IoT and Robotics: Advanced
From robotics engineer to systems architect: SLAM at depth, manipulation, multi robot fleets, edge AI at scale, and an autonomous fleet system.
- Duration
- 8 weeks
- Level
- Advanced
- Content
- 48 lessons
- 8 modules · 16 h 15 min
- Certificate
- Included
- On completion
- Access
- Fee by email
What you'll learn
Who this course is for
- Intermediate level graduates ready to architect production grade robotics and IoT systems
- Working robotics engineers preparing for senior robotics engineer or robotics systems architect roles
- Engineers who want deep, hands on experience with manipulation, multi robot systems, and embodied AI
- Anyone targeting senior level robotics research or industrial automation career tracks
Skills you'll gain
This course includes
Course content
8 modules · 48 lessons · 16 h 15 min
Advanced perception and SLAM, robotic manipulation and control theory, multi robot systems and swarm coordination, edge AI and embodied intelligence, industrial IoT and digital twins, a minor project on manipulation and multi robot coordination, safety certification and deployment engineering, and a major project architecting an autonomous fleet system.
Requirements
- Completion of the Intermediate level, or hands on experience deploying ROS 2 robots with SLAM, edge AI, and secure connectivity
- Comfort with ROS 2, computer vision, and control theory concepts
- A computer capable of running advanced robotics simulation
About this course
This is the final stage of the Ucanly IoT and Robotics track, where robotics engineers become systems architects. Built for practitioners with hands on experience deploying ROS 2 robots with SLAM, edge AI, and secure connectivity, this program goes deep into advanced SLAM with visual and LiDAR sensor fusion, robotic manipulation with inverse kinematics and grasp planning, and multi robot systems with fleet coordination and swarm algorithms. You will build embodied AI with vision language action models and reinforcement learning for control, and architect industrial IoT systems with digital twins and predictive maintenance. In your week six minor project, you will build a multi robot coordination system with manipulation capability, tested in simulation and defended technically. You will also cover functional safety, ISO and IEC standards, and production deployment engineering for fleets of robots. You will graduate having architected a complete autonomous fleet system in your week twelve major project, with multi robot coordination, advanced manipulation, embodied AI decision making, a digital twin, safety certification documentation, and a live technical and safety defense.
Earn a Ucanly certificate
Complete this course to earn a Ucanly certificate with its own page and QR code. Save it as a PDF, share its link, or add it to the certifications on your LinkedIn profile.
Frequently asked questions
It is recommended, but hands on experience deploying ROS 2 robots with SLAM, edge AI, and secure connectivity is sufficient to start.
Yes, you will design manipulation systems with inverse kinematics, trajectory planning, and grasp planning, applied in your minor project alongside multi robot coordination.
Vision language action models for robot decision making, reinforcement learning for control, and how these techniques combine with classical robotics for more capable autonomous systems.
A complete autonomous fleet system with multi robot coordination, advanced manipulation, embodied AI decision making, a digital twin, safety certification documentation, and a live technical and safety defense to Ucanly mentors.