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Deploying AI on your own servers | Sri AI
AI: Data & Platform

Deploying AI on your own servers | Sri AI

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Course overview

From laptop demo to a service many people depend on, on your own hardware rather than a foreign cloud bill.

Level: Advanced  ·  Mode: Evenings, online

Who this course is for

Engineers taking agents and assistants to production.

What you will learn

  • Serve models with vLLM
  • Package everything in Docker
  • Handle many users with batching and caching
  • Monitor, back up and update safely

Syllabus

  1. Module 1: Serving engines
  2. Module 2: Containers
  3. Module 3: Batching and caching
  4. Module 4: Authentication and multiple users
  5. Module 5: Monitoring
  6. Module 6: Updates and backups

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

AI app development with open models.

Open-source tools you will use

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