Open Academy Dot Space offers free learning modules across technology and engineering, including AI, electronics, robotics, and practical software topics. Each module blends structured lessons, hands-on exercises, and real-world scenarios.
Open Academy Dot Space provides free, practical learning modules across technology and engineering. Topics include AI, electronics, robotics, software, and hardware design. Lessons are designed to be applied, with exercises and scenarios that build real-world problem-solving skills.
Each module is a focused learning experience with lessons, exercises, and scenarios.
A focused program for learning electronics, PCB design, structured lessons, exercises, and practical engineering thinking. Learn directly in the browser in the PCB trainer.
From rigid-body kinematics and dynamics to SLAM, motion planning, learning, multi-robot coordination, and safe system integration — with lessons, exercises, and scenarios in English and German.
From pixels and classical filters through CNNs, detection, segmentation, transformers, video and 3D, diffusion and NeRF, vision-language models, robustness, and production deployment — with lessons, exercises, and scenarios in English and German.
From MDPs and tabular methods through deep RL, PPO and SAC, simulation and sim-to-real, safe and offline learning, goal-conditioned policies, and a capstone that ties control, data, and deployment together — with lessons, exercises, and scenarios in English and German.
The learning flow blends structured lessons with hands-on practice and scenarios.
Modules are organized into levels and topics so learners can progress from foundations to more advanced technical material.
Exercises and scenarios are used to reinforce the material instead of stopping at static reading alone.
Progress is stored locally in your browser so you can pick up where you left off.
Quick answers about the learning experience.
Topics across tech, AI, electronics, robotics, and engineering, with the current module focused on electronics and PCB design.
No. Progress is stored locally in your browser.
Yes. The trainer source is available in the project repository below.
Feedback and bug reports can be sent through the GitHub repository issues page.