Professional Robotics & AI Development Track
Build expertise through structured learning modules that progress from foundational concepts to advanced implementation. Our curriculum emphasizes hands-on experience with real-world applications in automation and intelligent systems.
Progressive Skill Development
Each module builds on previous knowledge while introducing new concepts. Students work through practical exercises that mirror real industry challenges, developing both technical skills and problem-solving approaches.
- Sequential skill building with clear prerequisites
- Industry-standard tools and platforms
- Collaborative project work
- Mentorship from experienced professionals
- Portfolio development throughout program
- Access to specialized hardware and software
Programming Foundations
8 weeksEstablish solid programming fundamentals essential for robotics development. Students learn Python syntax, work with common data structures, and understand algorithm efficiency. Version control with Git introduces collaborative development practices used throughout the program.
Hardware Integration
6 weeksBridge software and hardware through hands-on work with sensors, actuators, and control systems. Students design circuits, program microcontrollers, and learn troubleshooting techniques for hardware-software integration challenges.
Machine Learning Applications
10 weeksApply machine learning techniques to robotics problems. Focus on computer vision for object recognition, neural network training for behavior prediction, and data processing pipelines that enable intelligent decision-making in autonomous systems.
System Architecture
8 weeksDesign scalable robotic systems using industry-standard frameworks. Students work with ROS (Robot Operating System) to create modular, distributed applications that handle real-time sensor data and coordinate multiple subsystems effectively.
Advanced Automation
10 weeksImplement sophisticated autonomous behaviors including navigation, mapping, and adaptive responses to environmental changes. Students work on SLAM (Simultaneous Localization and Mapping) algorithms and develop safety-critical control systems.
Capstone Integration
10 weeksSynthesize learning through a comprehensive project that demonstrates technical mastery and practical application. Teams design, implement, and present complete robotic solutions while documenting their development process and technical decisions.
Assessment & Skill Validation
Practical Evaluations
Regular hands-on assessments where students demonstrate skills through working code, functional hardware setups, and problem-solving scenarios that mirror real workplace challenges.
Project Milestones
Incremental project deliverables that build toward larger goals. Each milestone includes code review, documentation assessment, and peer feedback to ensure comprehensive skill development.
Collaborative Reviews
Team-based evaluation sessions focusing on communication skills, technical explanation abilities, and collaborative problem-solving approaches essential for professional development work.
Ready to begin your professional development in robotics and AI? Our next cohort starts September 2025.
Learn More About Enrollment