AI Chatbots and LLMs have changed the way we work. However, these systems are not designed to operate in the physical world.
From cars to planes to HVAC, physical computing systems are the backbone of our society's critical infrastructure.
These factors present the perfect opportunity to bridge current skill gaps and forge a new educational path for your community and organization.
In-person and online training options that integrate with your organization's current LMS strategy or workflow without disruption.
Free or cheap lab and tools options for students. Hardware and equipment is important for embedded systems development. However, courses can be taught either with simulated hardware or affordable single board computers (SBC).
Unlimited support for community college partners. Courses can be curated or co-designed to meet the specific needs of the organization.
Flexible industry options that align with your organization's STEM and engineering course objectives. Select courses from Aviation, Automotive, Building Automation Systems and low-level firmware-based game development.
Sponsor matchmaking and coordination options from industry associations and employers.
Capstone projects using real industry problems tailored for a classroom setting. Students will be able to show demo-able skills in addition to a certificate of completion.
The first 10 community college organizations receive a 50% discount across all branches and locations.
Students will learn about the systems engineering process for building next-generation flight control system software for commercial and military aircraft using the Ada programming language.
Students will learn about the systems engineering process for building in-vehicle infotainment system software using the Kotlin programming language.
Students will learn how to build low-level AI firmware with an emphasis on systems engineering verification and validation processes.
Students will learn about firmware systems development using the classic Nintendo Entertainment System as an active case study followed by applying firmware development skills to modern Internet-of-Things applications development.
AI can be a useful production tool. But AI can not understand nuance or irrational human emotion. That's where Humans come in!
All training courses are designed around four core focus areas.
Define user needs and constraints
Build physical or digital models
Test and deploy solutions
Align engineering, business, and end-user teams