LEARN. BUILD. PROVE. EARN YOUR PLACE.
Aurora workshops move from guided instruction into practical tasks, real tools, and a capstone that proves what you can do.
Take a single track or combine several where the timetable allows. The price on each card is the price checkout charges.
Learn: - Python, scikit-learn, OpenCV (no ROS2 or Gazebo). - Clean and visualise sensor data. Train classifiers and regressors. - Do image processing and basic detection with OpenCV.
Enroll by 26 Oct 2026
₦60,000
Learn: - ROS 2, PX4 or ArduPilot SITL, Gazebo, MAVROS or Micro XRCE-DDS, RViz2, QGroundControl. - Fly in simulation manually, then via offboard control. - Tune PID loops and read IMU and attitude data. Log and plot flights. Write waypoint mission nodes.
Enroll by 26 Oct 2026
₦60,000
Learn: - Solidity, Hardhat or Foundry, a local Ethereum testnet, Python (web3.py), ROS 2 bridge node. - Write and test smart contracts. - Set up wallets and device identity. - Build a ROS 2 node that logs robot events on-chain. - Do task auctions and permissions between simulated robots.
Enroll by 26 Oct 2026
₦60,000
Python, OpenCV, ROS 2 cv_bridge, Gazebo camera plugins, YOLO (Ultralytics), RViz2. Calibrate a camera. Do filtering, edge and feature detection, and colour segmentation. Run object detection and tracking. Stream simulated camera topics into ROS 2 and publish detections back..
Enroll by 26 Oct 2026
₦60,000
ESP32 or Arduino, micro-ROS, MQTT, Node-RED or Grafana, ROS 2. Wire and read sensors. Run micro-ROS on a microcontroller and talk to a ROS 2 graph. Publish telemetry over MQTT and build a live dashboard. Send remote commands back to the hardware.
Enroll by 26 Oct 2026
₦60,000
ROS 2, Gazebo, RViz2, TurtleBot3 or a custom differential-drive URDF, Nav2, SLAM Toolbox, tf2. Build a robot model with LiDAR and IMU. Handle odometry and the TF tree. Do SLAM mapping, then localisation with AMCL. Tune Nav2 costmaps and planners..
Enroll by 26 Oct 2026
₦60,000
Python 3, Ubuntu terminal, Bash, Git/GitHub, VS Code. Build a Linux workflow (file system, permissions, processes, shell scripts). Write Python through data structures, functions, and OOP. Run real Git workflows (branches, pull requests, merge conflicts).
Enroll by 26 Oct 2026
₦60,000
ROS 2, MoveIt 2, Gazebo, RViz2, URDF/Xacro, ros2_control. Write a URDF for a 3 to 6 DOF arm. Visualise and move joints in RViz2. Simulate in Gazebo with ros2_control. Solve forward and inverse kinematics by hand, then with MoveIt. Plan trajectories and avoid collisions.
Enroll by 26 Oct 2026
₦60,000
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A multi-track robotics programme where every learner chooses their own path - and can walk more than one
How The Program Works
Each paid track is ₦60,000. The Paystack total is the sum of those prices for the tracks you select.
Charged at the listed price
Browse tracksOWN THE HARDWARE
Optional kits for learners who want to build on their own desk. Simulation and remote labs stay available either way — a kit is never required to complete AEP.
Multi-DOF arm, gripper, and controller pack for kinematics, motion planning, and pick-and-place practice at home.
Pricing Coming Soon
ESP32 + Raspberry Pi boards, sensor packs, and cabling for MQTT, dashboards, and edge intelligence labs.
Pricing Coming Soon
Earned by completing a foundation track when one is listed — proof you can code, collaborate, and continue.
Awarded for weekly tasks plus a portfolio-ready capstone in your chosen specialization.
Recognises learners who combine tracks into a coherent autonomous-systems or specialist pathway.
Top performers across all tracks form Aurora's recruitment pool for internships and competitive-robotics teams.
— REGISTRATION & ENROLLMENT
Dates are shown on each course when they are set.
8 tracks, each charged at the price shown. A capstone proves what you can do.
AURORA ROBOTICS LTD | RC-8896924 | Abuja, Nigeria | admin@aurora-robotics.com
Mobile base, LiDAR, and depth camera setup for mapping, localisation, SLAM, and navigation missions.
Pricing Coming Soon
Simulation and remote-lab access is included regardless — a kit is always optional.
