Applied Engineering Academy
Mastering AI on Actual Silicon
200+
Hands-on Hours
8
Max Cohort Size
3+
Models Deployed
Core Disciplines
01
02
03
04
C++ Embedded Systems
Edge Machine Learning
Local Vector Databases
Hardware Prototyping
Deep dive into low-level programming, microcontroller architectures, and real-time operating systems for robust hardware control.
Quantize, optimize, and deploy neural networks directly on resource-constrained devices, ensuring privacy and speed.
Design and implement efficient on-device vector stores for local LLM inference and knowledge retrieval without cloud dependency.
Hands-on assembly, soldering, and debugging of IoT devices, sensor integrations, and custom PCB designs.
Real-world Impact
Deployed Intelligence, Tangible Results
50+
Prototypes Built
10+
Commercial Deployments
1
Hardware Kit Included
Ready to Build with AIDET Labs?
Submit your engineering background for a spot in our next cohort. Spaces are limited for focused mentorship.