AI Sovereignty Training in Gaia

This instructor-led, live training in Gaia (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 Gaia (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 Gaia (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 Gaia (online or onsite) is designed for developers and technical teams who aim to utilize Ollama and open models to build 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, create simple agentic and retrieval-based workflows, and apply security and governance controls appropriate for regulated environments.

Ollama is an open-source utility designed to run large language models locally on both consumer-grade and enterprise hardware. It consolidates complex processes such as model quantization, GPU resource allocation, and API service delivery into a single command-line interface. This allows organizations to self-host powerful LLMs like Llama, Mistral, and Qwen, ensuring that prompts and data never leave their infrastructure or are sent to third-party providers like OpenAI, Anthropic, or Google.

This instructor-led, live training in Gaia (online or onsite) targets intermediate-level IT leaders, compliance professionals, security teams, and enterprise architects who wish to apply sovereign AI principles and governance practices to design AI environments that safeguard sensitive data, meet localization requirements, and minimize vendor lock-in.

Upon completing this training, participants will be able to: explain sovereign AI concepts, evaluate hosting and governance options, define controls for prompts and logs, and create a practical adoption roadmap.