AIINFRA 101: Applied Infrastructure & Containerization — Outcomes & Rubrics

Course Learning Outcomes

1. CLO1 — Explain containerization and build optimized, secure Docker images for AI/Python applications.
2. CLO2 — Compose and run multi-container and GPU-enabled AI stacks with the NVIDIA Container Toolkit.
3. CLO3 — Deploy, scale, and manage AI workloads on Kubernetes (deployments, services, config, HPA, GPU-aware scheduling).
4. CLO4 — Provision secure, cost-guarded cloud infrastructure (compute, GPU, storage, IAM) and manage it as code with Terraform.
5. CLO5 — Build CI/CD pipelines with GitHub Actions that automatically test, build, deploy, and monitor containerized model services.

Together, CLO1–CLO5 ladder into the certificate's program-level outcomes by building the practical AI infrastructure and architecture skills — containerization, orchestration, cloud provisioning, infrastructure-as-code, and deployment automation — that California employers expect of job-ready AI infrastructure practitioners.

Rubrics

1. Lab / Hands-on Assignment Rubric (50 pts)