Free industrial robot programming courses with certificate
FANUC, ABB RobotStudio and KUKA, free and complete: teach pendants, frames, motion, I/O, PLC integration, safety and offline programming, with notes, quizzes and an optional verifiable certificate.
From jogging and frames to TP programs, registers, branching, offsets, pick-and-place, ROBOGUIDE simulation, palletising, error recovery and PLC integration.
Start, jog and fault-reset a FANUC robot in T1, T2 and AUTO
Teach tool and user frames and know what a wrong TCP does
Write TP programs with J, L and C motion, FINE and CNT, approach and depart
RobotStudio from install to a running pick-and-place: stations, jogging, the FlexPendant, frames, paths, RAPID, collision checking, signals, physics, sharing and RobotStudio Cloud.
Build a station with a robot and a virtual controller
Jog with the mouse and the virtual FlexPendant in every motion mode
Define tooldata and wobjdata and know why the program follows the frame
Simulation in KUKA iiQWorks.Sim (formerly KUKA.Sim), KRL structure and programming on the smartPAD, WorkVisual configuration, fieldbus and PLC integration, safety, advanced KRL, backups and the new KRC5 micro with iiQKA.OS.
Build and program an iiQWorks.Sim (formerly KUKA.Sim) cell from the eCatalog to a running pick-and-place
Define TCPs, bases and home positions and know what $TOOL and $BASE do
Write PTP, LIN and spline motion with blending and CONT
Collaborative robots the way integrators use them: the UR family, tool and payload setup, the safety configuration, PolyScope programs, pick-and-place and palletising, force and blends, URSim, URScript, RTDE, sockets, PROFINET and real machine-tending and vision applications.
Set up a UR cobot and run a risk assessment
Configure TCP, payload and the safety planes and limits
Write PolyScope programs with waypoints, subprograms, force and blends
Motoman robots the way welding and handling shops run them: DX100, DX200 and YRC1000 controllers and pendants, jobs and interpolation, TCP, user frames and home, variables, counters and I/O, arc welding with weaving and anti-sticking, spot welding and tip dressing, alarms and recovery, backups, the Smart Pendant and MotoSim offline programming.
Jog and program from the pendant with MOVJ, MOVL and MOVC
Brand-independent offline programming with RoboDK's own academy: installation, robots, tools and frames, targets and programs, teaching on surfaces, station creation, pick and place, simulation events, 3D models and mechanisms, simulation tools, curve-follow and machining paths, modelling your own robot, the Python API, post processors and export.
Install RoboDK and build stations with robots, tools and frames
Create targets and programs and teach on surfaces
Simulate pick and place with events and mechanisms
A ROS 2 course for Python users: install ROS 2, write nodes and launch files, follow a wall, learn SLAM. Free to learn; the certificate is optional and paid.
Install ROS 2 on Ubuntu, WSL2 or a Raspberry Pi and prove the graph is running
Create a workspace, build a Python package with colcon and run a node you wrote
Write publisher, subscriber and service nodes, and define your own message type
Teach a robot arm by showing it, not by programming points: imitation learning, LeRobot and its datasets on the Hugging Face Hub, PushT and ALOHA in simulation, ACT and diffusion policies, the SO-101 arm, teleoperation and recording, training and honest evaluation, SmolVLA and vision-language-action models, Isaac Sim and sim-to-real, and the safety rules that keep learned control out of safety functions.
Explain how a learned policy differs from a taught-point robot program, and where each belongs
Load LeRobot datasets from the Hugging Face Hub and read their observations and actions
Explain behaviour cloning, compounding error and why action chunking and diffusion help
Yes. Every course uses the vendor's simulator; the concepts transfer directly to the real pendant.
Is robot learning with AI covered?
Yes. Physical AI with LeRobot teaches a robot arm from demonstrations with imitation learning, in simulation or on a low-cost SO-101 arm.
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