Software, Cloud, Tools Infrastructure, and MLOps

Cloud, Developer Tools, and Scalable Infrastructure

Targeted at applied undergraduate / junior–senior CS and engineering students (and early-career developers) who can already write code but haven't shipped production services. Learn to build, containerize, and deploy real services using the tools professional infrastructure engineers work with daily: Docker, Kubernetes, CI/CD pipelines, REST APIs, cloud platforms, and observability stacks.

Software Engineering Foundations for AI and Accelerated Computing

Learn the software engineering habits, GPU computing concepts, and MLOps vocabulary that NVIDIA hiring reviewers actually look for in a Freshman/Sophomore portfolio, then build a containerized inference-service spec to prove it.