AI infrastructure at national scale | Sri AI

Course overview

Running inference for twenty-two million people on infrastructure that must stay inside Sri Lanka, on a budget that is not a foreign lab budget.

Level: Advanced  ·  Mode: Evenings, online

Who this course is for

Platform and infrastructure engineers.

What you will learn

• Size and plan inference capacity
• Serve models efficiently under real load
• Design for sovereignty and local hosting
• Keep unit costs survivable

Syllabus

1. Module 1: Inference serving and batching
2. Module 2: GPU economics
3. Module 3: Caching and routing
4. Module 4: Sovereignty and data residency
5. Module 5: Capacity planning and failure

Final project

Every module ends in hands-on practice, and the course ends with a project you build and present. Your certificate names that project.

Before you start

Production ML, or infrastructure experience.