Learn AI engineering the way we build it.
Free, hands-on courses from the SutraCore team. Each one follows the same tools and process we use on client and in-house products: real hardware, measurable checks, and code you can reuse.
Start with edge AI on NVIDIA Jetson.
Free NVIDIA Jetson AI course: 30 days, 16 steps
A free 30-day NVIDIA Jetson AI course: CUDA, PyTorch, TensorRT, edge models, on-device LLMs and RAG, then FastAPI and Next.js — by the SutraCore team.
- CUDA and GPU basics on NVIDIA Jetson
- PyTorch training and transfer learning
- Model export to ONNX, TensorRT and TFLite int8
- Sensor, audio and object-detection models
- On-device LLMs with llama.cpp and Nemotron
- Retrieval-augmented generation (RAG)
- FastAPI ML workers and a Next.js front end
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The same skills our team uses every day.
AI engineering
LLM features, RAG, and AI workflows built for production — evals, guardrails, cost caps, and tracing, on hosted APIs or local LLMs.
MCP tools & agents
Model Context Protocol servers and tools that connect AI assistants and agents to your data, APIs, and internal systems — safely.
Machine learning
Python ML pipelines for classification, forecasting, recommendations, and search — from data prep and training to a FastAPI endpoint.
Deep learning
CUDA-accelerated GPU workloads: fine-tuning, embeddings, vision and media models, and self-hosted local LLM inference.
Rather have the team build it for you?
AI products, ML pipelines, and local LLMs on NVIDIA GPUs — fixed price after a free 30-minute scoping call.