need a working knowledge of Python. You should be comfortable writing functions and classes, working with modules, and running scripts from the command line. Recommended: Take Embedded Systems and Robotics Software first. It covers Linux, the Raspberry Pi 5, and building the robot hardware, which makes it a natural lead-in to ROS 2.
Yes. You'll build a real robot, so you'll need:
Raspberry Pi 5 (4GB is enough), about $85
ESP32 about $10
2 DC motors with rotary encoders, $25–40
H-bridge motor driver (e.g., TB6612FNG or L298N), about $5–10
Robot chassis and wheels, about $15–30
Breadboard, jumper wires, resistors, and basic components, about $15–20
Digital multimeter, about $15–25
Battery pack $25–40
microSD card (32GB or larger), about $10
Estimated total: about $200-$275
You'll need a working knowledge of Python and ROS 2. You should be comfortable writing Python scripts, working with classes and packages, and building basic ROS 2 nodes that publish, subscribe, and use launch files. Recommended: This course builds on two earlier courses, and taking them first will help a lot:
Embedded Systems and Robotics Software covers Linux on embedded boards, working with hardware, and the basics of robotics software. ROS 2 Robotics Developer covers nodes, topics, services, actions.
Live, five consecutive days. Sessions are recorded and the archive is yours permanently, but the recordings are a reference for afterwards rather than an alternative to attending — most of the value is in being unblocked by an instructor while you are actually stuck.
No robotics or electronics experience is needed. This course is designed for beginners and for people moving into robotics from another field. Basic familiarity with Python and using a computer's command line will help, but everything else is taught from scratch.
Yes. Your engineers receive dedicated Slack access to the instructor for continuous Q&A and troubleshooting during their real-world implementation phase.
No. The simulation track runs entirely on your laptop with ROS 2, Gazebo, and RViz2, so you don't need to buy any hardware. You'll just need: A laptop or desktop running Linux, macOS, or Windows that can handle ROS 2 and Gazebo.
Recommended specs: 16GB RAM, a recent multi-core CPU, and about 50GB of free disk space.
Yes. This is a hands-on course where you build a real autonomous robot, so you'll need the following hardware: NVIDIA Jetson Orin, Raspberry Pi 5, Mobile robot base, 2D LiDAR, CSI camera for computer vision. We will get you the full list with recommended items before the course starts, estimated at about $650–800.
You'll need a working knowledge of Python. You should be comfortable writing functions and classes, working with modules, and running scripts from the command line. Recommended: Take Embedded Systems and Robotics Software first. It covers Linux, the Raspberry Pi 5, and building the robot hardware, which makes it a natural lead-in to ROS 2.
Yes. You'll build a real robot, so you'll need:
Raspberry Pi 5 (4GB is enough), about $85
ESP32 about $10
2 DC motors with rotary encoders, $25–40
H-bridge motor driver (e.g., TB6612FNG or L298N), about $5–10
Robot chassis and wheels, about $15–30
Breadboard, jumper wires, resistors, and basic components, about $15–20
Digital multimeter, about $15–25
Battery pack $25–40
microSD card (32GB or larger), about $10
Estimated total: about $200-$275
You'll need a working knowledge of Python and ROS 2. You should be comfortable writing Python scripts, working with classes and packages, and building basic ROS 2 nodes that publish, subscribe, and use launch files. Recommended: This course builds on two earlier courses, and taking them first will help a lot:
Embedded Systems and Robotics Software covers Linux on embedded boards, working with hardware, and the basics of robotics software. ROS 2 Robotics Developer covers nodes, topics, services, actions.
Live, five consecutive days. Sessions are recorded and the archive is yours permanently, but the recordings are a reference for afterwards rather than an alternative to attending — most of the value is in being unblocked by an instructor while you are actually stuck.
