AI Sovereignty Training in India

This instructor-led live training in India (online or onsite) is designed for 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 India (online or onsite) targets DevOps engineers and infrastructure architects who intend to automate the provisioning, monitoring, and lifecycle management of private AI clusters built on EXO.

This instructor-led, live training in India (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 India (online or onsite) targets developers and technical teams who aim to build and operate private agentic AI solutions on internal infrastructure using Ollama and open models.

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 tool for running large language models locally on consumer and enterprise hardware. It abstracts model quantization, GPU allocation, and API serving into a single command-line interface, enabling organizations to self-host LLMs like Llama, Mistral, and Qwen without sending prompts or data to OpenAI, Anthropic, or Google.

This instructor-led, live training in India (online or onsite) is aimed at intermediate-level IT leaders, compliance professionals, security teams, and enterprise architects who wish to leverage sovereign AI principles and governance practices. The objective is to design AI environments that protect sensitive data, support localization requirements, and reduce vendor lock-in.

By the end of 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.