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Curriculum
Software, Cloud, Tools Infrastructure, and MLOps
Courses
1
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.
2
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.