No. The simulation track runs entirely on your laptop with ROS 2, Gazebo, and RViz2, so you don't need to buy any hardware. You'll just need: A laptop or desktop running Linux, macOS, or Windows that can handle ROS 2 and Gazebo. Recommended specs: 16GB RAM, a recent multi-core CPU, and about 50GB of free disk space.
Yes. This is a hands-on course where you build a real autonomous robot, so you'll need the following hardware: NVIDIA Jetson Orin, Raspberry Pi 5, Mobile robot base, 2D LiDAR, CSI camera for computer vision. We will get you the full list with recommended items before the course starts, estimated at about $650–800.
You'll need a working knowledge of Python. You should be comfortable writing functions and classes, working with modules, and running scripts from the command line. Recommended: Take Embedded Systems and Robotics Software first. It covers Linux, the Raspberry Pi 5, and building the robot hardware, which makes it a natural lead-in to ROS 2.
Yes. You'll build a real robot, so you'll need:
Raspberry Pi 5 (4GB is enough), about $85
ESP32 about $10
2 DC motors with rotary encoders, $25–40
H-bridge motor driver (e.g., TB6612FNG or L298N), about $5–10
Robot chassis and wheels, about $15–30
Breadboard, jumper wires, resistors, and basic components, about $15–20
Digital multimeter, about $15–25
Battery pack $25–40
microSD card (32GB or larger), about $10
Estimated total: about $200-$275
You'll need a working knowledge of Python and ROS 2. You should be comfortable writing Python scripts, working with classes and packages, and building basic ROS 2 nodes that publish, subscribe, and use launch files. Recommended: This course builds on two earlier courses, and taking them first will help a lot:
Embedded Systems and Robotics Software covers Linux on embedded boards, working with hardware, and the basics of robotics software. ROS 2 Robotics Developer covers nodes, topics, services, actions.
Live, five consecutive days. Sessions are recorded and the archive is yours permanently, but the recordings are a reference for afterwards rather than an alternative to attending — most of the value is in being unblocked by an instructor while you are actually stuck.
You'll need a working knowledge of Python. You should be comfortable writing functions and classes, working with modules, and running scripts from the command line. Recommended: Take Embedded Systems and Robotics Software first. It covers Linux, the Raspberry Pi 5, and building the robot hardware, which makes it a natural lead-in to ROS 2.
Yes. You'll build a real robot, so you'll need: Raspberry Pi 5 (4GB is enough), about $85 ESP32 about $10 2 DC motors with rotary encoders, $25–40 H-bridge motor driver (e.g., TB6612FNG or L298N), about $5–10 Robot chassis and wheels, about $15–30 Breadboard, jumper wires, resistors, and basic components, about $15–20 Digital multimeter, about $15–25 Battery pack $25–40 microSD card (32GB or larger), about $10 Estimated total: about $200-$275
You'll need a working knowledge of Python and ROS 2. You should be comfortable writing Python scripts, working with classes and packages, and building basic ROS 2 nodes that publish, subscribe, and use launch files. Recommended: This course builds on two earlier courses, and taking them first will help a lot:
Embedded Systems and Robotics Software covers Linux on embedded boards, working with hardware, and the basics of robotics software. ROS 2 Robotics Developer covers nodes, topics, services, actions.
Live, five consecutive days. Sessions are recorded and the archive is yours permanently, but the recordings are a reference for afterwards rather than an alternative to attending — most of the value is in being unblocked by an instructor while you are actually stuck.
You'll need a working knowledge of Python and ROS 2. You should be comfortable writing Python scripts, working with classes and packages, and building basic ROS 2 nodes that publish, subscribe, and use launch files. Recommended: This course builds on two earlier courses, and taking them first will help a lot: Embedded Systems and Robotics Software covers Linux on embedded boards, working with hardware, and the basics of robotics software. ROS 2 Robotics Developer covers nodes, topics, services, actions.
Live, five consecutive days. Sessions are recorded and the archive is yours permanently, but the recordings are a reference for afterwards rather than an alternative to attending — most of the value is in being unblocked by an instructor while you are actually stuck.