Sign in Explore the program

The AI Engineering Program: Module 12 of 13

Production AI & LLMOps

Package, deploy, monitor and pay for AI systems like a production team does.

24guided hours
10lessons
Onlineself-paced
Enrol in the courseTry lesson 1 free

Lessons

Every lesson: deep notes, curated lectures, an animated explainer, a hands-on lab, practice questions and a timed exam.

  1. Docker for AI apps
  2. CI/CD with GitHub Actions, with eval gates
  3. Deploying on free tiers
  4. Cloud essentials: storage, serverless and managed model APIs on AWS
  5. Secrets, authentication and rate limiting
  6. Monitoring, logging and alerts
  7. Cost engineering: caching, model routing and batching
  8. Drift, feedback loops and retraining
  9. Incidents and rollbacks
  10. Module project

Tools introduced: Docker

Module project

Productionise the Module 10 agent: containerised, CI/CD with eval gates, deployed, with a monitoring dashboard and a written runbook.

PreviousModule 11: Fine-Tuning, Open Models & InferenceNextModule 13: Capstone & Career Launch