Move from experimentation to a reproducible, shareable format.

Explore tools like Docker, FastAPI, or simple cloud deployment.

Week 4 Focus: Intro to MLOps & Deployment. Topics include packaging your model (move from experimentation to a reproducible, shareable format), setting up basic infrastructure with Docker, FastAPI, or simple cloud deployment, and thinking in pipelines (automating data inputs, retraining, and model monitoring).

explore tools like Docker, FastAPI, or simple cloud deployment.

This session covers packaging your model for reproducibility, setting up basic infrastructure (Docker, FastAPI, or simple cloud deployment), and thinking in pipelines (how to automate data inputs, retraining, and monitoring).

Overview of how Small Language Models (SLMs) can solve business problems and boost device intelligence, with a comparison to Large Language Models (LLMs). Focus on fine-tuning and customization, edge deployments for real-time processing, and a cloud-to-edge deployment roadmap using Azure to maintain IP ownership and integration. Includes perspectives on leveraging SLMs to revolutionize devices and mentions Microsoft’s Student Ambassador Program energizing students to advance intelligent tech.