AI Sovereignty Training in Transylvania Central

This instructor-led, live training in Transylvania Central (online or onsite) is aimed at system administrators and DevOps engineers who wish to deploy, configure, and manage EXO clusters for private LLM inference across multiple Apple Silicon or Linux nodes.

This instructor-led, live training in Transylvania Central (online or onsite) is aimed at DevOps engineers and infrastructure architects who wish to automate the provisioning, monitoring, and lifecycle management of private AI clusters built on EXO.

This instructor-led, live training in Transylvania Central (online or onsite) is aimed at security engineers and compliance officers who wish to harden EXO deployments, control model access, and govern AI workloads running entirely on-premise.

This instructor-led, live training in Transylvania Central (online or onsite) is designed for developers and technical teams who want to use Ollama and open models to create and operate private agentic AI solutions on internal infrastructure.

By the end of this training, participants will be able to: install and configure Ollama, evaluate and run open models locally, develop simple agentic and retrieval-based workflows, and implement security and governance controls for regulated environments.

Ollama is an open-source utility designed to run large language models locally on both consumer and enterprise-grade hardware. It simplifies complex tasks such as model quantization, GPU allocation, and API service provision into a single command-line interface, allowing organizations to host LLMs like Llama, Mistral, and Qwen on their own infrastructure without transmitting prompts or data to external providers like OpenAI, Anthropic, or Google.

This instructor-led training in Transylvania Central (delivered online or onsite) targets mid-level IT executives, compliance officers, security specialists, and enterprise architects seeking to utilize sovereign AI principles and governance strategies. The goal is to design AI environments that protect sensitive data, adhere to localization rules, and decrease vendor lock-in.

By the end of this session, participants will be able to explain sovereign AI concepts, assess hosting and governance alternatives, define controls for prompts and logs, and develop a practical roadmap for adoption.