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. No login is required; your progress stays in this browser.
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 digital logic and MCU architecture through serial buses, timers, ADCs, memory maps, RTOSes, drivers, debug, bootloaders, security, IoT protocols, performance tuning, co-design, safety, and a capstone integration project — with lessons, exercises, and scenarios in English and German.
From the four-layer stack and cross-compilation through U-Boot, kernel configuration, root filesystems, Buildroot and Yocto, device trees, drivers, POSIX userspace, real-time, power, security, networking, flash, OTA updates, CI/CD, and production bring-up — aligned to the Embedded Linux curriculum, with quizzes and scenarios. Lesson text is English; the UI supports English and German.
Bare-metal memory maps and C, GPIO and interrupts, timers and clocks, RTOS scheduling and IPC, real-time analysis, drivers and serial buses, low power and multicore, bootloaders and secure boot, safety evidence, testing and CI/HIL, plus a capstone view — with lessons, exercises, and scenarios in English and German UI.
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.
From architecture, DDS, and the computation graph through simulation, Nav2, MoveIt 2, perception, real-time executors, multi-robot setups, security, testing, CI/CD, and a full-stack capstone — aligned to the ROS 2 interactive curriculum, with quizzes and scenarios. Lesson text is English; the UI supports English and German.
From sampled signals, aliasing, and noise through spectra, digital filters, and Kalman estimation into nonlinear fusion, frames, multi-rate timing, INS/GNSS aiding, diagnostics, and a capstone pipeline—plus optional depth on particles, factor graphs, and data association—with lessons, exercises, and scenarios in English and German.
From embedded constraints and the end-to-end TinyML pipeline through quantization, pruning, distillation, NAS, audio and vision on MCUs, profiling, detection, on-device learning, co-design, Edge MLOps, privacy, transformers, federated learning, and a capstone system design — 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.