Instructor-led live training courses on AI Sovereignty, available online or onsite, illustrate through interactive, hands-on practice how to build, deploy, and manage AI systems while maintaining full control over AI models, data, infrastructure, governance, and compliance.
AI Sovereignty training is offered as either online live training or onsite live training. Online live training (also referred to as remote live training) is delivered via an interactive remote desktop. Onsite live training can be conducted at the customer’s premises in Plovdiv or at NobleProg corporate training centers in Plovdiv.
AI Sovereignty focuses on reducing dependence on external AI providers by enabling organizations to operate secure, compliant, transparent, and locally controlled AI solutions.
NobleProg -- Your Local Training Provider
Business Center Plovdiv
Han Kubrat St 1, Plovdiv, Bulgaria, 4017
This is the most modern business center in the city, with all the necessary functionalities, while being located in a green part of the city.
It is about 20 minutes by bus from the main train station as well as the city center.
This instructor-led, live training in Plovdiv (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 Plovdiv (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 Plovdiv (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 Plovdiv (online or onsite) is targeted at developers and technical teams who want to use 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 for regulated environments.
Ollama is an open-source utility designed to run large language models locally on both consumer-grade and enterprise hardware. It simplifies complex tasks such as model quantization, GPU resource management, and API serving into a single command-line interface, allowing organizations to self-host models like Llama, Mistral, and Qwen without transmitting prompts or data to external services like OpenAI, Anthropic, or Google.
This instructor-led live training in Plovdiv (online or onsite) is tailored for intermediate-level IT leaders, compliance professionals, security teams, and enterprise architects aiming to leverage sovereign AI principles and governance practices. The goal is to design AI environments that protect sensitive data, fulfill localization requirements, and decrease vendor lock-in.
By the end of the course, participants will be able to: explain sovereign AI concepts, assess hosting and governance options, define controls for prompts and logs, and develop a practical adoption roadmap.
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