Tech Monolith Academy
Learn edge AI and firmware on real hardware.
Taught by engineers who ship these systems
Courses are built around lab work, and every seat works on Servitor hardware in the lab. Available in English and Turkish.
Edge AI on SBCs: from model to device
Train, quantize and deploy a model to an NPU, then measure latency and power on the bench.
ML on microcontrollers
Keyword spotting and anomaly detection on Cortex-M class MCUs.
Computer vision for industrial inspection
Dataset strategy, defect models, lighting and cameras, and closing the loop with a PLC.
Industrial protocols: Modbus, OPC UA, MQTT
How plant floors talk, and how to bridge them safely to IT systems.
IIoT data pipelines and dashboards
Sparkplug B, time-series storage, alerting and fleet management.
Applied LLMs for software teams
Use AI coding assistants and LLM APIs productively and safely.
Building AI agents and RAG systems
Tool use, retrieval over company documents, evaluation and guardrails.
MLOps for the edge
Versioning, CI for models, staged rollouts to fleets and drift monitoring.
Three ways to learn with us
Public cohorts
Scheduled courses for individuals, online or on-site depending on your region. Small groups.
Corporate in-house
Any course at your site, adapted to your hardware, codebase and use cases.
Bootcamps
Multi-week, project-based programs ending in a capstone demo day.
Upcoming public cohorts
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A certificate that proves your contribution.
Certificates are issued for your graded contribution to a practical project, not attendance.
Plan training for my teamFrequently asked questions
Do I need my own hardware?
No. Every seat works on Servitor hardware in the lab.
What background do I need?
Each course lists prerequisites. Beginner courses assume basic programming; advanced ones assume C or Python experience.
Can courses be delivered in Turkish?
Yes — all courses are available in English and Turkish.
Do you train corporate teams on-site?
Yes. In-house courses are adapted to your hardware and use cases.