RealSense University
Welcome to RealSense University – your comprehensive online curriculum for mastering RealSense 3D stereo cameras from beginner to expert level.
Enroll NowAbout This Program
RealSense University is designed to take you from complete beginner to expert developer in working with RealSense cameras. Whether you’re building robotics applications, computer vision systems, or AI-powered solutions, this curriculum provides structured learning with hands-on projects.
Curriculum Overview
Level 1: Beginner — Getting Started with RealSense
Goal: Understand what RealSense is, install it, and capture your first 3D data.
Level 2: Intermediate — Building Vision-Aware Apps
Goal: Learn to integrate RealSense with robotics frameworks and computer vision tools.
Level 3: Advanced — AI + Robotics with RealSense
Goal: Integrate RealSense depth perception with AI, SLAM, and embodied robotics.
Level 4: Expert — Master Classes & Certifications
Goal: Enable power users to innovate with RealSense and contribute to the ecosystem.
Quick Start
- New to RealSense? Start with Level 1: Beginner
- Have some experience? Jump to Level 2: Intermediate
- Ready for advanced topics? Explore Level 3: Advanced
- Want to become an expert? Master Level 4: Expert
Level 1: Beginner — Getting Started with RealSense
Level 2: Intermediate — Building Vision-Aware Apps
Level 3: Advanced — AI + Robotics with RealSense
Level 4: Expert — Master Classes & Certifications
RealSense Developer Certification Exam
Prerequisites
For Level 1 (Beginner):
- Basic programming knowledge (Python recommended)
- Computer with USB 3.0 port
- RealSense camera (D405, D415, D421, D435, D455, D457, or D555)
For Level 2 (Intermediate):
- Completion of Level 1 or equivalent experience
- Basic understanding of robotics concepts
- Linux environment (Ubuntu 24.04+ recommended)
For Level 3 (Advanced):
- Completion of Level 2 or equivalent experience
- Familiarity with ROS2
- Understanding of computer vision and AI concepts
For Level 4 (Expert):
- Completion of Level 3 or equivalent experience
- Advanced programming skills
- Experience with embedded systems and optimization
Hardware Requirements
Level | Minimum Requirements | Recommended |
|---|---|---|
Level 1 | RealSense D415/D435, USB 3.0, 8GB RAM | RealSense D455, 16GB RAM |
Level 2 | Level 1 + Linux system | NVIDIA GPU, ROS2 compatible hardware |
Level 3 | Level 2 + IMU-enabled camera | Multi-camera setup, high-end GPU |
Level 4 | Level 3 + development board | Custom hardware, multiple sensors |
Learning Path Recommendations
Robotics Developer Path
Level 1 → Level 2 → Level 3 (Modules 1-2) → Level 4 (Track 1)
AI/Computer Vision Path
Level 1 → Level 2 (Modules 1,3) → Level 3 (Modules 3-4) → Level 4 (Track 2)
Embedded Systems Path
Level 1 → Level 2 (Module 4) → Level 3 (Module 2) → Level 4 (Track 3)
Support
- Email: university@realsenseai.com
- Documentation: Official RealSenseDocs
- Issues: GitHub Issues
- Discord: RealSense Discord Channel
Acknowledgments
- RealSense team for the amazing hardware and SDK
- ROS2 community for robotics framework
- OpenCV and Open3D communities for computer vision tools
- All contributors and students of RealSense University
Contributing
We welcome contributions to RealSense University! Please see our Contributing Guidelines for details.
License
This curriculum is licensed under the MIT License.