Data Sovereignty Training in Dartmouth

This instructor-led, live training in (online or onsite) is aimed at enterprise leaders who wish to understand data sovereignty principles and develop compliant data management strategies.

By the end of this training, participants will be able to define data sovereignty, identify relevant laws, assess compliance risks, and implement governance frameworks for cross-border data management.

This instructor-led, live training in Dartmouth (online or onsite) is aimed at database administrators and developers who wish to migrate from proprietary databases to open source PostgreSQL.

By the end of this training, participants will be able to assess database migration readiness, plan and execute schema migration strategies, migrate data using appropriate tools, and handle application code conversion.

This instructor-led, live training in Dartmouth (online or onsite) is aimed at intermediate-level IT leaders, compliance professionals, security teams, and enterprise architects who wish to use sovereign AI principles and governance practices 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.

This capstone course teaches participants to design, deploy, and operate a complete sovereign digital infrastructure stack from the ground up. By the end of the course, students will have built a functioning mini-organization using only self-hosted, open-source tools: identity, communication, productivity, development, security, AI, and monitoring - all without reliance on Google, Microsoft, AWS, or proprietary SaaS.