Edge AI & Embedded AI Engineer
On-Device AI Specialist
Run AI on-device and become the profile Turkish OEMs need most.
Large Turkish OEMs (Aselsan, Vestel, Arçelik, Beko) seek edge AI engineers; the university pipeline isn't enough. Deep coverage of model optimization (quantization, pruning, distillation), ONNX/TensorRT/OpenVINO, NVIDIA Jetson, Raspberry Pi + Coral TPU, mobile AI and edge LLM (Ollama, MLC).
Quick Facts
Why This Program for Your Company
Talent Development
Grow your in-house teams; reduce vendor and outsourcing dependency
Fast Time-to-Value
Built for a 90-day pilot-to-production trajectory
Measurable ROI
Before/after capability report + KPI dashboard with tangible outcomes
AI Culture
AI adoption across all levels — from executive to engineer
Delivery Models
Choose the delivery format that fits your team
On-site
At your company location, closed group
Hybrid
Online + periodic in-person intensives
Fully Remote
Live remote + recordings + lab notebooks
Train-the-Trainer
Build in-house trainers — long-term scaling
Tailored to Your Company
Content is customized to your industry, regulatory framework, existing tech stack and target use cases. Labs run on your existing systems or sample datasets.
Lab Environment
Hands-on labs run on your company data (under NDA), isolated sandbox or sample dataset
Post-Training Support
30 days async support (Slack/Teams/Discord) + optional monthly follow-up sessions + code review support
Why Now? — Türkiye's Empty Market
No Turkish edge AI training. Turkish white goods, automotive and defense industries are hiring for this profile.
About the Program
Target Teams
- Embedded systems engineers
- ML engineers transitioning to edge
- Robotics & IoT developers
- OEM R&D teams
Your Team's Outcomes
- Optimize models for edge (quantize, prune, distill)
- Cross-platform deployment via ONNX, TensorRT, OpenVINO
- Run AI on NVIDIA Jetson and Raspberry Pi + Coral TPU
- Mobile AI (Core ML, TFLite) integration
- Edge LLM (Ollama, llama.cpp, MLC) deployment
Prerequisites
- Advanced Python
- Basic C/C++ (advantage)
- Deep learning fundamentals
Trainings in this Program
12 modules / micro-trainings
- 01
Edge AI Architecture
- 02
Model Optimization (Quantization, Pruning, Distillation)
- 03
ONNX, TensorRT, OpenVINO
- 04
NVIDIA Jetson Platform
- 05
Raspberry Pi + Coral TPU
- 06
Mobile AI (Core ML, TFLite)
- 07
Edge LLM (Llama.cpp, MLC, Ollama)
- 08
On-Device Fine-tuning
- 09
Federated Learning Fundamentals
- 10
Industrial IoT Integration
- 11
Turkish OEM Cases (Vestel, Arçelik, Aselsan)
- 12
Capstone: AI Product Running on Edge Device
Capstone Project
Optimized AI model running on a designated edge device (Jetson Nano, Raspberry Pi, Coral) — with performance benchmark report, OTA update mechanism and cost analysis.
How We Work
From discovery to delivery and post-training follow-up
- 1
Discovery
Free 30min — team capability map, use case discovery, goal setting
- 2
Design
Custom curriculum, lab scenarios and delivery timeline for your use cases
- 3
Delivery
Live training + hands-on labs + capstone project + completion certificate
- 4
Follow-up
Capability report + 30-day support + optional monthly check-in sessions
Career Path
Positions you can target after this program
Tech Stack & Topics
Frequently Asked Questions
How do enrollment and participant selection work?
How is pricing structured?
Can the curriculum be customized for our use cases?
On-site or remote?
Is post-training support included?
Are certificates provided?
Who is this program for?
What will I learn?
What is the duration and format?
What are the prerequisites?
Which positions does this program prepare me for?
Why is this program needed in Türkiye?
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Bring This Program to Your Team
In a free 30-minute discovery call we map your team's capability, explore your target use cases and prepare a custom quote for your company. No commitment.